From c347228ef9708fd4f1c86d3c09b38a420ccb46ec Mon Sep 17 00:00:00 2001 From: Jeff Tang Date: Mon, 19 Oct 2020 18:02:12 -0700 Subject: [PATCH 01/18] pt mobile script and optimize recipe --- recipes_source/script_optimized.rst | 191 ++++++++++++++++++++++++++++ 1 file changed, 191 insertions(+) create mode 100644 recipes_source/script_optimized.rst diff --git a/recipes_source/script_optimized.rst b/recipes_source/script_optimized.rst new file mode 100644 index 00000000000..6a56ee2bd95 --- /dev/null +++ b/recipes_source/script_optimized.rst @@ -0,0 +1,191 @@ +Script and Optimize for Mobile Recipe +===================================== + +This recipe demonstrates how to convert a PyTorch model to TorchScript which can run in a high-performance C++ environment such as iOS and Android, and how to optimize the converted TorchScript model for mobile deployment. + +Introduction +------------ + +After a PyTorch model is trained and optionally but preferably quantized (see the Quantization for Mobile Apps Recipe), one essential step before the model can be used in iOS and Android apps is to convert the Python-dependent model to TorchScript, which can then further be optimized for mobile apps. Conversion to TorchScript can be as simple as a single call, or as complicated as changing the original model in many different places. + +Pre-requisites +-------------- + +PyTorch 1.6.0 or 1.7.0 + +Conversion to TorchScript +------------------------- + +There are two basic ways to convert a PyTorch model to TorchScript, using `trace` and `script`. Mixing `trace` and `script` may also be needed in some cases - see `here `_ for more information. + +Use the `trace` Method +^^^^^^^^^^^^^^^^^^^^^^ + +To use the `trace` method on a model, an example or dummy input for the model needs to be specified, the actual input size needs to be the same as the example input size, and the model definition cannot have control flow such as `if` or `for`. The reason for these constraints is that running `trace` on a model with an example input simply calls the model's `forward` method with the input and all operations executed in the model layers are recorded, creating the trace of the model. + +:: + + import torch + + dummy_input = torch.rand(1, 3, 224, 224) + torchscript_model = torch.jit.trace(model_quantized, dummy_input) + + +Use the `script` Method +^^^^^^^^^^^^^^^^^^^^^^^ + +For the example above, calling `script` below makes no difference: + +:: + + torchscript_model = torch.jit.script(model_quantized) + +But if a model has some flow control, then `trace` won't correctly record all the possible traces. Take some code snippet of an example model definition from `here `_ for example: + +:: + + class MyDecisionGate(torch.nn.Module): + def forward(self, x): + if x.sum() > 0: + return x + else: + return -x + + x = torch.rand(3, 4) + traced_cell = torch.jit.trace(MyDecisionGate(), x) + print(traced_cell.code) + +The code above will output: +TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! + +:: + + if x.sum() > 0: + def forward(self, + input: Tensor, + h: Tensor) -> Tuple[Tensor, Tensor]: + _0 = self.dg + _1 = (self.linear).forward(input, ) + _2 = (_0).forward(_1, ) + _3 = torch.tanh(torch.add(_1, h, alpha=1)) + return (_3, _3) + + +It is important to notice that "the trace might not generalize to other inputs" warning above means that if the model has any kind of data-dependent control flow, `trace` is not the right answer. But if we replace the last two lines of the Python code above with: + +:: + + scripted_cell = torch.jit.script(MyDecisionGate()) + print(scripted_cell.code) + +The output will be covering all possible inputs, thus generalizing to other inputs: + +:: + + def forward(self, + x: Tensor) -> Tensor: + _0 = bool(torch.gt(torch.sum(x, dtype=None), 0)) + if _0: + _1 = x + else: + _1 = torch.neg(x) + return _1 + + +This is another example of using `trace` and `script` - it converts the model trained in the PyTorch [neural machine translation tutorial](): + +:: + + encoder = EncoderRNN(input_lang.n_words, hidden_size) + decoder = AttnDecoderRNN(hidden_size, output_lang.n_words) + + # method 1: using trace with example inputs + + encoder_input=torch.tensor([1]) + encoder_hidden=torch.zeros(1, 1, hidden_size) + + decoder_input1=torch.tensor([[0]]) + decoder_input2=torch.zeros(1, 1, hidden_size) + decoder_input3=torch.zeros(MAX_LENGTH, hidden_size) + + traced_encoder = torch.jit.trace(encoder, (encoder_input, encoder_hidden)) + traced_decoder = torch.jit.trace(decoder, (decoder_input1, decoder_input2, decoder_input3)) + + # method 2: using script + + scripted_encoder = torch.jit.script(encoder) + scripted_decoder = torch.jit.script(decoder) + +So is it true that one can simply always use the `script` call and the model is converted to TorchScript? The answer is no, because TorchScript is actually a subset of Python and to make `script` work, the PyTorch model definition must only use the language features of that TorchScript subset of Python. `TorchScript Language Reference `_ covers all the details of what is supported in TorchScript. + + +Fix Errors with the `script` Method +--------------------------------------------- + +If you apply the `script` method to a non-trivial model, chances are you may encounter several types of errors. Check out `this tutorial `_ for a complete example of converting a chatbot model to TorchScript. But follow the steps below to fix common errors when you run the `script` method: + +1. For RuntimeError `attribute lookup is not defined on python value of type` (of a model), pass the value of the model as a parameter in the constructor. This is because when calling `script` on a model that accepts another model as a parameter, the model passed is actually of type `TracedModule` or `ScriptModule`, not of type `Module`, making the the model attribute not defined when scripting. + +For example, the `LuongAttnDecoderRNN` module in the tutorial above has an attribute `n_layers`, and the `GreedySearchDecoder` module refers to the `n_layers` attribute of a `decoder` instance of the `LuongAttnDecoderRNN` module, so in order to make `script` work, the `GreedySearchDecoder` module's constructor needs to be changed from: + +:: + + def __init__(self, encoder, decoder): + +to: + +:: + + def __init__(self, encoder, decoder, decoder_n_layers): + ... + self._decoder_n_layers = decoder_n_layers + + +and the `GreedySearchDecoder`'s `forward` method needs to refer `self._decoder_n_layers` instead of `decoder.n_layers`. + +2. For RuntimeError `python value of type '...' cannot be used as a value. Perhaps it is a closed over global variable? If so, please consider passing it in as an argument or use a local variable instead.`, store global variables' values as attributes in the model constructor (there's no need to add them to a special list called `__constants__`). The reason is that global values can be used conveniently in normal model training and inference, but the global values are not accessible during the scripting. + +For example, `device` and `SOS_token` are global variables, and to make `script` work, they need to be added to the `GreedySearchDecoder`'s constructor: + +:: + + self._device = device + self._SOS_token = SOS_token + +and referred to as `self._device` and `self._SOS_token` instead of `device` and `SOS_token` in the `GreedySearchDecoder`'s `forward` method. + +3. For RuntimeError `RuntimeError: all inputs of range must be '...', found Tensor (inferred) in argument`, add type definitions for each of the module's forward method arguments. Because all parameters to a TorchScript function are of the `torch.Tensor` type by default, you need to specifically declare the type for each parameter that is not of type 'Tensor'. For a complete list of TorchScript-supported types, see `here `_. + +For example, the `GreedySearchDecoder`'s `forward` method signature needs to be changed from: + +:: + + def forward(self, input_seq, input_length, max_length): + +to: + +:: + + def forward(self, input_seq, input_length, max_length : int): + +After using the `trace` or `script` method above, and fixing possible errors, you should have a TorchScript model ready to be optimized for mobile. + + + +Optimize a TorchScript Model +-------------------------------------- + +Simply run the following code snippet to optimize a TorchScript model generated with the `trace` and/or `script` method: + +:: + + from torch.utils.mobile_optimizer import optimize_for_mobile + optimized_torchscript_model = optimize_for_mobile(torchscript_model) + +The optimized model can then be saved and deployed in mobile apps: + +:: + + optimized_torchscript_model.save("optimized_torchscript_model.pth") + +For more details on what `optimize_for_mobile` does behind the scene, see `here `_. From be34ce57f119cb1ed2c62f7c3beacf5055a470fc Mon Sep 17 00:00:00 2001 From: Jeff Tang Date: Tue, 20 Oct 2020 14:50:50 -0700 Subject: [PATCH 02/18] 1 pt mobile new recipes summary and 5 recipes --- recipes_source/fuse.rst | 157 +++++++++++++++++++ recipes_source/model_preparation_android.rst | 82 ++++++++++ recipes_source/model_preparation_ios.rst | 91 +++++++++++ recipes_source/ptmobile_recipes_summary.rst | 40 +++++ recipes_source/quantization.rst | 114 ++++++++++++++ recipes_source/script_optimized.rst | 31 ++-- 6 files changed, 504 insertions(+), 11 deletions(-) create mode 100644 recipes_source/fuse.rst create mode 100644 recipes_source/model_preparation_android.rst create mode 100644 recipes_source/model_preparation_ios.rst create mode 100644 recipes_source/ptmobile_recipes_summary.rst create mode 100644 recipes_source/quantization.rst diff --git a/recipes_source/fuse.rst b/recipes_source/fuse.rst new file mode 100644 index 00000000000..97ae0df736f --- /dev/null +++ b/recipes_source/fuse.rst @@ -0,0 +1,157 @@ +Fuse Modules Recipe +===================================== + +This recipe demonstrates how to fuse a list of PyTorch modules into a single module and how to do the performance test to compare the fused model with its non-fused version. + +Introduction +------------ + +Before quantization is applied to a model to reduce its size and memory footprint (see `Quantization Recipe `_ for details on quantization), the list of modules in the model may be fused first into a single module. Fusion is optional, but it may save on memory access, make the model run faster, and improve its accuracy. + + +Pre-requisites +-------------- + +PyTorch 1.6.0 or 1.7.0 + +Steps +-------------- + +Follow the steps below to fuse an example model, quantize it, script it, optimize it for mobile, save it and test it with the Android benchmark tool. + +1. Define the Example Model +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +Use the same example model defined in the `PyTorch Mobile Performance Recipes `_: + +:: + + import torch + from torch.utils.mobile_optimizer import optimize_for_mobile + + class AnnotatedConvBnReLUModel(torch.nn.Module): + def __init__(self): + super(AnnotatedConvBnReLUModel, self).__init__() + self.conv = torch.nn.Conv2d(3, 5, 3, bias=False).to(dtype=torch.float) + self.bn = torch.nn.BatchNorm2d(5).to(dtype=torch.float) + self.relu = torch.nn.ReLU(inplace=True) + self.quant = torch.quantization.QuantStub() + self.dequant = torch.quantization.DeQuantStub() + + def forward(self, x): + x.contiguous(memory_format=torch.channels_last) + x = self.quant(x) + x = self.conv(x) + x = self.bn(x) + x = self.relu(x) + x = self.dequant(x) + return x + + +2. Generate Two Models with and without `fuse_modules` +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +Add the following code below the model definition above and run the script: + +:: + + model = AnnotatedConvBnReLUModel() + + print(model) + + def prepare_save(model, fused): + model.qconfig = torch.quantization.get_default_qconfig('qnnpack') + torch.quantization.prepare(model, inplace=True) + torch.quantization.convert(model, inplace=True) + torchscript_model = torch.jit.script(model) + torchscript_model_optimized = optimize_for_mobile(torchscript_model) + torch.jit.save(torchscript_model_optimized, "model.pt" if not fused else "model_fused.pt") + + prepare_save(model, False) + + model = AnnotatedConvBnReLUModel() + model_fused = torch.quantization.fuse_modules(model, [['bn', 'relu']], inplace=False) + print(model_fused) + prepare_save(model_fused, True) + + +The outputs of the original model and its fused version will be: + +:: + + AnnotatedConvBnReLUModel( + (conv): Conv2d(3, 5, kernel_size=(3, 3), stride=(1, 1), bias=False) + (bn): BatchNorm2d(5, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (relu): ReLU(inplace=True) + (quant): QuantStub() + (dequant): DeQuantStub() + ) + + AnnotatedConvBnReLUModel( + (conv): Conv2d(3, 5, kernel_size=(3, 3), stride=(1, 1), bias=False) + (bn): BNReLU2d( + (0): BatchNorm2d(5, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (1): ReLU(inplace=True) + ) + (relu): Identity() + (quant): QuantStub() + (dequant): DeQuantStub() + ) + +In the second fused model output, the first item `bn` in the list is replaced with the fused module, and the rest of the modules (`relu` in this example) is replaced with identity. In addition, the non-fused and fused versions of the model `model.pt` and `model_fused.pt` are generated. + +3. Build the Android benchmark Tool +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +Get the PyTorch source and build the Android benchmark tool as follows: + +:: + + git clone --recursive https://github.com/pytorch/pytorch + cd pytorch + git submodule update --init --recursive + BUILD_PYTORCH_MOBILE=1 ANDROID_ABI=arm64-v8a ./scripts/build_android.sh -DBUILD_BINARY=ON + + +This will generate the Android benchmark binary `speed_benchmark_torch` in the `build_android/bin` folder. + +4. Test Compare the Fused and Non-Fused Models +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +Connect your Android device, then copy `speed_benchmark_torch` and the model files and run the benchmark tool on them: + +:: + + adb push build_android/bin/speed_benchmark_torch /data/local/tmp + adb push model.pt /data/local/tmp + adb push model_fused.pt /data/local/tmp + adb shell "/data/local/tmp/speed_benchmark_torch --model=/data/local/tmp/model.pt" --input_dims="1,3,224,224" --input_type="float" + adb shell "/data/local/tmp/speed_benchmark_torch --model=/data/local/tmp/model_fused.pt" --input_dims="1,3,224,224" --input_type="float" + + +The results from the last two commands should be like: + +:: + + Main run finished. Microseconds per iter: 6189.07. Iters per second: 161.575 + +and + +:: + + Main run finished. Microseconds per iter: 6216.65. Iters per second: 160.858 + +For this example model, there is no much performance difference between the fused and non-fused models. But the similar steps can be used to fuse and prepare a real deep model and test to see the performance improvement. Keep in mind that currently `torch.quantization.fuse_modules` only fuses the following sequence of modules: + +* conv, bn +* conv, bn, relu +* conv, relu +* linear, relu +* bn, relu + +If any other sequence list is provided to the `fuse_modules` call, it will simply be ignored. + +Learn More +--------------- + +See `here `_ for the official documentation of `torch.quantization.fuse_modules`. diff --git a/recipes_source/model_preparation_android.rst b/recipes_source/model_preparation_android.rst new file mode 100644 index 00000000000..a2a7838ea03 --- /dev/null +++ b/recipes_source/model_preparation_android.rst @@ -0,0 +1,82 @@ +Model Preparation for Android Recipe +===================================== + +This recipe demonstrates how to prepare a PyTorch MobileNet v2 image classification model for Android apps, and how to set up Android projects to use the mobile-ready model file. + +Introduction +----------------- + +After a PyTorch model is trained or a pre-trained model is made available, it is normally not ready to be used in mobile apps yet. It needs to be quantized (see the `Quantization Recipe `_), converted to TorchScript so Android apps can load it, and optimized for mobile apps. Furthermore, Android apps need to be set up correctly to enable the use of PyTorch Mobile libraries, before they can load and use the model for inference. + +Pre-requisites +----------------- + +PyTorch 1.6.0 or 1.7.0 + +torchvision 0.6.0 or 0.7.0 + +Android Studio 3.5.1 or above with NDK installed + +Steps +----------------- + +1. Get Pretrained and Quantized MobileNet v2 Model +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +To get the MobileNet v2 quantized model, simply do: + +:: + + import torchvision + + model_quantized = torchvision.models.quantization.mobilenet_v2(pretrained=True, quantize=True) + +2. Script and Optimize the Model for Mobile Apps +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +Use either the `script` or `trace` method to convert the quantized model to the TorchScript format: + +:: + + import torch + + dummy_input = torch.rand(1, 3, 224, 224) + torchscript_model = torch.jit.trace(model_quantized, dummy_input) + +or + +:: + + torchscript_model = torch.jit.script(model_quantized) + + +Then optimize the TorchScript formatted model for mobile and save it: + +:: + + from torch.utils.mobile_optimizer import optimize_for_mobile + torchscript_model_optimized = optimize_for_mobile(torchscript_model) + torch.jit.save(torchscript_model_optimized, "mobilenetv2_quantized.pt") + +With the total 7 or 8 (depending on if the `script` or `trace` method is called to get the TorchScript format of the model) lines of code in the two steps above, we have a model ready to be added to mobile apps. + +3. Add the Model and PyTorch Library on Android +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +* In your current or a new Android Studio project, open the build.gradle file, and add the following two lines (the second one is required only if you plan to use a TorchVision model): + +:: + + implementation 'org.pytorch:pytorch_android:1.6.0' + implementation 'org.pytorch:pytorch_android_torchvision:1.6.0' + +* Drag and drop the model file `mobilenetv2_quantized.pt` to your project's assets folder. + +That's it! Now you can build your Android app with the PyTorch library and the model ready to use. To actually write code to use the model, refer to the PyTorch Mobile `Android Quickstart with a HelloWorld Example `_ and `Android Hackathon Example `_. + +Learn More +----------------- + +1. `PyTorch Mobile site `_ + +2. `Introduction to TorchScript `_ diff --git a/recipes_source/model_preparation_ios.rst b/recipes_source/model_preparation_ios.rst new file mode 100644 index 00000000000..759237d1f9a --- /dev/null +++ b/recipes_source/model_preparation_ios.rst @@ -0,0 +1,91 @@ +Model Preparation for iOS Recipe +===================================== + +This recipe demonstrates how to prepare a PyTorch MobileNet v2 image classification model for iOS apps, and how to set up an iOS project to use the mobile-ready model file. + +Introduction +----------------- + +After a PyTorch model is trained or a pre-trained model is made available, it is normally not ready to be used in mobile apps yet. It needs to be quantized (see `Quantization Recipe `_ for more details), converted to TorchScript so iOS apps can load it and optimized for mobile apps (see `Script and Optimize for Mobile Recipe `_). Furthermore, iOS apps need to be set up correctly to enable the use of PyTorch Mobile libraries, before they can load and use the model for inference. + +Pre-requisites +----------------- + +PyTorch 1.6.0 or 1.7.0 + +torchvision 0.6.0 or 0.7.0 + +Xcode 11 or 12 + +Steps +----------------- + +1. Get Pretrained and Quantized MobileNet v2 Model +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +To get the MobileNet v2 quantized model, simply do: + +:: + + import torchvision + + model_quantized = torchvision.models.quantization.mobilenet_v2(pretrained=True, quantize=True) + +2. Script and Optimize the Model for Mobile Apps +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +Use either the script or trace method to convert the quantized model to the TorchScript format: + +:: + + import torch + + dummy_input = torch.rand(1, 3, 224, 224) + torchscript_model = torch.jit.trace(model_quantized, dummy_input) + +or + +:: + + torchscript_model = torch.jit.script(model_quantized) + +Then optimize the TorchScript formatted model for mobile and save it: + +:: + + from torch.utils.mobile_optimizer import optimize_for_mobile + torchscript_model_optimized = optimize_for_mobile(torchscript_model) + torch.jit.save(torchscript_model_optimized, "mobilenetv2_quantized.pt") + +With the total 7 or 8 (depending on if the script or trace method is called to get the TorchScript format of the model) lines of code in the two steps above, we have a model ready to be added to mobile apps. + +3. Add the Model and PyTorch Library on iOS +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +To use the mobile-ready model `mobilenetv2_quantized.pt` in an iOS app, either create a new Xcode project or in your existing Xcode project, then follow the steps below: + +* Open a Mac Terminal, cd to your iOS app's project folder; + +* If your iOS app does not use Cocoapods yet, run `pod init` first to generate the `Podfile` file. + +* Edit `Podfile` either from Xcode or any editor, and add the following line under the target: + +:: + + pod 'LibTorch', '~>1.6.1' + +* Run `pod install` from the Terminal and then open your project's xcworkspace file; + +* Drag and drop the two files `TorchModule.h` and `TorchModule.mm` to your project. If your project is Swift based, a message box with the title "Would you like to configure an Objective-C bridging header?" will show up; click the "Create Bridging Header" button to create a Swift to Objective-c bridging header file, and add `#import "TorchModule.h"` to the header file `-Bridging-Header.h`; + +* Drag and drop the model file `mobilenetv2_quantized.pt` to the project. + +After these steps, you can successfully build and run your Xcode project. To actually write code to use the model, refer to the PyTorch Mobile `iOS Code Walkthrough `_ and two complete ready-to-run sample iOS apps `HelloWorld `_ and `iOS Hackathon Example `_. + + +Learn More +----------------- + +1. `PyTorch Mobile site `_ + +2. `Introduction to TorchScript `_ diff --git a/recipes_source/ptmobile_recipes_summary.rst b/recipes_source/ptmobile_recipes_summary.rst new file mode 100644 index 00000000000..cddee940f2a --- /dev/null +++ b/recipes_source/ptmobile_recipes_summary.rst @@ -0,0 +1,40 @@ +Summary of PyTorch Mobile Recipes +===================================== + +This summary provides a top level overview of recipes for PyTorch Mobile to help developers choose which recipes to follow for their PyTorch-powered mobile app development. + +Introduction +---------------- + +When a PyTorch model is trained or retrained, or when a pre-trained model is available, for mobile deployment, follow the the recipes outlined in this summary so mobile apps can successfully use the model. + +Pre-requisites +---------------- + +PyTorch 1.6.0 or 1.7.0 + +(Optional) torchvision 0.6.0 or 0.7.0 + +For iOS development: Xcode 11 or 12 + +For Android development: Android Studio 3.5.1 or above (with NDK installed); or Android SDK, NDK, Gradle, JDK. + +New Recipes for PyTorch Mobile +-------------------------------- + +* (Recommended) To fuse a list of PyTorch modules into a single module to reduce the model size before quantization, read the `Fuse Modules recipe `_. + +* (Recommended) To reduce the model size and make it run faster without losing much on accuracy, read the `Quantization Recipe `_. + +* (Must) To convert the model to TorchScipt and (optional) optimize it for mobile apps, read the `Script and Optimize for Mobile Recipe `_. + +* (Must for iOS development) To add the model in an iOS project and use PyTorch pod for iOS, read the `Model preparation for iOS Recipe `_. + +* (Must for Android development) To add the model in an Android project and use the PyTorch library for Android, read the `Model preparation for Android Recipe `_. + + +Learn More +----------------- + +1. `PyTorch Mobile site `_ +2. `PyTorch Mobile Performance Recipes `_ diff --git a/recipes_source/quantization.rst b/recipes_source/quantization.rst new file mode 100644 index 00000000000..7ab7a1b8736 --- /dev/null +++ b/recipes_source/quantization.rst @@ -0,0 +1,114 @@ +Quantization Recipe +===================================== + +This recipe demonstrates how to quantize a PyTorch model so it can be used on iOS and Android apps, or in other production . Follow the steps below on how to use four different methods to quantize different models. + +Introduction +------------ + +Quantization is a technique that converts 32-bit floating numbers in the model parameters to 8-bit integers. With quantization, the model size and memory footprint can be reduced to 1/4 of its original size, and the inference can be made about 2-4 times faster, while the accuracy stays about the same. + +There are overall three approaches or workflows to quantize a model: post training dynamic quantization, post training static quantization, and quantization aware training. But if the model you want to use already has a quantized version, you can use it directly without going through any of the three workflows above. For example, the `torchvision` library already includes quantized versions for models MobileNet v2, ResNet 18, ResNet 50, Inception v3, GoogleNet, among others. So we will make the last approach another workflow, albeit a simple one. + +Pre-requisites +----------------- + +PyTorch 1.6.0 or 1.7.0 + +torchvision 0.6.0 or 0.7.0 + +Workflows +------------ + +Use one of the four workflows below to quantize a model. + +1. Use Pretrained Quantized MobileNet v2 +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +To get the MobileNet v2 quantized model, simply do: + +:: + + import torchvision + model_quantized = torchvision.models.quantization.mobilenet_v2(pretrained=True, quantize=True) + + +To compare the size difference of a non-quantized MobileNet v2 model with its quantized version: + +:: + + model = torchvision.models.mobilenet_v2(pretrained=True) + + import os + import torch + + def print_model_size(mdl): + torch.save(mdl.state_dict(), "tmp.pt") + print("%.2f MB" %(os.path.getsize("tmp.pt")/1e6)) + os.remove('tmp.pt') + + print_model_size(model) + print_model_size(quantized_model) + + +The outputs will be: + +:: + + 14.27 MB + 3.63 MB + +2. Post Training Dynamic Quantization +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +To apply dynamic quantization, which converts all the weights in a model from 32-bit floating numbers to 8-bit integers but doesn't convert the activations to int8 till just before performing the computation on the activations, simply call `torch.quantization.quantize_dynamic`: + +:: + + model_dynamic_quantized = torch.quantization.quantize_dynamic( + model, qconfig_spec={torch.nn.Linear}, dtype=torch.qint8 + ) + +where `qconfig_spec` specifies the list of submodule names in `model` to apply quantization to. + +The full documentation of the `quantize_dynamic` API call is `here `_. Three other examples of using the post training dynamic quantization are `the Bert example `_, `an LSTM model example `_, and another `demo LSTM example `_. + +3. Post Training Static Quantization +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +This method converts both the weights and the activations to 8-bit integers beforehand so there won't be on-the-fly conversion on the activations during the inference, as the dynamic quantization does, hence improving the performance significantly. + +To apply static quantization which converts both the weights and the activations to 8-bit integers beforehand so there won't be on-the-fly conversion on the activations during the inference, run the following code: + +:: + + backend = "qnnpack" + model.qconfig = torch.quantization.get_default_qconfig(backend) + torch.backends.quantized.engine = backend + model_static_quantized = torch.quantization.prepare(model, inplace=False) + model_static_quantized = torch.quantization.convert(model_static_quantized, inplace=False) + +After this, running `print_size_of_model(model_static_quantized)` shows the static quantized model is `3.98MB`. + +Notice that to make the model run on mobile devices which normally have arm architecture, you need to use the 'qnnpack' for `backend`; to run the model on computer with x86 architecture, use `fbgemm`. + +4. Quantization Aware Training +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +To apply quantization aware training, which inserts fake quantization to all the weights and activations during the model training process, use the following code snippet: + +:: + + model.qconfig = torch.quantization.get_default_qat_qconfig(backend) + model_qat = torch.quantization.prepare_qat(model, inplace=False) + # quantization aware training goes here + model_qat = torch.quantization.convert(model_qat.eval(), inplace=False) + +After a quantized model is generated using one of the steps above, before the model can be used to run on mobile devices, it needs to be further converted to the `TorchScript` format and then optimized for mobile apps. See the `Script and Optimize for Mobile recipe `_ for details. + +For a complete example of the quantization aware training, read this `tutorial `_. + +Learn More +----------------- + +For more info on the different workflows of quantization, see `here `_ and `here `_. diff --git a/recipes_source/script_optimized.rst b/recipes_source/script_optimized.rst index 6a56ee2bd95..7e0f284241f 100644 --- a/recipes_source/script_optimized.rst +++ b/recipes_source/script_optimized.rst @@ -6,7 +6,7 @@ This recipe demonstrates how to convert a PyTorch model to TorchScript which can Introduction ------------ -After a PyTorch model is trained and optionally but preferably quantized (see the Quantization for Mobile Apps Recipe), one essential step before the model can be used in iOS and Android apps is to convert the Python-dependent model to TorchScript, which can then further be optimized for mobile apps. Conversion to TorchScript can be as simple as a single call, or as complicated as changing the original model in many different places. +After a PyTorch model is trained and optionally but preferably quantized (see `Quantization Recipe `_ for more details), one essential step before the model can be used in iOS and Android apps is to convert the Python-dependent model to TorchScript, which can then further be optimized for mobile apps. Conversion to TorchScript can be as simple as a single call, or as complicated as changing the original model in many different places. Pre-requisites -------------- @@ -56,10 +56,11 @@ But if a model has some flow control, then `trace` won't correctly record all th print(traced_cell.code) The code above will output: -TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! :: + TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can''t record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! + if x.sum() > 0: def forward(self, input: Tensor, @@ -71,7 +72,7 @@ TracerWarning: Converting a tensor to a Python boolean might cause the trace to return (_3, _3) -It is important to notice that "the trace might not generalize to other inputs" warning above means that if the model has any kind of data-dependent control flow, `trace` is not the right answer. But if we replace the last two lines of the Python code above with: +Note that "the trace might not generalize to other inputs" warning above means that if the model has any kind of data-dependent control flow, `trace` is not the right answer. But if we replace the last two lines of the Python code snippet above (before the code output) with: :: @@ -92,7 +93,7 @@ The output will be covering all possible inputs, thus generalizing to other inpu return _1 -This is another example of using `trace` and `script` - it converts the model trained in the PyTorch [neural machine translation tutorial](): +This is another example of using `trace` and `script` - it converts the model trained in the PyTorch tutorial `NLP FROM SCRATCH: TRANSLATION WITH A SEQUENCE TO SEQUENCE NETWORK AND ATTENTION `_: :: @@ -116,15 +117,18 @@ This is another example of using `trace` and `script` - it converts the model tr scripted_encoder = torch.jit.script(encoder) scripted_decoder = torch.jit.script(decoder) -So is it true that one can simply always use the `script` call and the model is converted to TorchScript? The answer is no, because TorchScript is actually a subset of Python and to make `script` work, the PyTorch model definition must only use the language features of that TorchScript subset of Python. `TorchScript Language Reference `_ covers all the details of what is supported in TorchScript. +So is it true that one can simply always use the `script` call and the model is converted to TorchScript? The answer is no, because TorchScript is actually a subset of Python and to make `script` work, the PyTorch model definition must only use the language features of that TorchScript subset of Python. `TorchScript Language Reference `_ covers all the details of what is supported in TorchScript. Below we will describe some of the common errors when using the `script` method. -Fix Errors with the `script` Method ---------------------------------------------- +Fix Common Errors When Using the `script` Method +---------------------------------------------------- If you apply the `script` method to a non-trivial model, chances are you may encounter several types of errors. Check out `this tutorial `_ for a complete example of converting a chatbot model to TorchScript. But follow the steps below to fix common errors when you run the `script` method: -1. For RuntimeError `attribute lookup is not defined on python value of type` (of a model), pass the value of the model as a parameter in the constructor. This is because when calling `script` on a model that accepts another model as a parameter, the model passed is actually of type `TracedModule` or `ScriptModule`, not of type `Module`, making the the model attribute not defined when scripting. +1. RuntimeError `attribute lookup is not defined on python value of type` +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +For this error, pass the value of the model as a parameter in the constructor. This is because when calling `script` on a model that accepts another model as a parameter, the model passed is actually of type `TracedModule` or `ScriptModule`, not of type `Module`, making the the model attribute not defined when scripting. For example, the `LuongAttnDecoderRNN` module in the tutorial above has an attribute `n_layers`, and the `GreedySearchDecoder` module refers to the `n_layers` attribute of a `decoder` instance of the `LuongAttnDecoderRNN` module, so in order to make `script` work, the `GreedySearchDecoder` module's constructor needs to be changed from: @@ -143,7 +147,10 @@ to: and the `GreedySearchDecoder`'s `forward` method needs to refer `self._decoder_n_layers` instead of `decoder.n_layers`. -2. For RuntimeError `python value of type '...' cannot be used as a value. Perhaps it is a closed over global variable? If so, please consider passing it in as an argument or use a local variable instead.`, store global variables' values as attributes in the model constructor (there's no need to add them to a special list called `__constants__`). The reason is that global values can be used conveniently in normal model training and inference, but the global values are not accessible during the scripting. +2. RuntimeError `python value of type '...' cannot be used as a value.` +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +The complete error message for this one continues with `Perhaps it is a closed over global variable? If so, please consider passing it in as an argument or use a local variable instead.`, store global variables' values as attributes in the model constructor (there's no need to add them to a special list called `__constants__`). The reason is that global values can be used conveniently in normal model training and inference, but the global values are not accessible during the scripting. For example, `device` and `SOS_token` are global variables, and to make `script` work, they need to be added to the `GreedySearchDecoder`'s constructor: @@ -154,7 +161,10 @@ For example, `device` and `SOS_token` are global variables, and to make `script` and referred to as `self._device` and `self._SOS_token` instead of `device` and `SOS_token` in the `GreedySearchDecoder`'s `forward` method. -3. For RuntimeError `RuntimeError: all inputs of range must be '...', found Tensor (inferred) in argument`, add type definitions for each of the module's forward method arguments. Because all parameters to a TorchScript function are of the `torch.Tensor` type by default, you need to specifically declare the type for each parameter that is not of type 'Tensor'. For a complete list of TorchScript-supported types, see `here `_. +3. RuntimeError `all inputs of range must be '...', found Tensor (inferred) in argument` +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +The error message continues with: `add type definitions for each of the module's forward method arguments. Because all parameters to a TorchScript function are of the `torch.Tensor` type by default, you need to specifically declare the type for each parameter that is not of type 'Tensor'. For a complete list of TorchScript-supported types, see `here `_. For example, the `GreedySearchDecoder`'s `forward` method signature needs to be changed from: @@ -171,7 +181,6 @@ to: After using the `trace` or `script` method above, and fixing possible errors, you should have a TorchScript model ready to be optimized for mobile. - Optimize a TorchScript Model -------------------------------------- From 1c047cc9cae73212cd38a3f42a037c29b9a17dc9 Mon Sep 17 00:00:00 2001 From: Jeff Tang Date: Wed, 21 Oct 2020 09:41:08 -0700 Subject: [PATCH 03/18] updated recipes_index.rst --- recipes_source/recipes_index.rst | 48 +++++++++++++++++++++++++++++++- 1 file changed, 47 insertions(+), 1 deletion(-) diff --git a/recipes_source/recipes_index.rst b/recipes_source/recipes_index.rst index 3a05d729b67..79ef395c7f1 100644 --- a/recipes_source/recipes_index.rst +++ b/recipes_source/recipes_index.rst @@ -166,7 +166,42 @@ Recipes are bite-sized, actionable examples of how to use specific PyTorch featu :image: ../_static/img/thumbnails/cropped/android.png :link: ../recipes/android_native_app_with_custom_op.html :tags: Mobile - + +.. customcarditem:: + :header: Fuse Modules recipe + :card_description: Learn how to fuse a list of PyTorch modules into a single module to reduce the model size before quantization. + :image: ../_static/img/thumbnails/cropped/mobile.png + :link: ../recipes/fuse.html + :tags: Mobile + +.. customcarditem:: + :header: Quantization for Mobile Recipe + :card_description: Learn how to reduce the model size and make it run faster without losing much on accuracy. + :image: ../_static/img/thumbnails/cropped/mobile.png + :link: ../recipes/quantization.html + :tags: Mobile,Quantization + +.. customcarditem:: + :header: Script and Optimize for Mobile + :card_description: Learn how to convert the model to TorchScipt and (optional) optimize it for mobile apps. + :image: ../_static/img/thumbnails/cropped/mobile.png + :link: ../recipes/script_optimized.html + :tags: Mobile + +.. customcarditem:: + :header: Model Preparation for iOS Recipe + :card_description: Learn how to add the model in an iOS project and use PyTorch pod for iOS. + :image: ../_static/img/thumbnails/cropped/mobile.png + :link: ../recipes/model_preparation_ios.html + :tags: Mobile + +.. customcarditem:: + :header: Model Preparation for Android Recipe + :card_description: Learn how to add the model in an Android project and use the PyTorch library for Android. + :image: ../_static/img/thumbnails/cropped/android.png + :link: ../recipes/model_preparation_android.html + :tags: Mobile + .. customcarditem:: :header: Profiling PyTorch RPC-Based Workloads :card_description: How to use the PyTorch profiler to profile RPC-based workloads. @@ -183,6 +218,15 @@ Recipes are bite-sized, actionable examples of how to use specific PyTorch featu :link: ../recipes/recipes/amp_recipe.html :tags: Model-Optimization +.. Performance + +.. customcarditem:: + :header: Performance Tuning Guide + :card_description: Tips for achieving optimal performance. + :image: ../_static/img/thumbnails/cropped/profiler.png + :link: ../recipes/recipes/tuning_guide.html + :tags: Model-Optimization + .. End of tutorial card section .. raw:: html @@ -216,6 +260,8 @@ Recipes are bite-sized, actionable examples of how to use specific PyTorch featu /recipes/recipes/tensorboard_with_pytorch /recipes/recipes/dynamic_quantization /recipes/recipes/amp_recipe + /recipes/recipes/tuning_guide /recipes/torchscript_inference /recipes/deployment_with_flask /recipes/distributed_rpc_profiling + /recipes/distributed_rpc_profiling From d4f3261d3adddd51afae3cfe667386ef56b7a11b Mon Sep 17 00:00:00 2001 From: Jeff Tang Date: Wed, 21 Oct 2020 09:46:05 -0700 Subject: [PATCH 04/18] thumbnail png fix for ios recipe in recipes_index.rst --- recipes_source/recipes_index.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/recipes_source/recipes_index.rst b/recipes_source/recipes_index.rst index 79ef395c7f1..618929d1130 100644 --- a/recipes_source/recipes_index.rst +++ b/recipes_source/recipes_index.rst @@ -191,7 +191,7 @@ Recipes are bite-sized, actionable examples of how to use specific PyTorch featu .. customcarditem:: :header: Model Preparation for iOS Recipe :card_description: Learn how to add the model in an iOS project and use PyTorch pod for iOS. - :image: ../_static/img/thumbnails/cropped/mobile.png + :image: ../_static/img/thumbnails/cropped/ios.png :link: ../recipes/model_preparation_ios.html :tags: Mobile From a6fb9d0b51a2c0a5ddb328eed759861b4e0e56e4 Mon Sep 17 00:00:00 2001 From: Jeff Tang Date: Fri, 23 Oct 2020 18:10:45 -0700 Subject: [PATCH 05/18] edits based on feedback --- recipes_source/fuse.rst | 12 ++++---- recipes_source/model_preparation_android.rst | 3 ++ recipes_source/model_preparation_ios.rst | 4 +++ recipes_source/quantization.rst | 31 ++++++++++++++++---- recipes_source/script_optimized.rst | 16 +++++++++- 5 files changed, 53 insertions(+), 13 deletions(-) diff --git a/recipes_source/fuse.rst b/recipes_source/fuse.rst index 97ae0df736f..b465042628d 100644 --- a/recipes_source/fuse.rst +++ b/recipes_source/fuse.rst @@ -57,8 +57,6 @@ Add the following code below the model definition above and run the script: model = AnnotatedConvBnReLUModel() - print(model) - def prepare_save(model, fused): model.qconfig = torch.quantization.get_default_qconfig('qnnpack') torch.quantization.prepare(model, inplace=True) @@ -68,14 +66,16 @@ Add the following code below the model definition above and run the script: torch.jit.save(torchscript_model_optimized, "model.pt" if not fused else "model_fused.pt") prepare_save(model, False) - - model = AnnotatedConvBnReLUModel() model_fused = torch.quantization.fuse_modules(model, [['bn', 'relu']], inplace=False) - print(model_fused) prepare_save(model_fused, True) + print(model) + print(model_fused) + + + -The outputs of the original model and its fused version will be: +The graphs of the original model and its fused version will be printed as follows: :: diff --git a/recipes_source/model_preparation_android.rst b/recipes_source/model_preparation_android.rst index a2a7838ea03..55ef7d9735c 100644 --- a/recipes_source/model_preparation_android.rst +++ b/recipes_source/model_preparation_android.rst @@ -50,6 +50,9 @@ or torchscript_model = torch.jit.script(model_quantized) +.. warning:: + The `trace` method only scripts the code path executed during the trace, so it will not work properly for models that include decision branches. See the `Script and Optimize for Mobile Recipe `_ for more details. + Then optimize the TorchScript formatted model for mobile and save it: :: diff --git a/recipes_source/model_preparation_ios.rst b/recipes_source/model_preparation_ios.rst index 759237d1f9a..4e01e0d48bd 100644 --- a/recipes_source/model_preparation_ios.rst +++ b/recipes_source/model_preparation_ios.rst @@ -49,6 +49,10 @@ or torchscript_model = torch.jit.script(model_quantized) +.. warning:: + The `trace` method only scripts the code path executed during the trace, so it will not work properly for models that include decision branches. See the `Script and Optimize for Mobile Recipe `_ for more details. + + Then optimize the TorchScript formatted model for mobile and save it: :: diff --git a/recipes_source/quantization.rst b/recipes_source/quantization.rst index 7ab7a1b8736..d3a7b12c85a 100644 --- a/recipes_source/quantization.rst +++ b/recipes_source/quantization.rst @@ -1,7 +1,7 @@ Quantization Recipe ===================================== -This recipe demonstrates how to quantize a PyTorch model so it can be used on iOS and Android apps, or in other production . Follow the steps below on how to use four different methods to quantize different models. +This recipe demonstrates how to quantize a PyTorch model so it can run with reduced size and faster inference speed with about the same accuracy as the original model. Quantization can be applied to both server and mobile model deployment, but it can be especially important or even critical on mobile, because a non-quantized model's size may exceed the limit that an iOS or Android app allows for, cause the deployment or OTA update to take too much time, and make the inference too slow for a good user experience. Introduction ------------ @@ -10,6 +10,9 @@ Quantization is a technique that converts 32-bit floating numbers in the model p There are overall three approaches or workflows to quantize a model: post training dynamic quantization, post training static quantization, and quantization aware training. But if the model you want to use already has a quantized version, you can use it directly without going through any of the three workflows above. For example, the `torchvision` library already includes quantized versions for models MobileNet v2, ResNet 18, ResNet 50, Inception v3, GoogleNet, among others. So we will make the last approach another workflow, albeit a simple one. +.. note:: + The quantization support is available for a limited set of operators. See `this `_ for more information. + Pre-requisites ----------------- @@ -78,7 +81,7 @@ The full documentation of the `quantize_dynamic` API call is `here `_. A dedicated static quantization tutorial is `here `_. + +.. note:: + To make the model run on mobile devices which normally have arm architecture, you need to use `qnnpack` for `backend`; to run the model on computer with x86 architecture, use `fbgemm`. 4. Quantization Aware Training ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -To apply quantization aware training, which inserts fake quantization to all the weights and activations during the model training process, use the following code snippet: +Quantization aware training inserts fake quantization to all the weights and activations during the model training process and results in higher inference accuracy than the post-training quantization methods. It is typically used in CNN models. + +To enable a model for quantization aware traing, define in the `__init__` method of the model definition a `QuantStub` and a `DeQuantStub` to convert tensors from floating point to quantized type and vice versa: + +:: + + self.quant = torch.quantization.QuantStub() + self.dequant = torch.quantization.DeQuantStub() + +Then in the beginning and the end of the `forward` method of the model definition, call `x = self.quant(x)` and `x = self.dequant(x)`. + +To do a quantization aware training, use the following code snippet: :: @@ -104,9 +121,11 @@ To apply quantization aware training, which inserts fake quantization to all the # quantization aware training goes here model_qat = torch.quantization.convert(model_qat.eval(), inplace=False) -After a quantized model is generated using one of the steps above, before the model can be used to run on mobile devices, it needs to be further converted to the `TorchScript` format and then optimized for mobile apps. See the `Script and Optimize for Mobile recipe `_ for details. +For more detailed examples of the quantization aware training, see `here `_ and `here `_. -For a complete example of the quantization aware training, read this `tutorial `_. +A pre-trained quantized model can also be used for quantized aware transfer learning, using the same `quant` and `dequant` calls shown above. See `here `_ for a complete example. + +After a quantized model is generated using one of the steps above, before the model can be used to run on mobile devices, it needs to be further converted to the `TorchScript` format and then optimized for mobile apps. See the `Script and Optimize for Mobile recipe `_ for details. Learn More ----------------- diff --git a/recipes_source/script_optimized.rst b/recipes_source/script_optimized.rst index 7e0f284241f..6dfb8e18001 100644 --- a/recipes_source/script_optimized.rst +++ b/recipes_source/script_optimized.rst @@ -197,4 +197,18 @@ The optimized model can then be saved and deployed in mobile apps: optimized_torchscript_model.save("optimized_torchscript_model.pth") -For more details on what `optimize_for_mobile` does behind the scene, see `here `_. +By default, `optimize_for_mobile` will perform the following types of optimizations: + +* Conv2D and BatchNorm fusion which folds Conv2d-BatchNorm2d into Conv2d; + +* Insert and fold prepacked ops which rewrites the model graph to replace 2D convolutions and linear ops with their prepacked counterparts. + +* ReLU and hardtanh fusion which rewrites graph by finding ReLU/hardtanh ops and fuses them together. + +* Dropout removal which removes dropout nodes from this module when training is false. + + +Learn More +----------------- +1. The official `TorchScript Language Reference `_. +2. The `torch.utils.mobile_optimizer` `API documentation `_. From 37c631dfa6180d8569c680136dced6df91d861fe Mon Sep 17 00:00:00 2001 From: Jeff Tang Date: Tue, 27 Oct 2020 15:10:16 -0700 Subject: [PATCH 06/18] recipes code and typo fix on 1.7 --- recipes_source/fuse.rst | 8 ++++---- recipes_source/quantization.rst | 4 ++-- recipes_source/script_optimized.rst | 15 ++++++--------- 3 files changed, 12 insertions(+), 15 deletions(-) diff --git a/recipes_source/fuse.rst b/recipes_source/fuse.rst index b465042628d..e4dfa36bc96 100644 --- a/recipes_source/fuse.rst +++ b/recipes_source/fuse.rst @@ -56,6 +56,7 @@ Add the following code below the model definition above and run the script: :: model = AnnotatedConvBnReLUModel() + print(model) def prepare_save(model, fused): model.qconfig = torch.quantization.get_default_qconfig('qnnpack') @@ -66,13 +67,12 @@ Add the following code below the model definition above and run the script: torch.jit.save(torchscript_model_optimized, "model.pt" if not fused else "model_fused.pt") prepare_save(model, False) - model_fused = torch.quantization.fuse_modules(model, [['bn', 'relu']], inplace=False) - prepare_save(model_fused, True) - print(model) + model = AnnotatedConvBnReLUModel() + model_fused = torch.quantization.fuse_modules(model, [['bn', 'relu']], inplace=False) print(model_fused) - + prepare_save(model_fused, True) The graphs of the original model and its fused version will be printed as follows: diff --git a/recipes_source/quantization.rst b/recipes_source/quantization.rst index d3a7b12c85a..bd67a0a80e0 100644 --- a/recipes_source/quantization.rst +++ b/recipes_source/quantization.rst @@ -51,7 +51,7 @@ To compare the size difference of a non-quantized MobileNet v2 model with its qu os.remove('tmp.pt') print_model_size(model) - print_model_size(quantized_model) + print_model_size(model_quantized) The outputs will be: @@ -91,7 +91,7 @@ To apply static quantization on a model, run the following code: model_static_quantized = torch.quantization.prepare(model, inplace=False) model_static_quantized = torch.quantization.convert(model_static_quantized, inplace=False) -After this, running `print_size_of_model(model_static_quantized)` shows the static quantized model is `3.98MB`. +After this, running `print_model_size(model_static_quantized)` shows the static quantized model is `3.98MB`. A complete model definition and static quantization example is `here `_. A dedicated static quantization tutorial is `here `_. diff --git a/recipes_source/script_optimized.rst b/recipes_source/script_optimized.rst index 6dfb8e18001..e1c0f19ad13 100644 --- a/recipes_source/script_optimized.rst +++ b/recipes_source/script_optimized.rst @@ -44,6 +44,8 @@ But if a model has some flow control, then `trace` won't correctly record all th :: + import torch + class MyDecisionGate(torch.nn.Module): def forward(self, x): if x.sum() > 0: @@ -62,14 +64,9 @@ The code above will output: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can''t record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! if x.sum() > 0: - def forward(self, - input: Tensor, - h: Tensor) -> Tuple[Tensor, Tensor]: - _0 = self.dg - _1 = (self.linear).forward(input, ) - _2 = (_0).forward(_1, ) - _3 = torch.tanh(torch.add(_1, h, alpha=1)) - return (_3, _3) + def forward(self, + x: Tensor) -> Tensor: + return x Note that "the trace might not generalize to other inputs" warning above means that if the model has any kind of data-dependent control flow, `trace` is not the right answer. But if we replace the last two lines of the Python code snippet above (before the code output) with: @@ -79,7 +76,7 @@ Note that "the trace might not generalize to other inputs" warning above means t scripted_cell = torch.jit.script(MyDecisionGate()) print(scripted_cell.code) -The output will be covering all possible inputs, thus generalizing to other inputs: +The scripted model as shown by the `print` result below will be covering all possible inputs, thus generalizing to other inputs: :: From c137f917c0c4aa7179927de9c0686f20a8d3013f Mon Sep 17 00:00:00 2001 From: Jeff Tang Date: Tue, 27 Oct 2020 15:23:34 -0700 Subject: [PATCH 07/18] merge from master --- recipes_source/fuse.rst | 13 ------------- 1 file changed, 13 deletions(-) diff --git a/recipes_source/fuse.rst b/recipes_source/fuse.rst index b8d2653c3ea..e4dfa36bc96 100644 --- a/recipes_source/fuse.rst +++ b/recipes_source/fuse.rst @@ -56,10 +56,7 @@ Add the following code below the model definition above and run the script: :: model = AnnotatedConvBnReLUModel() -<<<<<<< HEAD print(model) -======= ->>>>>>> master def prepare_save(model, fused): model.qconfig = torch.quantization.get_default_qconfig('qnnpack') @@ -70,22 +67,12 @@ Add the following code below the model definition above and run the script: torch.jit.save(torchscript_model_optimized, "model.pt" if not fused else "model_fused.pt") prepare_save(model, False) -<<<<<<< HEAD model = AnnotatedConvBnReLUModel() model_fused = torch.quantization.fuse_modules(model, [['bn', 'relu']], inplace=False) print(model_fused) prepare_save(model_fused, True) -======= - model_fused = torch.quantization.fuse_modules(model, [['bn', 'relu']], inplace=False) - prepare_save(model_fused, True) - - print(model) - print(model_fused) - - ->>>>>>> master The graphs of the original model and its fused version will be printed as follows: From bdd88cf21ea5e8ed3016d7e84f76574a8f09cc72 Mon Sep 17 00:00:00 2001 From: Jeff Tang Date: Tue, 27 Oct 2020 15:57:07 -0700 Subject: [PATCH 08/18] fixed merge errors --- recipes_source/quantization.rst | 10 +--------- recipes_source/script_optimized.rst | 18 ------------------ 2 files changed, 1 insertion(+), 27 deletions(-) diff --git a/recipes_source/quantization.rst b/recipes_source/quantization.rst index dfd8e98bf16..762c6ea2d9a 100644 --- a/recipes_source/quantization.rst +++ b/recipes_source/quantization.rst @@ -26,7 +26,7 @@ Workflows Use one of the four workflows below to quantize a model. 1. Use Pretrained Quantized MobileNet v2 -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ To get the MobileNet v2 quantized model, simply do: @@ -51,11 +51,7 @@ To compare the size difference of a non-quantized MobileNet v2 model with its qu os.remove('tmp.pt') print_model_size(model) -<<<<<<< HEAD print_model_size(model_quantized) -======= - print_model_size(quantized_model) ->>>>>>> master The outputs will be: @@ -95,11 +91,7 @@ To apply static quantization on a model, run the following code: model_static_quantized = torch.quantization.prepare(model, inplace=False) model_static_quantized = torch.quantization.convert(model_static_quantized, inplace=False) -<<<<<<< HEAD After this, running `print_model_size(model_static_quantized)` shows the static quantized model is `3.98MB`. -======= -After this, running `print_size_of_model(model_static_quantized)` shows the static quantized model is `3.98MB`. ->>>>>>> master A complete model definition and static quantization example is `here `_. A dedicated static quantization tutorial is `here `_. diff --git a/recipes_source/script_optimized.rst b/recipes_source/script_optimized.rst index 5bda1708e3c..e1c0f19ad13 100644 --- a/recipes_source/script_optimized.rst +++ b/recipes_source/script_optimized.rst @@ -44,11 +44,8 @@ But if a model has some flow control, then `trace` won't correctly record all th :: -<<<<<<< HEAD import torch -======= ->>>>>>> master class MyDecisionGate(torch.nn.Module): def forward(self, x): if x.sum() > 0: @@ -67,20 +64,9 @@ The code above will output: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can''t record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! if x.sum() > 0: -<<<<<<< HEAD def forward(self, x: Tensor) -> Tensor: return x -======= - def forward(self, - input: Tensor, - h: Tensor) -> Tuple[Tensor, Tensor]: - _0 = self.dg - _1 = (self.linear).forward(input, ) - _2 = (_0).forward(_1, ) - _3 = torch.tanh(torch.add(_1, h, alpha=1)) - return (_3, _3) ->>>>>>> master Note that "the trace might not generalize to other inputs" warning above means that if the model has any kind of data-dependent control flow, `trace` is not the right answer. But if we replace the last two lines of the Python code snippet above (before the code output) with: @@ -90,11 +76,7 @@ Note that "the trace might not generalize to other inputs" warning above means t scripted_cell = torch.jit.script(MyDecisionGate()) print(scripted_cell.code) -<<<<<<< HEAD The scripted model as shown by the `print` result below will be covering all possible inputs, thus generalizing to other inputs: -======= -The output will be covering all possible inputs, thus generalizing to other inputs: ->>>>>>> master :: From 6a9e02a5cfa99e5069621f9765876fbe40a3c003 Mon Sep 17 00:00:00 2001 From: Jeff Tang Date: Wed, 28 Oct 2020 16:09:37 -0700 Subject: [PATCH 09/18] added limitation warning for dynamic quantization --- recipes_source/quantization.rst | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/recipes_source/quantization.rst b/recipes_source/quantization.rst index 762c6ea2d9a..0d1a5f356a2 100644 --- a/recipes_source/quantization.rst +++ b/recipes_source/quantization.rst @@ -64,7 +64,7 @@ The outputs will be: 2. Post Training Dynamic Quantization ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -To apply dynamic quantization, which converts all the weights in a model from 32-bit floating numbers to 8-bit integers but doesn't convert the activations to int8 till just before performing the computation on the activations, simply call `torch.quantization.quantize_dynamic`: +To apply Dynamic Quantization, which converts all the weights in a model from 32-bit floating numbers to 8-bit integers but doesn't convert the activations to int8 till just before performing the computation on the activations, simply call `torch.quantization.quantize_dynamic`: :: @@ -74,6 +74,8 @@ To apply dynamic quantization, which converts all the weights in a model from 32 where `qconfig_spec` specifies the list of submodule names in `model` to apply quantization to. +.. warning:: An important limitation of Dynamic Quantization, while it is the easiest workflow if you do not have a pre-trained quantized model ready for use, is that it currently only supports `nn.Linear` and `nn.LSTM` in `qconfig_spec`, meaning that you will have to use Static Quantization or Quantization Aware Training, to be discussed later, to quantize other modules such as `nn.Conv2d`. + The full documentation of the `quantize_dynamic` API call is `here `_. Three other examples of using the post training dynamic quantization are `the Bert example `_, `an LSTM model example `_, and another `demo LSTM example `_. 3. Post Training Static Quantization From 69ac27fd76349d3a864a84520c2b9a8500a6de7e Mon Sep 17 00:00:00 2001 From: Jeff Tang Date: Thu, 29 Oct 2020 14:58:26 -0700 Subject: [PATCH 10/18] link fix for quantization and model prep for ios recipes --- recipes_source/model_preparation_ios.rst | 2 +- recipes_source/quantization.rst | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/recipes_source/model_preparation_ios.rst b/recipes_source/model_preparation_ios.rst index 4e01e0d48bd..2fbacd7fa68 100644 --- a/recipes_source/model_preparation_ios.rst +++ b/recipes_source/model_preparation_ios.rst @@ -80,7 +80,7 @@ To use the mobile-ready model `mobilenetv2_quantized.pt` in an iOS app, either c * Run `pod install` from the Terminal and then open your project's xcworkspace file; -* Drag and drop the two files `TorchModule.h` and `TorchModule.mm` to your project. If your project is Swift based, a message box with the title "Would you like to configure an Objective-C bridging header?" will show up; click the "Create Bridging Header" button to create a Swift to Objective-c bridging header file, and add `#import "TorchModule.h"` to the header file `-Bridging-Header.h`; +* Save the two files `TorchModule.h` and `TorchModule.mm` from `here `_ and drag and drop them to your project. If your project is Swift based, a message box with the title "Would you like to configure an Objective-C bridging header?" will show up; click the "Create Bridging Header" button to create a Swift to Objective-c bridging header file, and add `#import "TorchModule.h"` to the header file `-Bridging-Header.h`; * Drag and drop the model file `mobilenetv2_quantized.pt` to the project. diff --git a/recipes_source/quantization.rst b/recipes_source/quantization.rst index 0d1a5f356a2..7c04fbdb0b7 100644 --- a/recipes_source/quantization.rst +++ b/recipes_source/quantization.rst @@ -95,7 +95,7 @@ To apply static quantization on a model, run the following code: After this, running `print_model_size(model_static_quantized)` shows the static quantized model is `3.98MB`. -A complete model definition and static quantization example is `here `_. A dedicated static quantization tutorial is `here `_. +A complete model definition and static quantization example is `here `_. A dedicated static quantization tutorial is `here `_. .. note:: To make the model run on mobile devices which normally have arm architecture, you need to use `qnnpack` for `backend`; to run the model on computer with x86 architecture, use `fbgemm`. 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The PyTorch semantic image segmentation `DeepLabV3 model `_ can be used to label image regions with `20 semantic classes `_ including, for example, bicycle, bus, car, dog, and person. It is evident that image segmentation models can be very useful in applications such as autonomous driving and scene understanding. + +In this tutorial, we will provide a step-by-step guide on how to prepare and run the PyTorch DeepLabV3 model on iOS, taking you from the beginning of having a model you may want to use on iOS to the end of having a complete iOS app using the model. We will also cover practical and general tips on how to check if your next favorable pre-trained PyTorch models can run on iOS, and what pitfalls need to be watched out and avoided. + +.. note:: Before going through this tutorial, you should give `PyTorch Mobile for iOS `_ and its `HelloWorld `_ sample app a quick try. This tutorial will go beyond the image classification model, usually the first kind of models deployed on mobile. The complete code repo for this tutorial is available `here `_. + +Learning Objectives +------------------- + +In this tutorial, we will learn how to: + +1. Convert the DeepLabV3 model for iOS deployment; + +2. Get example input and output of the model in Python so later in the iOS app we can prepare the right input for the model and process the model output; + +3. Build an iOS Swift app from scratch and add the PyTorch iOS Objective-C template files and code needed for running the model for inference; + +4. Prepare the model input that can be accepted by the model and process the model output, which, depends on the model architecture, can be a single tensor, a tuple of tensors, or a dictionary of string and tensor, among others. + +5. Complete the UI, refactor, build and run the app to see image segmentation in action. + +Pre-requisites +--------------- + +* PyTorch 1.6 or 1.7 + +* torchvision 0.7 or 0.8 + +* Xcode 11 or 12 + +Steps +--------- + + +1. Convert the DeepLabV3 model for iOS deployment +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +The first step after you have a model that you'd like to deploy on iOS is to convert the model to the TorchScript format. + +.. note:: + Not all PyTorch models can be converted for iOS deployment at this time, because a model definition may use the language features not in TorchScript, a subset of Python. See the `Script and Optimize Recipe <../recipes/script_optimized.html>`_ for more details. + +Simply run the script below to generate the scripted model `deeplabv3_scripted.pt`: + +:: + + import torch + + # use deeplabv3_resnet50 instead of deeplabv3_resnet101 to reduce the model size + model = torch.hub.load('pytorch/vision:v0.8.0', 'deeplabv3_resnet50', pretrained=True) + model.eval() + + scriptedm = torch.jit.script(model) + torch.jit.save(scriptedm, "deeplabv3_scripted.pt") + +.. warning:: + Ideally, a model should also be quantized for significant size reduction and faster inference before being deployed on an iOS app. But not all models can be successfully quantized at the time of the writing as quantization is still in beta. To have a general understanding of quantization, see the `Quantization Recipe <../recipes/quantization.html>`_ and the resource links in the recipe. We will cover in detail how to correctly apply a quantization workflow called Post Training `Static Quantization `_ to the DeepLabV3 model in a future tutorial or recipe. + +2. Get example input and output of the model in Python +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +After you have a scripted PyTorch model, you need to test with some example input to make sure it works correctly on iOS. To do that, we first need to write or reuse some Python script that uses the model to make inference on an input and generate an output. In the case of DeepLabV3, we can reuse most of the code in the model hub page above. Add the following code to the code above: + +:: + + from PIL import Image + from torchvision import transforms + input_image = Image.open("deeplab.jpg") + preprocess = transforms.Compose([ + transforms.ToTensor(), + transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]), + ]) + + input_tensor = preprocess(input_image) + input_batch = input_tensor.unsqueeze(0) + with torch.no_grad(): + rslt = model(input_batch) + output = rslt['out'][0] + + print(input_batch.shape) + print(output.shape) + +Download `deeplab.jpg` from `here `_, then run the script above and you will see the shapes of the input and output of the model: + +:: + + torch.Size([1, 3, 800, 800]) + torch.Size([21, 800, 800]) + +So you will have to provide an input of the exact shape [1, 3, 800, 800] to the model, and then process the output of the size [21, 800, 800]. You should also print out at least part of the actual data of the input and output, to be used in the next three steps to compare with the actual input and output of the model in the iOS app. + +3. Build an iOS app and set up for model inference +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +First, follow the step 3 of the Model Preparation for iOS recipe `here <../recipes/model_preparation_ios.html#add-the-model-and-pytorch-library-on-ios>`_ to create a new Xcode project. Because both DeepLabV3 used in this tutorial and MobileNet v2 used in the PyTorch HelloWorld iOS example are computer vision models, you can also just get the HelloWorld example repo and modify the code that loads the model, as well as the input pre-processing and output post-processing code to test the model `deeplabv3_scripted.pt` generated in Step 1. + +Either way, after adding `deeplabv3_scripted.pt` and `deeplab.jpg` used in Step 2 to the Xcode project, make your `ViewController.swift` look like this: + +:: + + class ViewController: UIViewController { + var image = UIImage(named: "deeplab.jpg")! + + override func viewDidLoad() { + super.viewDidLoad() + } + + private lazy var module: TorchModule = { + if let filePath = Bundle.main.path(forResource: "deeplabv3_scripted", ofType: "pt"), + let module = TorchModule(fileAtPath: filePath) { + return module + } else { + fatalError("Can't find the model file!") + } + }() + + + @IBAction func doInfer(_ sender: Any) { + guard var pixelBuffer = image!.normalized() else { + return + } + + let buffer = module.predict(image: UnsafeMutableRawPointer(&pixelBuffer)) + } + } + +Now set a breakpoint at the line `return module` and build and run the app. If the app stops at the breakpoint, you know the scripted model in Step 1 has been successfully loaded on iOS. It is a great start, but you need to complete Step 4 before knowing for sure that the model actually works with real input on iOS. If the app exits with the error `Can't find the model file!`, you need to go back to Step 1 to and check out the code and resources listed there to find out why. + + +4. Process the model input and output for model inference +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +After the model loads in the above step, we need to make sure it works with expected inputs and can generate expected outputs. As the model input for the DeepLabV3 model is the same as that of the MobileNet v2 in the HelloWorld example, we can reuse some of the code in the `TorchModule.mm` file from HelloWorld for processing input. Your `TorchModule.mm` should look like this - the four comments reflect the four places we made changes on the original `TorchModule.mm` used in HelloWorld: + +:: + + - (unsigned char*)predictImage:(void*)imageBuffer { + try { + // 1. the original deeplab.jpg is of size 800x800, and the model uses 21 classes for semantic segmentation + const int WIDTH = 800; + const int HEIGHT = 800; + const int CLASSNUM = 21; + + at::Tensor tensor = torch::from_blob(imageBuffer, {1, 3, WIDTH, HEIGHT}, at::kFloat); + torch::autograd::AutoGradMode guard(false); + at::AutoNonVariableTypeMode non_var_type_mode(true); + + // 2. convert the input tensor to an NSMutableArray for easy debugging + float* floatInput = tensor.data_ptr(); + if (!floatInput) { + return nil; + } + NSMutableArray* inputs = [[NSMutableArray alloc] init]; + for (int i = 0; i < 3 * WIDTH * HEIGHT; i++) { + [inputs addObject:@(floatInput[i])]; + } + + // 3. the output of the model is a dictionary - see https://pytorch.org/hub/pytorch_vision_deeplabv3_resnet101/ + auto outputDict = _impl.forward({tensor}).toGenericDict(); + + // 4. convert the output to another NSMutableArray for easy debugging + auto outputTensor = outputDict.at("out").toTensor(); + float* floatBuffer = outputTensor.data_ptr(); + if (!floatBuffer) { + return nil; + } + NSMutableArray* results = [[NSMutableArray alloc] init]; + for (int i = 0; i < CLASSNUM * WIDTH * HEIGHT; i++) { + [results addObject:@(floatBuffer[i])]; + } + unsigned char* buffer = (unsigned char*)malloc(3 * WIDTH * HEIGHT); + } + +.. note:: + We did not bother to change the method name `predictImage` used in HelloWorld although a name like `segment` makes better sense in our use of the DeepLabV3 image segmentation model. All we have done so far is to confirm that the model of our interest can be scripted and run correctly in our iOS app as it does in Python. The steps involved so far for using a model in an iOS app should take most of our app development time, just like the data pre-processing task involved in a typical machine learning project. + +With the code changes shown above, you can set breakpoints after the two for loops on `inputs` and `results`, and compare them with the model input and output data you see in Step 2 to see if they match. If they do, you know for sure that the model works successfully on iOS. If they do not match exactly, it does not mean that the model fails to work correctly - as the output is a class probability distribution and if the distributions match, we will still get the right segmentation. The best way to prove if this is the case is to complete the UI and the app to actually show the processed output as a new image. + +5. Complete the UI, refactor, build and run the app +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +The UI for this app is also similar to that for HelloWorld, except that we do not need the `UITextView` to show the image classification result. We will just change the button text and add another one to show back the original image after the segmentation result is shown. The output processing code should be like this, added to the end of the code snippet in Step 4 in `TorchModule.mm`: + +:: + + for (int j = 0; j < width; j++) { + for (int k = 0; k < height; k++) { + int maxj = 0; + int maxk = 0; + int maxi = 0; + + float maxnum = -100000.0; + for (int i = 0; i < CLASSNUM; i++) { + if ([results[i * (width * height) + j * width + k] floatValue] > maxnum) { + maxnum = [results[i * (width * height) + j * width + k] floatValue]; + maxj = j; + maxk = k; + maxi = i; + } + } + + if (maxi == PERSON) { + buffer[3 * (maxj * width + maxk)] = 255; + buffer[3 * (maxj * width + maxk) + 1] = 0; + buffer[3 * (maxj * width + maxk) + 2] = 0; + } + else if (maxi == DOG) { + buffer[3 * (maxj * width + maxk)] = 0; + buffer[3 * (maxj * width + maxk) + 1] = 255; + buffer[3 * (maxj * width + maxk) + 2] = 0; + } else if (maxi == SHEEP) { + buffer[3 * (maxj * width + maxk)] = 0; + buffer[3 * (maxj * width + maxk) + 1] = 0; + buffer[3 * (maxj * width + maxk) + 2] = 255; + } else { + buffer[3 * (maxj * width + maxk)] = 0; + buffer[3 * (maxj * width + maxk) + 1] = 0; + buffer[3 * (maxj * width + maxk) + 2] = 0; + } + } + } + +We implement this based on our understanding of the DeepLabV3 model, which outputs a tensor of size [21, 800, 800], as shown in Step 2. So for an input image of 800x800, each element in the 800x800 output array is a value between 0 and 20 (for a total of 21 semantic labels described in Introduction. + +Now just run the app on an iOS simulator or an actual iOS device, and you will see the following screens: + +.. image:: /_static/img/deeplabv3_ios.png + :width: 300 px +.. image:: /_static/img/deeplabv3_ios2.png + :width: 300 px + + +Recap +-------- + +In this tutorial, we described in step-by-step detail what it takes to convert a pre-trained PyTorch model to run on iOS. We covered how to correctly process the model input and output, and how to make sure they match what the original model in Python expects and generates. + +Learn More +------------ + +1. `PyTorch Mobile site `_ +2. `DeepLabV3 model `_ +3. `DeepLabV3 paper `_ From c287f2a3f0c310cd7d2ca9cd119fbfdcd3404080 Mon Sep 17 00:00:00 2001 From: Jeff Tang Date: Fri, 30 Oct 2020 11:23:17 -0700 Subject: [PATCH 12/18] more edits on the ios segmentation tutorial --- beginner_source/deeplabv3_on_ios.rst | 84 ++++++++++++++-------------- 1 file changed, 42 insertions(+), 42 deletions(-) diff --git a/beginner_source/deeplabv3_on_ios.rst b/beginner_source/deeplabv3_on_ios.rst index cec40679ea0..e4cd11499a3 100644 --- a/beginner_source/deeplabv3_on_ios.rst +++ b/beginner_source/deeplabv3_on_ios.rst @@ -10,20 +10,20 @@ Semantic image segmentation is a computer vision task that uses semantic labels In this tutorial, we will provide a step-by-step guide on how to prepare and run the PyTorch DeepLabV3 model on iOS, taking you from the beginning of having a model you may want to use on iOS to the end of having a complete iOS app using the model. We will also cover practical and general tips on how to check if your next favorable pre-trained PyTorch models can run on iOS, and what pitfalls need to be watched out and avoided. -.. note:: Before going through this tutorial, you should give `PyTorch Mobile for iOS `_ and its `HelloWorld `_ sample app a quick try. This tutorial will go beyond the image classification model, usually the first kind of models deployed on mobile. The complete code repo for this tutorial is available `here `_. +.. note:: Before going through this tutorial, you should check out `PyTorch Mobile for iOS `_ and give the PyTorch iOS `HelloWorld `_ example app a quick try. This tutorial will go beyond the image classification model, usually the first kind of model deployed on mobile. The complete code repo for this tutorial is available `here `_. Learning Objectives ------------------- -In this tutorial, we will learn how to: +In this tutorial, you will learn how to: 1. Convert the DeepLabV3 model for iOS deployment; -2. Get example input and output of the model in Python so later in the iOS app we can prepare the right input for the model and process the model output; +2. Get example input and output of the model in Python for iOS app to compare with; -3. Build an iOS Swift app from scratch and add the PyTorch iOS Objective-C template files and code needed for running the model for inference; +3. Build a new iOS app, or reuse an iOS example app, to load the converted model; -4. Prepare the model input that can be accepted by the model and process the model output, which, depends on the model architecture, can be a single tensor, a tuple of tensors, or a dictionary of string and tensor, among others. +4. Prepare the model input that can be accepted by the model and process the model output; 5. Complete the UI, refactor, build and run the app to see image segmentation in action. @@ -43,10 +43,10 @@ Steps 1. Convert the DeepLabV3 model for iOS deployment ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -The first step after you have a model that you'd like to deploy on iOS is to convert the model to the TorchScript format. +The first step after you find a model that you'd like to deploy on iOS is to convert the model to the `TorchScript `_ format. .. note:: - Not all PyTorch models can be converted for iOS deployment at this time, because a model definition may use the language features not in TorchScript, a subset of Python. See the `Script and Optimize Recipe <../recipes/script_optimized.html>`_ for more details. + Not all PyTorch models can be converted to TorchScript at this time, because a model definition may use the language features not in TorchScript, which is a subset of Python. See the `Script and Optimize Recipe <../recipes/script_optimized.html>`_ for more details. Simply run the script below to generate the scripted model `deeplabv3_scripted.pt`: @@ -61,13 +61,12 @@ Simply run the script below to generate the scripted model `deeplabv3_scripted.p scriptedm = torch.jit.script(model) torch.jit.save(scriptedm, "deeplabv3_scripted.pt") -.. warning:: - Ideally, a model should also be quantized for significant size reduction and faster inference before being deployed on an iOS app. But not all models can be successfully quantized at the time of the writing as quantization is still in beta. To have a general understanding of quantization, see the `Quantization Recipe <../recipes/quantization.html>`_ and the resource links in the recipe. We will cover in detail how to correctly apply a quantization workflow called Post Training `Static Quantization `_ to the DeepLabV3 model in a future tutorial or recipe. +The size of the generated `deeplabv3_scripted.pt` model file should be around 168MB. Ideally, a model should also be quantized for significant size reduction and faster inference before being deployed on an iOS app. But not all models can be successfully or easily quantized at the time of the writing because quantization is still in beta. To have a general understanding of quantization, see the `Quantization Recipe <../recipes/quantization.html>`_ and the resource links there. We will cover in detail how to correctly apply a quantization workflow called Post Training `Static Quantization `_ to the DeepLabV3 model in a future tutorial or recipe. 2. Get example input and output of the model in Python ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -After you have a scripted PyTorch model, you need to test with some example input to make sure it works correctly on iOS. To do that, we first need to write or reuse some Python script that uses the model to make inference on an input and generate an output. In the case of DeepLabV3, we can reuse most of the code in the model hub page above. Add the following code to the code above: +After you have a scripted PyTorch model, you need to test with some example input to make sure it works correctly on iOS. To do that, you first need to write or reuse some Python script that uses the model to make inference and examine some example input and output. In the case of DeepLabV3, you can reuse some of the code in the model hub page above. Add the following code snippet to the code above: :: @@ -95,14 +94,14 @@ Download `deeplab.jpg` from `here `_ to create a new Xcode project. Because both DeepLabV3 used in this tutorial and MobileNet v2 used in the PyTorch HelloWorld iOS example are computer vision models, you can also just get the HelloWorld example repo and modify the code that loads the model, as well as the input pre-processing and output post-processing code to test the model `deeplabv3_scripted.pt` generated in Step 1. +First, follow Step 3 of the `Model Preparation for iOS recipe <../recipes/model_preparation_ios.html#add-the-model-and-pytorch-library-on-ios>`_ to create a new Xcode project with PyTorch Mobile enabled. Because both DeepLabV3 used in this tutorial and MobileNet v2 used in the PyTorch HelloWorld iOS example are computer vision models, you can also get the `HelloWorld example repo `_ to make it easier to modify the code that loads the model and processes the input and output. The main goal in this step and Step 4 is to make sure the model `deeplabv3_scripted.pt` generated in Step 1 can indeed work correctly on iOS. -Either way, after adding `deeplabv3_scripted.pt` and `deeplab.jpg` used in Step 2 to the Xcode project, make your `ViewController.swift` look like this: +Now add `deeplabv3_scripted.pt` and `deeplab.jpg` used in Step 2 to the Xcode project, make your `ViewController.swift` look like this: :: @@ -114,31 +113,23 @@ Either way, after adding `deeplabv3_scripted.pt` and `deeplab.jpg` used in Step } private lazy var module: TorchModule = { - if let filePath = Bundle.main.path(forResource: "deeplabv3_scripted", ofType: "pt"), + if let filePath = Bundle.main.path(forResource: "deeplabv3_scripted", + ofType: "pt"), let module = TorchModule(fileAtPath: filePath) { return module } else { - fatalError("Can't find the model file!") + fatalError("Can't load the model file!") } }() - - - @IBAction func doInfer(_ sender: Any) { - guard var pixelBuffer = image!.normalized() else { - return - } - - let buffer = module.predict(image: UnsafeMutableRawPointer(&pixelBuffer)) - } } -Now set a breakpoint at the line `return module` and build and run the app. If the app stops at the breakpoint, you know the scripted model in Step 1 has been successfully loaded on iOS. It is a great start, but you need to complete Step 4 before knowing for sure that the model actually works with real input on iOS. If the app exits with the error `Can't find the model file!`, you need to go back to Step 1 to and check out the code and resources listed there to find out why. +Then set a breakpoint at the line `return module` and build and run the app. If the app stops at the breakpoint, you know the scripted model in Step 1 has been successfully loaded on iOS. It is a great start, but you need to complete Step 4 before knowing for sure that the model actually works with real input on iOS. If the app exits with the error `Can't load the model file!`, you need to go back to Step 1 to and check out the code and resources listed there to find out why. 4. Process the model input and output for model inference ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -After the model loads in the above step, we need to make sure it works with expected inputs and can generate expected outputs. As the model input for the DeepLabV3 model is the same as that of the MobileNet v2 in the HelloWorld example, we can reuse some of the code in the `TorchModule.mm` file from HelloWorld for processing input. Your `TorchModule.mm` should look like this - the four comments reflect the four places we made changes on the original `TorchModule.mm` used in HelloWorld: +After the model loads in the previous step, you need to verify that it works with expected inputs and can generate expected outputs. As the model input for the DeepLabV3 model is an image, the same as that of the MobileNet v2 in the HelloWorld example, you can reuse some of the code in the `TorchModule.mm` file from HelloWorld for input processing. Your `TorchModule.mm` should look like this - the four comments reflect where changes are made to the original `TorchModule.mm` used in HelloWorld: :: @@ -153,7 +144,7 @@ After the model loads in the above step, we need to make sure it works with expe torch::autograd::AutoGradMode guard(false); at::AutoNonVariableTypeMode non_var_type_mode(true); - // 2. convert the input tensor to an NSMutableArray for easy debugging + // 2. convert the input tensor to an NSMutableArray for debugging float* floatInput = tensor.data_ptr(); if (!floatInput) { return nil; @@ -163,7 +154,8 @@ After the model loads in the above step, we need to make sure it works with expe [inputs addObject:@(floatInput[i])]; } - // 3. the output of the model is a dictionary - see https://pytorch.org/hub/pytorch_vision_deeplabv3_resnet101/ + // 3. the output of the model is a dictionary of string and tensor, as + // specified at https://pytorch.org/hub/pytorch_vision_deeplabv3_resnet101 auto outputDict = _impl.forward({tensor}).toGenericDict(); // 4. convert the output to another NSMutableArray for easy debugging @@ -176,37 +168,41 @@ After the model loads in the above step, we need to make sure it works with expe for (int i = 0; i < CLASSNUM * WIDTH * HEIGHT; i++) { [results addObject:@(floatBuffer[i])]; } - unsigned char* buffer = (unsigned char*)malloc(3 * WIDTH * HEIGHT); } .. note:: - We did not bother to change the method name `predictImage` used in HelloWorld although a name like `segment` makes better sense in our use of the DeepLabV3 image segmentation model. All we have done so far is to confirm that the model of our interest can be scripted and run correctly in our iOS app as it does in Python. The steps involved so far for using a model in an iOS app should take most of our app development time, just like the data pre-processing task involved in a typical machine learning project. + We did not bother to change the method name `predictImage` used in HelloWorld although a name like `segment` makes more sense in our use of the DeepLabV3 model. Also note that the model output is a dictionary for the DeepLabV3 model, so we use `toGenericDict` to correctly extract the result. The model output may also be a single tensor or a tuple of tensors, among other things, for other models. + +With the code changes shown above, you can set breakpoints after the two for loops that populate `inputs` and `results`, and compare them with the model input and output data you see in Step 2 to see if they match. If they do, you know for sure that the model works successfully on iOS. If they do not match perfectly, it does not mean that the model fails to work correctly - as the output is a class probability distribution and as long as the distributions match, you will still get the right segmentation result - the best way to prove if this is the case is to complete the UI and the app to actually see the processed result as a new image. + +.. important:: + All we have done so far is to confirm that the model of our interest can be scripted and run correctly in our iOS app as in Python. The steps involved so far for using a model in an iOS app take a lot, if not most, of our app development time, just like the data pre-processing task involved in a typical machine learning project does. -With the code changes shown above, you can set breakpoints after the two for loops on `inputs` and `results`, and compare them with the model input and output data you see in Step 2 to see if they match. If they do, you know for sure that the model works successfully on iOS. If they do not match exactly, it does not mean that the model fails to work correctly - as the output is a class probability distribution and if the distributions match, we will still get the right segmentation. The best way to prove if this is the case is to complete the UI and the app to actually show the processed output as a new image. 5. Complete the UI, refactor, build and run the app ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -The UI for this app is also similar to that for HelloWorld, except that we do not need the `UITextView` to show the image classification result. We will just change the button text and add another one to show back the original image after the segmentation result is shown. The output processing code should be like this, added to the end of the code snippet in Step 4 in `TorchModule.mm`: +The UI for this app is also similar to that for HelloWorld, except that you do not need the `UITextView` to show the image classification result. Just change the button text and add another one to show back the original image after the segmentation result is shown. The output processing code should be like this, added to the end of the code snippet in Step 4 in `TorchModule.mm`: :: - for (int j = 0; j < width; j++) { - for (int k = 0; k < height; k++) { + unsigned char* buffer = (unsigned char*)malloc(3 * WIDTH * HEIGHT); + // go through each element in the output of size [WIDTH, HEIGHT] and + // set different color for different classnum + for (int j = 0; j < WIDTH; j++) { + for (int k = 0; k < HEIGHT; k++) { int maxj = 0; int maxk = 0; int maxi = 0; - float maxnum = -100000.0; for (int i = 0; i < CLASSNUM; i++) { - if ([results[i * (width * height) + j * width + k] floatValue] > maxnum) { - maxnum = [results[i * (width * height) + j * width + k] floatValue]; + if ([results[i * (WIDTH * HEIGHT) + j * WIDTH + k] floatValue] > maxnum) { + maxnum = [results[i * (WIDTH * HEIGHT) + j * WIDTH + k] floatValue]; maxj = j; maxk = k; maxi = i; } } - if (maxi == PERSON) { buffer[3 * (maxj * width + maxk)] = 255; buffer[3 * (maxj * width + maxk) + 1] = 0; @@ -228,7 +224,9 @@ The UI for this app is also similar to that for HelloWorld, except that we do no } } -We implement this based on our understanding of the DeepLabV3 model, which outputs a tensor of size [21, 800, 800], as shown in Step 2. So for an input image of 800x800, each element in the 800x800 output array is a value between 0 and 20 (for a total of 21 semantic labels described in Introduction. +The implementation here is based on the understanding of the DeepLabV3 model, which outputs a tensor of size [21, 800, 800], as shown in Step 2. So for an input image of 800x800, each element in the 800x800 output array is a value between 0 and 20 (for a total of 21 semantic labels described in Introduction) and the value is used to set a specific color. + +After the output processing, you will also need to call a helper function `convertRGBBufferToUIImage` defined in the `UIImageHelper.mm` of the code repo to convert the RGB `buffer` to an `UIImage` instance to be shown on `UIImageView`. Now just run the app on an iOS simulator or an actual iOS device, and you will see the following screens: @@ -241,7 +239,9 @@ Now just run the app on an iOS simulator or an actual iOS device, and you will s Recap -------- -In this tutorial, we described in step-by-step detail what it takes to convert a pre-trained PyTorch model to run on iOS. We covered how to correctly process the model input and output, and how to make sure they match what the original model in Python expects and generates. +In this tutorial, we described what it takes to convert a pre-trained PyTorch DeepLabV3 model for iOS and how to make sure the model can run successfully on iOS. Our focus was to help you understand the process of confirming that a model can indeed run on iOS. The complete code repo is available `here `_. + +More advanced topics such as quantization and using models via transfer learning or of your own on iOS will be covered soon in future demo apps and tutorials. 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z{U1mU?L_5*=V5;&_2$hR*VNSH$4jQBrZni9L)N*@ip?<3&d%=4HYCoS8R%fn378i` zBd)i%*Oio%1dmH0GK^n-{`}bs4tc1TAlyU}kZ@L6#iUz=R?$sw1NWF4R3W(p7{6kB zaO`B;lVD41hduE&6_QEdA%80MkhIC95l^WkAdk%1wtMF^+5Xk$BNt8CM-Z_7aEX2d zs01D6d9x|?Ha3!}cz7Dvm|1mEo@b^!^8I%SNDOxX{jAK~l4~3TY@I>`L?AW-5|G$X z>qH_T0wRzu0$K->E_>=~L_h>YAT|OLkl0Y`L?R#pB9JZu5|DJ+Q&%GbA|L{>5s-ky zhFT{Q0TB>^bP1A zv7y$9L_h>YAYB9`AnCHFu0{kzKm=kVAOVRDwN4}gA|L|kA|L@tmpyegA|L`H5E}sr kNNlKeA`uV)5l9z--}(syI<^KvUH||907*qoM6N<$f@C|4VgLXD literal 0 HcmV?d00001 diff --git a/beginner_source/deeplabv3_on_android.rst b/beginner_source/deeplabv3_on_android.rst new file mode 100644 index 00000000000..737ef0e5f2c --- /dev/null +++ b/beginner_source/deeplabv3_on_android.rst @@ -0,0 +1,227 @@ +Image Segmentation DeepLabV3 on Android +================================================= + +**Author**: `Jeff Tang `_ + +Introduction +------------ + +Semantic image segmentation is a computer vision task that uses semantic labels to mark specific regions of an input image. The PyTorch semantic image segmentation `DeepLabV3 model `_ can be used to label image regions with `20 semantic classes `_ including, for example, bicycle, bus, car, dog, and person. It is evident that image segmentation models can be very useful in applications such as autonomous driving and scene understanding. + +In this tutorial, we will provide a step-by-step guide on how to prepare and run the PyTorch DeepLabV3 model on Android, taking you from the beginning of having a model you may want to use on Android to the end of having a complete Android app using the model. We will also cover practical and general tips on how to check if your next favorable pre-trained PyTorch models can run on Android, and what pitfalls need to be watched out and avoided. + +.. note:: Before going through this tutorial, you should check out `PyTorch Mobile for Android `_ and give the PyTorch Android `HelloWorld `_ example app a quick try. This tutorial will go beyond the image classification model, usually the first kind of model deployed on mobile. The complete code repo for this tutorial is available `here `_. + +Learning Objectives +------------------- + +In this tutorial, you will learn how to: + +1. Convert the DeepLabV3 model for Android deployment; + +2. Get example input and output of the model in Python for Android app to compare with; + +3. Build a new Android app, or reuse an Android example app, to load the converted model; + +4. Prepare the model input that can be accepted by the model and process the model output; + +5. Complete the UI, refactor, build and run the app to see image segmentation in action. + +Pre-requisites +--------------- + +* PyTorch 1.6 or 1.7 + +* torchvision 0.7 or 0.8 + +* Android Studio 3.5.1 or above with NDK installed + +Steps +--------- + +1. Convert the DeepLabV3 model for Android deployment +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +The first step after you find a model that you'd like to deploy on Android is to convert the model to the `TorchScript `_ format. + +.. note:: + Not all PyTorch models can be converted to TorchScript at this time, because a model definition may use the language features not in TorchScript, which is a subset of Python. See the `Script and Optimize Recipe <../recipes/script_optimized.html>`_ for more details. + +Simply run the script below to generate the scripted model `deeplabv3_scripted.pt`: + +:: + + import torch + + # use deeplabv3_resnet50 instead of deeplabv3_resnet101 to reduce the model size + model = torch.hub.load('pytorch/vision:v0.7.0', 'deeplabv3_resnet50', pretrained=True) + model.eval() + + scriptedm = torch.jit.script(model) + torch.jit.save(scriptedm, "deeplabv3_scripted.pt") + +The size of the generated `deeplabv3_scripted.pt` model file should be around 168MB. Ideally, a model should also be quantized for significant size reduction and faster inference before being deployed on an Android app. But not all models can be successfully or easily quantized at the time of the writing because quantization is still in beta. To have a general understanding of quantization, see the `Quantization Recipe <../recipes/quantization.html>`_ and the resource links there. We will cover in detail how to correctly apply a quantization workflow called Post Training `Static Quantization `_ to the DeepLabV3 model in a future tutorial or recipe. + +2. Get example input and output of the model in Python +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +After you have a scripted PyTorch model, you need to test with some example input to make sure it works correctly on Android. To do that, you first need to write or reuse some Python script that uses the model to make inference and examine some example input and output. In the case of DeepLabV3, you can reuse some of the code in the model hub page above. Add the following code snippet to the code above: + +:: + + from PIL import Image + from torchvision import transforms + input_image = Image.open("deeplab.jpg") + preprocess = transforms.Compose([ + transforms.ToTensor(), + transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]), + ]) + + input_tensor = preprocess(input_image) + input_batch = input_tensor.unsqueeze(0) + with torch.no_grad(): + rslt = model(input_batch) + output = rslt['out'][0] + + print(input_batch.shape) + print(output.shape) + +Download `deeplab.jpg` from `here `_, then run the script above and you will see the shapes of the input and output of the model: + +:: + + torch.Size([1, 3, 400, 400]) + torch.Size([21, 400, 400]) + +So you will have to provide an input of the exact shape [1, 3, 400, 400] to the model, and then process the output of the size [21, 400, 400]. You should also print out at least the beginning parts of the actual data of the input and output, to be used in Step 4 below to compare with the actual input and output of the model when running in the Android app. + +3. Build a new Android app or reuse an example app and load the model +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +First, follow Step 3 of the `Model Preparation for Android recipe <../recipes/model_preparation_android.html#add-the-model-and-pytorch-library-on-android>`_ to create a new Android Studio project with PyTorch Mobile enabled. Because both DeepLabV3 used in this tutorial and MobileNet v2 used in the PyTorch HelloWorld Android example are computer vision models, you can also get the `HelloWorld example repo `_ to make it easier to modify the code that loads the model and processes the input and output. The main goal in this step and Step 4 is to make sure the model `deeplabv3_scripted.pt` generated in Step 1 can indeed work correctly on Android. + +Now add `deeplabv3_scripted.pt` and `deeplab.jpg` used in Step 2 to the Android Studio project, make the `onCreate` method in the `MainActivity` contain the code snippet below: + +:: + + Module module = null; + try { + module = Module.load(assetFilePath(this, "deeplabv3_scripted.pt")); + } catch (IOException e) { + Log.e("ImageSegmentation", "Error loading model!", e); + finish(); + } + +Then set a breakpoint at the line `finish()` and build and run the app. If the app does not stop at the breakpoint, you know the scripted model in Step 1 has been successfully loaded on Android. It is a great start, but you need to complete Step 4 before knowing for sure that the model actually works with real input on Android. If the app exits with the error `Error loading model!`, you need to go back to Step 1 to and check out the code and resources listed there to find out why. + + +4. Process the model input and output for model inference +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +After the model loads in the previous step, you need to verify that it works with expected inputs and can generate expected outputs. As the model input for the DeepLabV3 model is an image, the same as that of the MobileNet v2 in the HelloWorld example, you can reuse some of the code in the `MainActivity.java` file from HelloWorld for input processing. Your button click handler code in the `MainActivity.java` should look like this: + +:: + + final Tensor inputTensor = TensorImageUtils.bitmapToFloat32Tensor(bitmap, + TensorImageUtils.TORCHVISION_NORM_MEAN_RGB, + TensorImageUtils.TORCHVISION_NORM_STD_RGB); + final float[] inputs = inputTensor.getDataAsFloatArray(); + + Map outTensors = + module.forward(IValue.from(inputTensor)).toDictStringKey(); + + // as documented in https://pytorch.org/hub/pytorch_vision_deeplabv3_resnet101, + // the key "out" of the output tensor contains the semantic masks + final Tensor outputTensor = outTensors.get("out").toTensor(); + final float[] outputs = outputTensor.getDataAsFloatArray(); + + int width = bitmap.getWidth(); + int height = bitmap.getHeight(); + +.. note:: + The model output is a dictionary for the DeepLabV3 model, so we call `toDictStringKey` after the model `forward` call to correctly extract the result. The model output may also be a single tensor or a tuple of tensors, among other things, for other models. + +Set breakpoints at the lines after `final float[] inputs` and `final float[] outputs`, which populate the input tensor and output tensor data to float arrays for easy debugging. Run the app and when it stops at the breakpoints, compare the numbers in `inputs` and `outputs` with the model input and output data you see in Step 2 to see if they match. If they do, you know for sure that the model works successfully on Android. If they do not match perfectly, it does not mean that the model fails to work correctly - as the output is a class probability distribution and as long as the distributions match, you will still get the right segmentation result - the best way to prove if this is the case is to complete the UI and the app to actually see the processed result as a new image. + +.. important:: + All we have done so far is to confirm that the model of our interest can be scripted and run correctly in our Android app as in Python. The steps involved so far for using a model in an Android app take a lot, if not most, of our app development time, just like the data pre-processing task involved in a typical machine learning project usually does. + + +5. Complete the UI, refactor, build and run the app +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +The UI for this app is also similar to that for HelloWorld, except that you do not need the `TextView` to show the image classification result. Just change the button text and add another one to show back the original image after the segmentation result is shown. The output processing code should be like this, added to the end of the code snippet in Step 4: + +:: + + int[] intValues = new int[width * height]; + for (int i = 0; i < intValues.length; i++) { + intValues[i] = 0xFFFFFFFF; + } + for (int j = 0; j < width; j++) { + for (int k = 0; k < height; k++) { + int maxj = 0; + int maxk = 0; + int maxi = 0; + double maxnum = -100000.0; + for (int i=0; i < CLASSNUM; i++) { + if (scores[i*(width*height) + j*width + k] > maxnum) { + maxnum = scores[i*(width*height) + j*width + k]; + maxj = j; maxk= k; maxi = i; + } + } + if (maxi == PERSON) + intValues[maxj*width + maxk] = 0xFFFF0000; + else if (maxi == DOG) + intValues[maxj*width + maxk] = 0xFF00FF00; + else if (maxi == SHEEP) + intValues[maxj*width + maxk] = 0xFF0000FF; + else + intValues[maxj*width + maxk] = 0xFF000000; + } + } + +The constants used in the code above are defined in the beginning of the class `MainActivity`: + +:: + + private static final int CLASSNUM = 21; + private static final int DOG = 12; + private static final int PERSON = 15; + private static final int SHEEP = 17; + + +The implementation here is based on the understanding of the DeepLabV3 model, which outputs a tensor of size [21, 400, 400], as shown in Step 2. So for an input image of 400x400, each element in the 400x400 output array is a value between 0 and 20 (for a total of 21 semantic labels described in Introduction) and the value is used to set a specific color. + +After the output processing, you will also need to call the code below to render the RGB `intValues` array to a bitmap instance `outputBitmap` before displaying it on an `ImageView`: + +:: + + Bitmap bmpSegmentation = Bitmap.createScaledBitmap(bitmap, width, height, true); + Bitmap outputBitmap = bmpSegmentation.copy(bmpSegmentation.getConfig(), true); + outputBitmap.setPixels(intValues, 0, outputBitmap.getWidth(), 0, 0, + outputBitmap.getWidth(), outputBitmap.getHeight()); + imageView.setImageBitmap(outputBitmap); + +Now build and run the app on an Android emulator or an actual device, and you will see the following screens: + +.. image:: /_static/img/deeplabv3_android.png + :width: 300 px +.. image:: /_static/img/deeplabv3_android2.png + :width: 300 px + + +Recap +-------- + +In this tutorial, we described what it takes to convert a pre-trained PyTorch DeepLabV3 model for Android and how to make sure the model can run successfully on Android. Our focus was to help you understand the process of confirming that a model can indeed run on Android. The complete code repo is available `here `_. + +More advanced topics such as quantization and using models via transfer learning or of your own on Android will be covered soon in future demo apps and tutorials. + + +Learn More +------------ + +1. `PyTorch Mobile site `_ +2. `DeepLabV3 model `_ +3. `DeepLabV3 paper `_ From d4ae43999c822c6b89a1de9b981fc405225f06f1 Mon Sep 17 00:00:00 2001 From: Jeff Tang Date: Tue, 3 Nov 2020 17:30:11 -0800 Subject: [PATCH 14/18] ios segmentation tutorial update --- beginner_source/deeplabv3_on_ios.rst | 104 ++++++++++++--------------- 1 file changed, 47 insertions(+), 57 deletions(-) diff --git a/beginner_source/deeplabv3_on_ios.rst b/beginner_source/deeplabv3_on_ios.rst index e4cd11499a3..f3b50c72d2e 100644 --- a/beginner_source/deeplabv3_on_ios.rst +++ b/beginner_source/deeplabv3_on_ios.rst @@ -6,9 +6,9 @@ Image Segmentation DeepLabV3 on iOS Introduction ------------ -Semantic image segmentation is a computer vision task that uses semantic labels to mark specific regions of an input image. The PyTorch semantic image segmentation `DeepLabV3 model `_ can be used to label image regions with `20 semantic classes `_ including, for example, bicycle, bus, car, dog, and person. It is evident that image segmentation models can be very useful in applications such as autonomous driving and scene understanding. +Semantic image segmentation is a computer vision task that uses semantic labels to mark specific regions of an input image. The PyTorch semantic image segmentation `DeepLabV3 model `_ can be used to label image regions with `20 semantic classes `_ including, for example, bicycle, bus, car, dog, and person. Image segmentation models can be very useful in applications such as autonomous driving and scene understanding. -In this tutorial, we will provide a step-by-step guide on how to prepare and run the PyTorch DeepLabV3 model on iOS, taking you from the beginning of having a model you may want to use on iOS to the end of having a complete iOS app using the model. We will also cover practical and general tips on how to check if your next favorable pre-trained PyTorch models can run on iOS, and what pitfalls need to be watched out and avoided. +In this tutorial, we will provide a step-by-step guide on how to prepare and run the PyTorch DeepLabV3 model on iOS, taking you from the beginning of having a model you may want to use on iOS to the end of having a complete iOS app using the model. We will also cover practical and general tips on how to check if your next favorable pre-trained PyTorch models can run on iOS, and how to avoid pitfalls. .. note:: Before going through this tutorial, you should check out `PyTorch Mobile for iOS `_ and give the PyTorch iOS `HelloWorld `_ example app a quick try. This tutorial will go beyond the image classification model, usually the first kind of model deployed on mobile. The complete code repo for this tutorial is available `here `_. @@ -17,13 +17,13 @@ Learning Objectives In this tutorial, you will learn how to: -1. Convert the DeepLabV3 model for iOS deployment; +1. Convert the DeepLabV3 model for iOS deployment. -2. Get example input and output of the model in Python for iOS app to compare with; +2. Get the output of the model for the example input image in Python and compare it to the output from the iOS app. -3. Build a new iOS app, or reuse an iOS example app, to load the converted model; +3. Build a new iOS app or reuse an iOS example app to load the converted model. -4. Prepare the model input that can be accepted by the model and process the model output; +4. Prepare the input into the format that the model expects and process the model output. 5. Complete the UI, refactor, build and run the app to see image segmentation in action. @@ -43,10 +43,10 @@ Steps 1. Convert the DeepLabV3 model for iOS deployment ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -The first step after you find a model that you'd like to deploy on iOS is to convert the model to the `TorchScript `_ format. +The first step to deploying a model on iOS is to convert the model into the `TorchScript `_ format. .. note:: - Not all PyTorch models can be converted to TorchScript at this time, because a model definition may use the language features not in TorchScript, which is a subset of Python. See the `Script and Optimize Recipe <../recipes/script_optimized.html>`_ for more details. + Not all PyTorch models can be converted to TorchScript at this time because a model definition may use language features that are not in TorchScript, which is a subset of Python. See the `Script and Optimize Recipe <../recipes/script_optimized.html>`_ for more details. Simply run the script below to generate the scripted model `deeplabv3_scripted.pt`: @@ -61,12 +61,12 @@ Simply run the script below to generate the scripted model `deeplabv3_scripted.p scriptedm = torch.jit.script(model) torch.jit.save(scriptedm, "deeplabv3_scripted.pt") -The size of the generated `deeplabv3_scripted.pt` model file should be around 168MB. Ideally, a model should also be quantized for significant size reduction and faster inference before being deployed on an iOS app. But not all models can be successfully or easily quantized at the time of the writing because quantization is still in beta. To have a general understanding of quantization, see the `Quantization Recipe <../recipes/quantization.html>`_ and the resource links there. We will cover in detail how to correctly apply a quantization workflow called Post Training `Static Quantization `_ to the DeepLabV3 model in a future tutorial or recipe. +The size of the generated `deeplabv3_scripted.pt` model file should be around 168MB. Ideally, a model should also be quantized for significant size reduction and faster inference before being deployed on an iOS app. To have a general understanding of quantization, see the `Quantization Recipe <../recipes/quantization.html>`_ and the resource links there. We will cover in detail how to correctly apply a quantization workflow called Post Training `Static Quantization `_ to the DeepLabV3 model in a future tutorial or recipe. 2. Get example input and output of the model in Python ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -After you have a scripted PyTorch model, you need to test with some example input to make sure it works correctly on iOS. To do that, you first need to write or reuse some Python script that uses the model to make inference and examine some example input and output. In the case of DeepLabV3, you can reuse some of the code in the model hub page above. Add the following code snippet to the code above: +Now that we have a scripted PyTorch model, let's test with some example inputs to make sure the model works correctly on iOS. First, let's write a Python script that uses the model to make inferences and examine inputs and outputs. For this example of the DeepLabV3 model, we can reuse the code in Step 1 and in the `DeepLabV3 model hub site `_. Add the following code snippet to the code above: :: @@ -81,29 +81,28 @@ After you have a scripted PyTorch model, you need to test with some example inpu input_tensor = preprocess(input_image) input_batch = input_tensor.unsqueeze(0) with torch.no_grad(): - rslt = model(input_batch) - output = rslt['out'][0] + output = model(input_batch)['out'][0] print(input_batch.shape) print(output.shape) -Download `deeplab.jpg` from `here `_, then run the script above and you will see the shapes of the input and output of the model: +Download `deeplab.jpg` from `here `_ and run the script above to see the shapes of the input and output of the model: :: - torch.Size([1, 3, 800, 800]) - torch.Size([21, 800, 800]) + torch.Size([1, 3, 400, 400]) + torch.Size([21, 400, 400]) -So you will have to provide an input of the exact shape [1, 3, 800, 800] to the model, and then process the output of the size [21, 800, 800]. You should also print out at least the beginning parts of the actual data of the input and output, to be used in Step 4 below to compare with the actual input and output of the model when running in the iOS app. +So if you provide the same image input `deeplab.jpg` of size 400x400 to the model on iOS, the output of the model should have the size [21, 400, 400]. You should also print out at least the beginning parts of the actual data of the input and output, to be used in Step 4 below to compare with the actual input and output of the model when running in the iOS app. 3. Build a new iOS app or reuse an example app and load the model ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -First, follow Step 3 of the `Model Preparation for iOS recipe <../recipes/model_preparation_ios.html#add-the-model-and-pytorch-library-on-ios>`_ to create a new Xcode project with PyTorch Mobile enabled. Because both DeepLabV3 used in this tutorial and MobileNet v2 used in the PyTorch HelloWorld iOS example are computer vision models, you can also get the `HelloWorld example repo `_ to make it easier to modify the code that loads the model and processes the input and output. The main goal in this step and Step 4 is to make sure the model `deeplabv3_scripted.pt` generated in Step 1 can indeed work correctly on iOS. +First, follow Step 3 of the `Model Preparation for iOS recipe <../recipes/model_preparation_ios.html#add-the-model-and-pytorch-library-on-ios>`_ to use our model in an Xcode project with PyTorch Mobile enabled. Because both the DeepLabV3 model used in this tutorial and the MobileNet v2 model used in the PyTorch HelloWorld iOS example are computer vision models, you may choose to start with the `HelloWorld example repo `_ as a template to reuse the code that loads the model and processes the input and output. -Now add `deeplabv3_scripted.pt` and `deeplab.jpg` used in Step 2 to the Xcode project, make your `ViewController.swift` look like this: +Now let's add `deeplabv3_scripted.pt` and `deeplab.jpg` used in Step 2 to the Xcode project and modify `ViewController.swift` to resemble: -:: +.. code-block:: swift class ViewController: UIViewController { var image = UIImage(named: "deeplab.jpg")! @@ -123,21 +122,20 @@ Now add `deeplabv3_scripted.pt` and `deeplab.jpg` used in Step 2 to the Xcode pr }() } -Then set a breakpoint at the line `return module` and build and run the app. If the app stops at the breakpoint, you know the scripted model in Step 1 has been successfully loaded on iOS. It is a great start, but you need to complete Step 4 before knowing for sure that the model actually works with real input on iOS. If the app exits with the error `Can't load the model file!`, you need to go back to Step 1 to and check out the code and resources listed there to find out why. - +Then set a breakpoint at the line `return module` and build and run the app. The app should stop at the breakpoint, meaning that the scripted model in Step 1 has been successfully loaded on iOS. 4. Process the model input and output for model inference ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -After the model loads in the previous step, you need to verify that it works with expected inputs and can generate expected outputs. As the model input for the DeepLabV3 model is an image, the same as that of the MobileNet v2 in the HelloWorld example, you can reuse some of the code in the `TorchModule.mm` file from HelloWorld for input processing. Your `TorchModule.mm` should look like this - the four comments reflect where changes are made to the original `TorchModule.mm` used in HelloWorld: +After the model loads in the previous step, let's verify that it works with expected inputs and can generate expected outputs. As the model input for the DeepLabV3 model is an image, the same as that of the MobileNet v2 in the HelloWorld example, we will reuse some of the code in the `TorchModule.mm `_ file from HelloWorld for input processing. Replace the `predictImage` method implementation in `TorchModule.mm` with the following code: -:: +.. code-block:: objective-c - (unsigned char*)predictImage:(void*)imageBuffer { try { - // 1. the original deeplab.jpg is of size 800x800, and the model uses 21 classes for semantic segmentation - const int WIDTH = 800; - const int HEIGHT = 800; + // 1. the original deeplab.jpg is of size 400x400, and the model uses 21 classes for semantic segmentation + const int WIDTH = 400; + const int HEIGHT = 400; const int CLASSNUM = 21; at::Tensor tensor = torch::from_blob(imageBuffer, {1, 3, WIDTH, HEIGHT}, at::kFloat); @@ -171,60 +169,52 @@ After the model loads in the previous step, you need to verify that it works wit } .. note:: - We did not bother to change the method name `predictImage` used in HelloWorld although a name like `segment` makes more sense in our use of the DeepLabV3 model. Also note that the model output is a dictionary for the DeepLabV3 model, so we use `toGenericDict` to correctly extract the result. The model output may also be a single tensor or a tuple of tensors, among other things, for other models. - -With the code changes shown above, you can set breakpoints after the two for loops that populate `inputs` and `results`, and compare them with the model input and output data you see in Step 2 to see if they match. If they do, you know for sure that the model works successfully on iOS. If they do not match perfectly, it does not mean that the model fails to work correctly - as the output is a class probability distribution and as long as the distributions match, you will still get the right segmentation result - the best way to prove if this is the case is to complete the UI and the app to actually see the processed result as a new image. + The model output is a dictionary for the DeepLabV3 model, so we use `toGenericDict` to correctly extract the result. The model output may also be a single tensor or a tuple of tensors, among other things, for other models. -.. important:: - All we have done so far is to confirm that the model of our interest can be scripted and run correctly in our iOS app as in Python. The steps involved so far for using a model in an iOS app take a lot, if not most, of our app development time, just like the data pre-processing task involved in a typical machine learning project does. +With the code changes shown above, you can set breakpoints after the two for loops that populate `inputs` and `results`, and compare them with the model input and output data you see in Step 2 to see if they match. For the same inputs to the models running on iOS and Python, you should get the same outputs. +All we have done so far is to confirm that the model of our interest can be scripted and run correctly in our iOS app as in Python. The steps involved so far for using a model in an iOS app take a lot, if not most, of our app development time, just like the data pre-processing task involved in a typical machine learning project does. 5. Complete the UI, refactor, build and run the app ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -The UI for this app is also similar to that for HelloWorld, except that you do not need the `UITextView` to show the image classification result. Just change the button text and add another one to show back the original image after the segmentation result is shown. The output processing code should be like this, added to the end of the code snippet in Step 4 in `TorchModule.mm`: +Now we are ready to complete the UI and the app to actually see the processed result as a new image. The UI for this app is also similar to that for HelloWorld, except that you do not need the `UITextView` to show the image classification result. Just change the button text and add another one to show back the original image after the segmentation result is shown. The output processing code should be like this, added to the end of the code snippet in Step 4 in `TorchModule.mm`: -:: +.. code-block:: objective-c - unsigned char* buffer = (unsigned char*)malloc(3 * WIDTH * HEIGHT); + NSMutableData* data = [NSMutableData dataWithLength:sizeof(unsigned char) * 3 * width * height]; + unsigned char* buffer = (unsigned char*)[data mutableBytes]; // go through each element in the output of size [WIDTH, HEIGHT] and // set different color for different classnum for (int j = 0; j < WIDTH; j++) { for (int k = 0; k < HEIGHT; k++) { - int maxj = 0; - int maxk = 0; - int maxi = 0; + // maxi: the index of the 21 CLASSNUM with the max probability + int maxi = 0, maxj = 0, maxk = 0; float maxnum = -100000.0; for (int i = 0; i < CLASSNUM; i++) { if ([results[i * (WIDTH * HEIGHT) + j * WIDTH + k] floatValue] > maxnum) { maxnum = [results[i * (WIDTH * HEIGHT) + j * WIDTH + k] floatValue]; - maxj = j; - maxk = k; - maxi = i; + maxi = i; maxj = j; maxk = k; } } - if (maxi == PERSON) { - buffer[3 * (maxj * width + maxk)] = 255; - buffer[3 * (maxj * width + maxk) + 1] = 0; - buffer[3 * (maxj * width + maxk) + 2] = 0; + // showing color coding for person, dog, sheep and background + int n = 3 * (maxj * width + maxk); + if (maxi == PERSON) { // red + buffer[n] = 255; buffer[n+1] = 0; buffer[n+2] = 0; } - else if (maxi == DOG) { - buffer[3 * (maxj * width + maxk)] = 0; - buffer[3 * (maxj * width + maxk) + 1] = 255; - buffer[3 * (maxj * width + maxk) + 2] = 0; - } else if (maxi == SHEEP) { - buffer[3 * (maxj * width + maxk)] = 0; - buffer[3 * (maxj * width + maxk) + 1] = 0; - buffer[3 * (maxj * width + maxk) + 2] = 255; - } else { - buffer[3 * (maxj * width + maxk)] = 0; - buffer[3 * (maxj * width + maxk) + 1] = 0; - buffer[3 * (maxj * width + maxk) + 2] = 0; + else if (maxi == DOG) { // green + buffer[n] = 0; buffer[n+1] = 255; buffer[n+2] = 0; + } + else if (maxi == SHEEP) { // blue + buffer[n] = 0; buffer[n+1] = 0; buffer[n+2] = 255; + } + else { // black + buffer[n] = 0; buffer[n+1] = 0; buffer[n+2] = 0; } } } -The implementation here is based on the understanding of the DeepLabV3 model, which outputs a tensor of size [21, 800, 800], as shown in Step 2. So for an input image of 800x800, each element in the 800x800 output array is a value between 0 and 20 (for a total of 21 semantic labels described in Introduction) and the value is used to set a specific color. +The implementation here is based on the understanding of the DeepLabV3 model, which outputs a tensor of size [21, width, height] for an input image of width*height. Each element in the width*height output array is a value between 0 and 20 (for a total of 21 semantic labels described in Introduction) and the value is used to set a specific color. Color coding of the segmentation here is based on the class with the highest probability, and you can extend the color coding for all classes in your own dataset. After the output processing, you will also need to call a helper function `convertRGBBufferToUIImage` defined in the `UIImageHelper.mm` of the code repo to convert the RGB `buffer` to an `UIImage` instance to be shown on `UIImageView`. From be3a238976e71f515dc54d67067f31df235eea01 Mon Sep 17 00:00:00 2001 From: Jeff Tang Date: Wed, 4 Nov 2020 12:01:00 -0800 Subject: [PATCH 15/18] code refactoring on code coloring; added reviewed by --- beginner_source/deeplabv3_on_ios.rst | 22 ++++++++-------------- 1 file changed, 8 insertions(+), 14 deletions(-) diff --git a/beginner_source/deeplabv3_on_ios.rst b/beginner_source/deeplabv3_on_ios.rst index f3b50c72d2e..8ac4664fc95 100644 --- a/beginner_source/deeplabv3_on_ios.rst +++ b/beginner_source/deeplabv3_on_ios.rst @@ -3,6 +3,8 @@ Image Segmentation DeepLabV3 on iOS **Author**: `Jeff Tang `_ +**Reviewed by**: `Jeremiah Chung `_ + Introduction ------------ @@ -197,21 +199,13 @@ Now we are ready to complete the UI and the app to actually see the processed re maxi = i; maxj = j; maxk = k; } } - // showing color coding for person, dog, sheep and background int n = 3 * (maxj * width + maxk); - if (maxi == PERSON) { // red - buffer[n] = 255; buffer[n+1] = 0; buffer[n+2] = 0; - } - else if (maxi == DOG) { // green - buffer[n] = 0; buffer[n+1] = 255; buffer[n+2] = 0; - } - else if (maxi == SHEEP) { // blue - buffer[n] = 0; buffer[n+1] = 0; buffer[n+2] = 255; - } - else { // black - buffer[n] = 0; buffer[n+1] = 0; buffer[n+2] = 0; - } - } + // color coding for person (red), dog (green), sheep (blue) + // black color for background and other classes + buffer[n] = 0; buffer[n+1] = 0; buffer[n+2] = 0; + if (maxi == PERSON) buffer[n] = 255; + else if (maxi == DOG) buffer[n+1] = 255; + else if (maxi == SHEEP) buffer[n+2] = 255; } } The implementation here is based on the understanding of the DeepLabV3 model, which outputs a tensor of size [21, width, height] for an input image of width*height. Each element in the width*height output array is a value between 0 and 20 (for a total of 21 semantic labels described in Introduction) and the value is used to set a specific color. Color coding of the segmentation here is based on the class with the highest probability, and you can extend the color coding for all classes in your own dataset. From 3dd6fe29a6c0015912b84a953a8f81fe8ea05dc5 Mon Sep 17 00:00:00 2001 From: Jeff Tang Date: Wed, 4 Nov 2020 13:49:12 -0800 Subject: [PATCH 16/18] updated android deeplabv3 tutorial --- beginner_source/deeplabv3_on_android.rst | 88 ++++++++++++------------ 1 file changed, 45 insertions(+), 43 deletions(-) diff --git a/beginner_source/deeplabv3_on_android.rst b/beginner_source/deeplabv3_on_android.rst index 737ef0e5f2c..f9880e3128e 100644 --- a/beginner_source/deeplabv3_on_android.rst +++ b/beginner_source/deeplabv3_on_android.rst @@ -3,12 +3,14 @@ Image Segmentation DeepLabV3 on Android **Author**: `Jeff Tang `_ +**Reviewed by**: `Jeremiah Chung `_ + Introduction ------------ -Semantic image segmentation is a computer vision task that uses semantic labels to mark specific regions of an input image. The PyTorch semantic image segmentation `DeepLabV3 model `_ can be used to label image regions with `20 semantic classes `_ including, for example, bicycle, bus, car, dog, and person. It is evident that image segmentation models can be very useful in applications such as autonomous driving and scene understanding. +Semantic image segmentation is a computer vision task that uses semantic labels to mark specific regions of an input image. The PyTorch semantic image segmentation `DeepLabV3 model `_ can be used to label image regions with `20 semantic classes `_ including, for example, bicycle, bus, car, dog, and person. Image segmentation models can be very useful in applications such as autonomous driving and scene understanding. -In this tutorial, we will provide a step-by-step guide on how to prepare and run the PyTorch DeepLabV3 model on Android, taking you from the beginning of having a model you may want to use on Android to the end of having a complete Android app using the model. We will also cover practical and general tips on how to check if your next favorable pre-trained PyTorch models can run on Android, and what pitfalls need to be watched out and avoided. +In this tutorial, we will provide a step-by-step guide on how to prepare and run the PyTorch DeepLabV3 model on Android, taking you from the beginning of having a model you may want to use on Android to the end of having a complete Android app using the model. We will also cover practical and general tips on how to check if your next favorable pre-trained PyTorch models can run on Android, and how to avoid pitfalls. .. note:: Before going through this tutorial, you should check out `PyTorch Mobile for Android `_ and give the PyTorch Android `HelloWorld `_ example app a quick try. This tutorial will go beyond the image classification model, usually the first kind of model deployed on mobile. The complete code repo for this tutorial is available `here `_. @@ -17,13 +19,13 @@ Learning Objectives In this tutorial, you will learn how to: -1. Convert the DeepLabV3 model for Android deployment; +1. Convert the DeepLabV3 model for Android deployment. -2. Get example input and output of the model in Python for Android app to compare with; +2. Get the output of the model for the example input image in Python and compare it to the output from the Android app. -3. Build a new Android app, or reuse an Android example app, to load the converted model; +3. Build a new Android app or reuse an Android example app to load the converted model. -4. Prepare the model input that can be accepted by the model and process the model output; +4. Prepare the input into the format that the model expects and process the model output. 5. Complete the UI, refactor, build and run the app to see image segmentation in action. @@ -42,10 +44,10 @@ Steps 1. Convert the DeepLabV3 model for Android deployment ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -The first step after you find a model that you'd like to deploy on Android is to convert the model to the `TorchScript `_ format. +The first step to deploying a model on Android is to convert the model into the `TorchScript `_ format. .. note:: - Not all PyTorch models can be converted to TorchScript at this time, because a model definition may use the language features not in TorchScript, which is a subset of Python. See the `Script and Optimize Recipe <../recipes/script_optimized.html>`_ for more details. + Not all PyTorch models can be converted to TorchScript at this time because a model definition may use language features that are not in TorchScript, which is a subset of Python. See the `Script and Optimize Recipe <../recipes/script_optimized.html>`_ for more details. Simply run the script below to generate the scripted model `deeplabv3_scripted.pt`: @@ -53,19 +55,19 @@ Simply run the script below to generate the scripted model `deeplabv3_scripted.p import torch - # use deeplabv3_resnet50 instead of deeplabv3_resnet101 to reduce the model size + # use deeplabv3_resnet50 instead of resnet101 to reduce the model size model = torch.hub.load('pytorch/vision:v0.7.0', 'deeplabv3_resnet50', pretrained=True) model.eval() scriptedm = torch.jit.script(model) torch.jit.save(scriptedm, "deeplabv3_scripted.pt") -The size of the generated `deeplabv3_scripted.pt` model file should be around 168MB. Ideally, a model should also be quantized for significant size reduction and faster inference before being deployed on an Android app. But not all models can be successfully or easily quantized at the time of the writing because quantization is still in beta. To have a general understanding of quantization, see the `Quantization Recipe <../recipes/quantization.html>`_ and the resource links there. We will cover in detail how to correctly apply a quantization workflow called Post Training `Static Quantization `_ to the DeepLabV3 model in a future tutorial or recipe. +The size of the generated `deeplabv3_scripted.pt` model file should be around 168MB. Ideally, a model should also be quantized for significant size reduction and faster inference before being deployed on an Android app. To have a general understanding of quantization, see the `Quantization Recipe <../recipes/quantization.html>`_ and the resource links there. We will cover in detail how to correctly apply a quantization workflow called Post Training `Static Quantization `_ to the DeepLabV3 model in a future tutorial or recipe. 2. Get example input and output of the model in Python ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -After you have a scripted PyTorch model, you need to test with some example input to make sure it works correctly on Android. To do that, you first need to write or reuse some Python script that uses the model to make inference and examine some example input and output. In the case of DeepLabV3, you can reuse some of the code in the model hub page above. Add the following code snippet to the code above: +Now that we have a scripted PyTorch model, let's test with some example inputs to make sure the model works correctly on Android. First, let's write a Python script that uses the model to make inferences and examine inputs and outputs. For this example of the DeepLabV3 model, we can reuse the code in Step 1 and in the `DeepLabV3 model hub site `_. Add the following code snippet to the code above: :: @@ -80,8 +82,7 @@ After you have a scripted PyTorch model, you need to test with some example inpu input_tensor = preprocess(input_image) input_batch = input_tensor.unsqueeze(0) with torch.no_grad(): - rslt = model(input_batch) - output = rslt['out'][0] + output = model(input_batch)['out'][0] print(input_batch.shape) print(output.shape) @@ -93,16 +94,16 @@ Download `deeplab.jpg` from `here `_ to create a new Android Studio project with PyTorch Mobile enabled. Because both DeepLabV3 used in this tutorial and MobileNet v2 used in the PyTorch HelloWorld Android example are computer vision models, you can also get the `HelloWorld example repo `_ to make it easier to modify the code that loads the model and processes the input and output. The main goal in this step and Step 4 is to make sure the model `deeplabv3_scripted.pt` generated in Step 1 can indeed work correctly on Android. +First, follow Step 3 of the `Model Preparation for Android recipe <../recipes/model_preparation_android.html#add-the-model-and-pytorch-library-on-android>`_ to use our model in an Android Studio project with PyTorch Mobile enabled. Because both DeepLabV3 used in this tutorial and MobileNet v2 used in the PyTorch HelloWorld Android example are computer vision models, you can also get the `HelloWorld example repo `_ to make it easier to modify the code that loads the model and processes the input and output. The main goal in this step and Step 4 is to make sure the model `deeplabv3_scripted.pt` generated in Step 1 can indeed work correctly on Android. -Now add `deeplabv3_scripted.pt` and `deeplab.jpg` used in Step 2 to the Android Studio project, make the `onCreate` method in the `MainActivity` contain the code snippet below: +Now let's add `deeplabv3_scripted.pt` and `deeplab.jpg` used in Step 2 to the Android Studio project and modify the `onCreate` method in the `MainActivity` to resemble: -:: +.. code-block:: java Module module = null; try { @@ -112,15 +113,14 @@ Now add `deeplabv3_scripted.pt` and `deeplab.jpg` used in Step 2 to the Android finish(); } -Then set a breakpoint at the line `finish()` and build and run the app. If the app does not stop at the breakpoint, you know the scripted model in Step 1 has been successfully loaded on Android. It is a great start, but you need to complete Step 4 before knowing for sure that the model actually works with real input on Android. If the app exits with the error `Error loading model!`, you need to go back to Step 1 to and check out the code and resources listed there to find out why. - +Then set a breakpoint at the line `finish()` and build and run the app. The app should stop at the breakpoint, meaning that the scripted model in Step 1 has been successfully loaded on Android. 4. Process the model input and output for model inference ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -After the model loads in the previous step, you need to verify that it works with expected inputs and can generate expected outputs. As the model input for the DeepLabV3 model is an image, the same as that of the MobileNet v2 in the HelloWorld example, you can reuse some of the code in the `MainActivity.java` file from HelloWorld for input processing. Your button click handler code in the `MainActivity.java` should look like this: +After the model loads in the previous step, let's verify that it works with expected inputs and can generate expected outputs. As the model input for the DeepLabV3 model is an image the same as that of the MobileNet v2 in the HelloWorld example, we will reuse some of the code in the `MainActivity.java `_ file from HelloWorld for input processing. Replace the button click handler code in `MainActivity.java` with the following code: -:: +.. code-block:: java final Tensor inputTensor = TensorImageUtils.bitmapToFloat32Tensor(bitmap, TensorImageUtils.TORCHVISION_NORM_MEAN_RGB, @@ -130,8 +130,8 @@ After the model loads in the previous step, you need to verify that it works wit Map outTensors = module.forward(IValue.from(inputTensor)).toDictStringKey(); - // as documented in https://pytorch.org/hub/pytorch_vision_deeplabv3_resnet101, // the key "out" of the output tensor contains the semantic masks + // see https://pytorch.org/hub/pytorch_vision_deeplabv3_resnet101 final Tensor outputTensor = outTensors.get("out").toTensor(); final float[] outputs = outputTensor.getDataAsFloatArray(); @@ -139,51 +139,53 @@ After the model loads in the previous step, you need to verify that it works wit int height = bitmap.getHeight(); .. note:: - The model output is a dictionary for the DeepLabV3 model, so we call `toDictStringKey` after the model `forward` call to correctly extract the result. The model output may also be a single tensor or a tuple of tensors, among other things, for other models. + The model output is a dictionary for the DeepLabV3 model, so we use `toDictStringKey` to correctly extract the result. The model output may also be a single tensor or a tuple of tensors, among other things, for other models. + +Set breakpoints at the lines after `final float[] inputs` and `final float[] outputs`, which populate the input tensor and output tensor data to float arrays for easy debugging. Run the app and when it stops at the breakpoints, compare the numbers in `inputs` and `outputs` with the model input and output data you see in Step 2 to see if they match. For the same inputs to the models running on Android and Python, you should get the same outputs. -Set breakpoints at the lines after `final float[] inputs` and `final float[] outputs`, which populate the input tensor and output tensor data to float arrays for easy debugging. Run the app and when it stops at the breakpoints, compare the numbers in `inputs` and `outputs` with the model input and output data you see in Step 2 to see if they match. If they do, you know for sure that the model works successfully on Android. If they do not match perfectly, it does not mean that the model fails to work correctly - as the output is a class probability distribution and as long as the distributions match, you will still get the right segmentation result - the best way to prove if this is the case is to complete the UI and the app to actually see the processed result as a new image. +.. warning:: + You may see different model outputs with the same image input when running on some Android emulator due to the emulator's floating point implementation. So it is best to test the app on a real Android device. -.. important:: - All we have done so far is to confirm that the model of our interest can be scripted and run correctly in our Android app as in Python. The steps involved so far for using a model in an Android app take a lot, if not most, of our app development time, just like the data pre-processing task involved in a typical machine learning project usually does. +All we have done so far is to confirm that the model of our interest can be scripted and run correctly in our Android app as in Python. The steps involved so far for using a model in an Android app take a lot, if not most, of our app development time, just like the data pre-processing task involved in a typical machine learning project usually does. 5. Complete the UI, refactor, build and run the app ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -The UI for this app is also similar to that for HelloWorld, except that you do not need the `TextView` to show the image classification result. Just change the button text and add another one to show back the original image after the segmentation result is shown. The output processing code should be like this, added to the end of the code snippet in Step 4: +Now we are ready to complete the UI and the app to actually see the processed result as a new image. The UI for this app is also similar to that for HelloWorld, except that you do not need the `TextView` to show the image classification result. Just change the button text and add another one to show back the original image after the segmentation result is shown. The output processing code should be like this, added to the end of the code snippet in Step 4: -:: +.. code-block:: java int[] intValues = new int[width * height]; - for (int i = 0; i < intValues.length; i++) { - intValues[i] = 0xFFFFFFFF; - } + // go through each element in the output of size [WIDTH, HEIGHT] and + // set different color for different classnum for (int j = 0; j < width; j++) { for (int k = 0; k < height; k++) { - int maxj = 0; - int maxk = 0; - int maxi = 0; + // maxi: the index of the 21 CLASSNUM with the max probability + int maxi = 0, maxj = 0, maxk = 0; double maxnum = -100000.0; for (int i=0; i < CLASSNUM; i++) { if (scores[i*(width*height) + j*width + k] > maxnum) { maxnum = scores[i*(width*height) + j*width + k]; - maxj = j; maxk= k; maxi = i; + maxi = i; maxj = j; maxk= k; } } + // color coding for person (red), dog (green), sheep (blue) + // black color for background and other classes if (maxi == PERSON) - intValues[maxj*width + maxk] = 0xFFFF0000; + intValues[maxj*width + maxk] = 0xFFFF0000; // red else if (maxi == DOG) - intValues[maxj*width + maxk] = 0xFF00FF00; + intValues[maxj*width + maxk] = 0xFF00FF00; // green else if (maxi == SHEEP) - intValues[maxj*width + maxk] = 0xFF0000FF; + intValues[maxj*width + maxk] = 0xFF0000FF; // blue else - intValues[maxj*width + maxk] = 0xFF000000; + intValues[maxj*width + maxk] = 0xFF000000; // black } } The constants used in the code above are defined in the beginning of the class `MainActivity`: -:: +.. code-block:: java private static final int CLASSNUM = 21; private static final int DOG = 12; @@ -191,11 +193,11 @@ The constants used in the code above are defined in the beginning of the class ` private static final int SHEEP = 17; -The implementation here is based on the understanding of the DeepLabV3 model, which outputs a tensor of size [21, 400, 400], as shown in Step 2. So for an input image of 400x400, each element in the 400x400 output array is a value between 0 and 20 (for a total of 21 semantic labels described in Introduction) and the value is used to set a specific color. +The implementation here is based on the understanding of the DeepLabV3 model, which outputs a tensor of size [21, width, height] for an input image of width*height. Each element in the width*height output array is a value between 0 and 20 (for a total of 21 semantic labels described in Introduction) and the value is used to set a specific color. Color coding of the segmentation here is based on the class with the highest probability, and you can extend the color coding for all classes in your own dataset. After the output processing, you will also need to call the code below to render the RGB `intValues` array to a bitmap instance `outputBitmap` before displaying it on an `ImageView`: -:: +.. code-block:: java Bitmap bmpSegmentation = Bitmap.createScaledBitmap(bitmap, width, height, true); Bitmap outputBitmap = bmpSegmentation.copy(bmpSegmentation.getConfig(), true); @@ -203,7 +205,7 @@ After the output processing, you will also need to call the code below to render outputBitmap.getWidth(), outputBitmap.getHeight()); imageView.setImageBitmap(outputBitmap); -Now build and run the app on an Android emulator or an actual device, and you will see the following screens: +Now build and run the app on an Android emulator or preferably an actual device, and you will see screens like the following: .. image:: /_static/img/deeplabv3_android.png :width: 300 px From 7c2e11f6d452c6f725712c6480bb927e31b68de7 Mon Sep 17 00:00:00 2001 From: Jeff Tang Date: Wed, 4 Nov 2020 16:55:46 -0800 Subject: [PATCH 17/18] further update on the iOS and Android segmentation tutorials --- beginner_source/deeplabv3_on_android.rst | 19 ++--- beginner_source/deeplabv3_on_ios.rst | 94 +++++++++++++----------- 2 files changed, 62 insertions(+), 51 deletions(-) diff --git a/beginner_source/deeplabv3_on_android.rst b/beginner_source/deeplabv3_on_android.rst index f9880e3128e..3b53ecbc5c7 100644 --- a/beginner_source/deeplabv3_on_android.rst +++ b/beginner_source/deeplabv3_on_android.rst @@ -118,7 +118,7 @@ Then set a breakpoint at the line `finish()` and build and run the app. The app 4. Process the model input and output for model inference ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -After the model loads in the previous step, let's verify that it works with expected inputs and can generate expected outputs. As the model input for the DeepLabV3 model is an image the same as that of the MobileNet v2 in the HelloWorld example, we will reuse some of the code in the `MainActivity.java `_ file from HelloWorld for input processing. Replace the button click handler code in `MainActivity.java` with the following code: +After the model loads in the previous step, let's verify that it works with expected inputs and can generate expected outputs. As the model input for the DeepLabV3 model is an image the same as that of the MobileNet v2 in the HelloWorld example, we will reuse some of the code in the `MainActivity.java `_ file from HelloWorld for input processing. Replace the code snippet between `line 50 `_ and 73 in `MainActivity.java` with the following code: .. code-block:: java @@ -139,20 +139,19 @@ After the model loads in the previous step, let's verify that it works with expe int height = bitmap.getHeight(); .. note:: - The model output is a dictionary for the DeepLabV3 model, so we use `toDictStringKey` to correctly extract the result. The model output may also be a single tensor or a tuple of tensors, among other things, for other models. + The model output is a dictionary for the DeepLabV3 model so we use `toDictStringKey` to correctly extract the result. For other models, the model output may also be a single tensor or a tuple of tensors, among other things. -Set breakpoints at the lines after `final float[] inputs` and `final float[] outputs`, which populate the input tensor and output tensor data to float arrays for easy debugging. Run the app and when it stops at the breakpoints, compare the numbers in `inputs` and `outputs` with the model input and output data you see in Step 2 to see if they match. For the same inputs to the models running on Android and Python, you should get the same outputs. +With the code changes shown above, you can set breakpoints after `final float[] inputs` and `final float[] outputs`, which populate the input tensor and output tensor data to float arrays for easy debugging. Run the app and when it stops at the breakpoints, compare the numbers in `inputs` and `outputs` with the model input and output data you see in Step 2 to see if they match. For the same inputs to the models running on Android and Python, you should get the same outputs. .. warning:: - You may see different model outputs with the same image input when running on some Android emulator due to the emulator's floating point implementation. So it is best to test the app on a real Android device. - -All we have done so far is to confirm that the model of our interest can be scripted and run correctly in our Android app as in Python. The steps involved so far for using a model in an Android app take a lot, if not most, of our app development time, just like the data pre-processing task involved in a typical machine learning project usually does. + You may see different model outputs with the same image input when running on an Android emulator due to some Android emulator's floating point implementation issue. So it is best to test the app on a real Android device. +All we have done so far is to confirm that the model of our interest can be scripted and run correctly in our Android app as in Python. The steps we walked through so far for using a model in an iOS app consumes the bulk, if not most, of our app development time, similar to how data preprocessing is the heaviest lift for a typical machine learning project. 5. Complete the UI, refactor, build and run the app ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -Now we are ready to complete the UI and the app to actually see the processed result as a new image. The UI for this app is also similar to that for HelloWorld, except that you do not need the `TextView` to show the image classification result. Just change the button text and add another one to show back the original image after the segmentation result is shown. The output processing code should be like this, added to the end of the code snippet in Step 4: +Now we are ready to complete the app and the UI to actually see the processed result as a new image. The output processing code should be like this, added to the end of the code snippet in Step 4: .. code-block:: java @@ -193,7 +192,7 @@ The constants used in the code above are defined in the beginning of the class ` private static final int SHEEP = 17; -The implementation here is based on the understanding of the DeepLabV3 model, which outputs a tensor of size [21, width, height] for an input image of width*height. Each element in the width*height output array is a value between 0 and 20 (for a total of 21 semantic labels described in Introduction) and the value is used to set a specific color. Color coding of the segmentation here is based on the class with the highest probability, and you can extend the color coding for all classes in your own dataset. +The implementation here is based on the understanding of the DeepLabV3 model which outputs a tensor of size [21, width, height] for an input image of width*height. Each element in the width*height output array is a value between 0 and 20 (for a total of 21 semantic labels described in Introduction) and the value is used to set a specific color. Color coding of the segmentation here is based on the class with the highest probability, and you can extend the color coding for all classes in your own dataset. After the output processing, you will also need to call the code below to render the RGB `intValues` array to a bitmap instance `outputBitmap` before displaying it on an `ImageView`: @@ -205,7 +204,9 @@ After the output processing, you will also need to call the code below to render outputBitmap.getWidth(), outputBitmap.getHeight()); imageView.setImageBitmap(outputBitmap); -Now build and run the app on an Android emulator or preferably an actual device, and you will see screens like the following: +The UI for this app is also similar to that for HelloWorld, except that you do not need the `TextView` to show the image classification result. You can also add two buttons `Segment` and `Restart` as shown in the code repo to run the model inference and to show back the original image after the segmentation result is shown. + +Now when you run the app on an Android emulator or preferably an actual device, you will see screens like the following: .. image:: /_static/img/deeplabv3_android.png :width: 300 px diff --git a/beginner_source/deeplabv3_on_ios.rst b/beginner_source/deeplabv3_on_ios.rst index 8ac4664fc95..f2922f7c71e 100644 --- a/beginner_source/deeplabv3_on_ios.rst +++ b/beginner_source/deeplabv3_on_ios.rst @@ -10,7 +10,7 @@ Introduction Semantic image segmentation is a computer vision task that uses semantic labels to mark specific regions of an input image. The PyTorch semantic image segmentation `DeepLabV3 model `_ can be used to label image regions with `20 semantic classes `_ including, for example, bicycle, bus, car, dog, and person. Image segmentation models can be very useful in applications such as autonomous driving and scene understanding. -In this tutorial, we will provide a step-by-step guide on how to prepare and run the PyTorch DeepLabV3 model on iOS, taking you from the beginning of having a model you may want to use on iOS to the end of having a complete iOS app using the model. We will also cover practical and general tips on how to check if your next favorable pre-trained PyTorch models can run on iOS, and how to avoid pitfalls. +In this tutorial, we will provide a step-by-step guide on how to prepare and run the PyTorch DeepLabV3 model on iOS, taking you from the beginning of having a model you may want to use on iOS to the end of having a complete iOS app using the model. We will also cover practical and general tips on how to check if your next favorite pre-trained PyTorch models can run on iOS, and how to avoid pitfalls. .. note:: Before going through this tutorial, you should check out `PyTorch Mobile for iOS `_ and give the PyTorch iOS `HelloWorld `_ example app a quick try. This tutorial will go beyond the image classification model, usually the first kind of model deployed on mobile. The complete code repo for this tutorial is available `here `_. @@ -134,57 +134,61 @@ After the model loads in the previous step, let's verify that it works with expe .. code-block:: objective-c - (unsigned char*)predictImage:(void*)imageBuffer { - try { - // 1. the original deeplab.jpg is of size 400x400, and the model uses 21 classes for semantic segmentation - const int WIDTH = 400; - const int HEIGHT = 400; - const int CLASSNUM = 21; - - at::Tensor tensor = torch::from_blob(imageBuffer, {1, 3, WIDTH, HEIGHT}, at::kFloat); - torch::autograd::AutoGradMode guard(false); - at::AutoNonVariableTypeMode non_var_type_mode(true); - - // 2. convert the input tensor to an NSMutableArray for debugging - float* floatInput = tensor.data_ptr(); - if (!floatInput) { - return nil; - } - NSMutableArray* inputs = [[NSMutableArray alloc] init]; - for (int i = 0; i < 3 * WIDTH * HEIGHT; i++) { - [inputs addObject:@(floatInput[i])]; - } + // 1. the example deeplab.jpg size is size 400x400 and there are 21 semantic classes + const int WIDTH = 400; + const int HEIGHT = 400; + const int CLASSNUM = 21; + + at::Tensor tensor = torch::from_blob(imageBuffer, {1, 3, WIDTH, HEIGHT}, at::kFloat); + torch::autograd::AutoGradMode guard(false); + at::AutoNonVariableTypeMode non_var_type_mode(true); + + // 2. convert the input tensor to an NSMutableArray for debugging + float* floatInput = tensor.data_ptr(); + if (!floatInput) { + return nil; + } + NSMutableArray* inputs = [[NSMutableArray alloc] init]; + for (int i = 0; i < 3 * WIDTH * HEIGHT; i++) { + [inputs addObject:@(floatInput[i])]; + } - // 3. the output of the model is a dictionary of string and tensor, as - // specified at https://pytorch.org/hub/pytorch_vision_deeplabv3_resnet101 - auto outputDict = _impl.forward({tensor}).toGenericDict(); + // 3. the output of the model is a dictionary of string and tensor, as + // specified at https://pytorch.org/hub/pytorch_vision_deeplabv3_resnet101 + auto outputDict = _impl.forward({tensor}).toGenericDict(); - // 4. convert the output to another NSMutableArray for easy debugging - auto outputTensor = outputDict.at("out").toTensor(); - float* floatBuffer = outputTensor.data_ptr(); - if (!floatBuffer) { - return nil; - } - NSMutableArray* results = [[NSMutableArray alloc] init]; - for (int i = 0; i < CLASSNUM * WIDTH * HEIGHT; i++) { - [results addObject:@(floatBuffer[i])]; - } + // 4. convert the output to another NSMutableArray for easy debugging + auto outputTensor = outputDict.at("out").toTensor(); + float* floatBuffer = outputTensor.data_ptr(); + if (!floatBuffer) { + return nil; + } + NSMutableArray* results = [[NSMutableArray alloc] init]; + for (int i = 0; i < CLASSNUM * WIDTH * HEIGHT; i++) { + [results addObject:@(floatBuffer[i])]; } .. note:: - The model output is a dictionary for the DeepLabV3 model, so we use `toGenericDict` to correctly extract the result. The model output may also be a single tensor or a tuple of tensors, among other things, for other models. + The model output is a dictionary for the DeepLabV3 model so we use `toGenericDict` to correctly extract the result. For other models, the model output may also be a single tensor or a tuple of tensors, among other things. -With the code changes shown above, you can set breakpoints after the two for loops that populate `inputs` and `results`, and compare them with the model input and output data you see in Step 2 to see if they match. For the same inputs to the models running on iOS and Python, you should get the same outputs. +With the code changes shown above, you can set breakpoints after the two for loops that populate `inputs` and `results` and compare them with the model input and output data you saw in Step 2 to see if they match. For the same inputs to the models running on iOS and Python, you should get the same outputs. -All we have done so far is to confirm that the model of our interest can be scripted and run correctly in our iOS app as in Python. The steps involved so far for using a model in an iOS app take a lot, if not most, of our app development time, just like the data pre-processing task involved in a typical machine learning project does. +All we have done so far is to confirm that the model of our interest can be scripted and run correctly in our iOS app as in Python. The steps we walked through so far for using a model in an iOS app consumes the bulk, if not most, of our app development time, similar to how data preprocessing is the heaviest lift for a typical machine learning project. 5. Complete the UI, refactor, build and run the app ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -Now we are ready to complete the UI and the app to actually see the processed result as a new image. The UI for this app is also similar to that for HelloWorld, except that you do not need the `UITextView` to show the image classification result. Just change the button text and add another one to show back the original image after the segmentation result is shown. The output processing code should be like this, added to the end of the code snippet in Step 4 in `TorchModule.mm`: +Now we are ready to complete the app and the UI to actually see the processed result as a new image. The output processing code should be like this, added to the end of the code snippet in Step 4 in `TorchModule.mm`: .. code-block:: objective-c - NSMutableData* data = [NSMutableData dataWithLength:sizeof(unsigned char) * 3 * width * height]; + // see the 20 semantic classes link in Introduction + const int DOG = 12; + const int PERSON = 15; + const int SHEEP = 17; + + NSMutableData* data = [NSMutableData dataWithLength: + sizeof(unsigned char) * 3 * WIDTH * HEIGHT]; unsigned char* buffer = (unsigned char*)[data mutableBytes]; // go through each element in the output of size [WIDTH, HEIGHT] and // set different color for different classnum @@ -205,14 +209,20 @@ Now we are ready to complete the UI and the app to actually see the processed re buffer[n] = 0; buffer[n+1] = 0; buffer[n+2] = 0; if (maxi == PERSON) buffer[n] = 255; else if (maxi == DOG) buffer[n+1] = 255; - else if (maxi == SHEEP) buffer[n+2] = 255; } + else if (maxi == SHEEP) buffer[n+2] = 255; + } } + return buffer; + +The implementation here is based on the understanding of the DeepLabV3 model which outputs a tensor of size [21, width, height] for an input image of width*height. Each element in the width*height output array is a value between 0 and 20 (for a total of 21 semantic labels described in Introduction) and the value is used to set a specific color. Color coding of the segmentation here is based on the class with the highest probability, and you can extend the color coding for all classes in your own dataset. + +After the output processing, you will also need to call a helper function to convert the RGB `buffer` to an `UIImage` instance to be shown on `UIImageView`. You can refer to the example code `convertRGBBufferToUIImage` defined in `UIImageHelper.mm` in the code repo. -The implementation here is based on the understanding of the DeepLabV3 model, which outputs a tensor of size [21, width, height] for an input image of width*height. Each element in the width*height output array is a value between 0 and 20 (for a total of 21 semantic labels described in Introduction) and the value is used to set a specific color. Color coding of the segmentation here is based on the class with the highest probability, and you can extend the color coding for all classes in your own dataset. +The UI for this app is also similar to that for HelloWorld, except that you do not need the `UITextView` to show the image classification result. You can also add two buttons `Segment` and `Restart` as shown in the code repo to run the model inference and to show back the original image after the segmentation result is shown. -After the output processing, you will also need to call a helper function `convertRGBBufferToUIImage` defined in the `UIImageHelper.mm` of the code repo to convert the RGB `buffer` to an `UIImage` instance to be shown on `UIImageView`. +The last step before we can run the app is to connect all the pieces together. Modify the `ViewController.swift` file to use the `predictImage`, which is refactored and changed to `segmentImage` in the repo, and helper functions you built as shown in the example code in the repo in `ViewController.swift`. Connect the buttons to the actions and you should be good to go. -Now just run the app on an iOS simulator or an actual iOS device, and you will see the following screens: +Now when you run the app on an iOS simulator or an actual iOS device, you will see the following screens: .. image:: /_static/img/deeplabv3_ios.png :width: 300 px From 9513689cfde4956162c539d8eaaf66fad95a95da Mon Sep 17 00:00:00 2001 From: Jeff Tang Date: Fri, 6 Nov 2020 10:24:21 -0800 Subject: [PATCH 18/18] minor and maybe final edits for two tutorials --- beginner_source/deeplabv3_on_android.rst | 6 +++--- beginner_source/deeplabv3_on_ios.rst | 5 ++++- 2 files changed, 7 insertions(+), 4 deletions(-) diff --git a/beginner_source/deeplabv3_on_android.rst b/beginner_source/deeplabv3_on_android.rst index 3b53ecbc5c7..25597b82dae 100644 --- a/beginner_source/deeplabv3_on_android.rst +++ b/beginner_source/deeplabv3_on_android.rst @@ -113,7 +113,7 @@ Now let's add `deeplabv3_scripted.pt` and `deeplab.jpg` used in Step 2 to the An finish(); } -Then set a breakpoint at the line `finish()` and build and run the app. The app should stop at the breakpoint, meaning that the scripted model in Step 1 has been successfully loaded on Android. +Then set a breakpoint at the line `finish()` and build and run the app. If the app doesn't stop at the breakpoint, it means that the scripted model in Step 1 has been successfully loaded on Android. 4. Process the model input and output for model inference ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ @@ -164,8 +164,8 @@ Now we are ready to complete the app and the UI to actually see the processed re int maxi = 0, maxj = 0, maxk = 0; double maxnum = -100000.0; for (int i=0; i < CLASSNUM; i++) { - if (scores[i*(width*height) + j*width + k] > maxnum) { - maxnum = scores[i*(width*height) + j*width + k]; + if (outputs[i*(width*height) + j*width + k] > maxnum) { + maxnum = outputs[i*(width*height) + j*width + k]; maxi = i; maxj = j; maxk= k; } } diff --git a/beginner_source/deeplabv3_on_ios.rst b/beginner_source/deeplabv3_on_ios.rst index f2922f7c71e..028f7373e09 100644 --- a/beginner_source/deeplabv3_on_ios.rst +++ b/beginner_source/deeplabv3_on_ios.rst @@ -168,6 +168,9 @@ After the model loads in the previous step, let's verify that it works with expe [results addObject:@(floatBuffer[i])]; } + return nil; + } + .. note:: The model output is a dictionary for the DeepLabV3 model so we use `toGenericDict` to correctly extract the result. For other models, the model output may also be a single tensor or a tuple of tensors, among other things. @@ -178,7 +181,7 @@ All we have done so far is to confirm that the model of our interest can be scri 5. Complete the UI, refactor, build and run the app ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -Now we are ready to complete the app and the UI to actually see the processed result as a new image. The output processing code should be like this, added to the end of the code snippet in Step 4 in `TorchModule.mm`: +Now we are ready to complete the app and the UI to actually see the processed result as a new image. The output processing code should be like this, added to the end of the code snippet in Step 4 in `TorchModule.mm` - remember to first remove the line `return nil;` temporarily put there to make the code build and run: .. code-block:: objective-c

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