Merge branch 'main' into mps_in_basic_examples

Author: alvaropp

.circleci/config.yml

@@ -181,6 +181,9 @@ pytorch_windows_build_worker: &pytorch_windows_build_worker
           - beginner_source/data
           - intermediate_source/data
           - prototype_source/data
+    - store_artifacts:
+        path: ./docs/build/html
+        destination: docs
 
 jobs:
   pytorch_tutorial_pr_build_manager:

.circleci/config.yml.in

@@ -181,6 +181,9 @@ pytorch_windows_build_worker: &pytorch_windows_build_worker
           - beginner_source/data
           - intermediate_source/data
           - prototype_source/data
+    - store_artifacts:
+        path: ./docs/build/html
+        destination: docs
 {% endraw %}
 jobs:
   {{ jobs("pr") }}

advanced_source/cpp_frontend.rst

@@ -946,9 +946,9 @@ we use implement the `Adam <https://arxiv.org/pdf/1412.6980.pdf>`_ algorithm:
 .. code-block:: cpp
 
   torch::optim::Adam generator_optimizer(
-      generator->parameters(), torch::optim::AdamOptions(2e-4).beta1(0.5));
+      generator->parameters(), torch::optim::AdamOptions(2e-4).betas(std::make_tuple(0.5, 0.5)));
   torch::optim::Adam discriminator_optimizer(
-      discriminator->parameters(), torch::optim::AdamOptions(5e-4).beta1(0.5));
+      discriminator->parameters(), torch::optim::AdamOptions(5e-4).betas(std::make_tuple(0.5, 0.5)));
 
 .. note::
 

beginner_source/flava_finetuning_tutorial.py

@@ -172,7 +172,7 @@ def transform(tokenizer, input):
     loss.backward()
     optimizer.step()
     print(f"Loss at step {idx} = {loss}")
-    if idx > MAX_STEPS-1:
+    if idx >= MAX_STEPS-1:
       break