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‎_images/sphx_glr_char_rnn_classification_tutorial_001.png

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‎_sources/advanced/dynamic_quantization_tutorial.rst.txt

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.. code-block:: none
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loss: 5.167
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loss: 5.168
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.. rst-class:: sphx-glr-timing
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.. _sphx_glr_download_advanced_dynamic_quantization_tutorial.py:

‎_sources/advanced/neural_style_tutorial.rst.txt

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Downloading: "https://download.pytorch.org/models/vgg19-dcbb9e9d.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/vgg19-dcbb9e9d.pth
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.. _sphx_glr_download_advanced_neural_style_tutorial.py:

‎_sources/advanced/numpy_extensions_tutorial.rst.txt

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.. _sphx_glr_download_advanced_numpy_extensions_tutorial.py:

‎_sources/beginner/Intro_to_TorchScript_tutorial.rst.txt

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.. code-block:: none
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(tensor([[0.8165, 0.8095, 0.8730, 0.5934],
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.. _sphx_glr_download_beginner_Intro_to_TorchScript_tutorial.py:

‎_sources/beginner/basics/autogradqs_tutorial.rst.txt

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Gradient function for z = <AddBackward0 object at 0x7f39246d8940>
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Gradient function for loss = <BinaryCrossEntropyWithLogitsBackward0 object at 0x7f391e3f5330>
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Gradient function for z = <AddBackward0 object at 0x7f35a2a1aaa0>
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Gradient function for loss = <BinaryCrossEntropyWithLogitsBackward0 object at 0x7f35a2a1b880>
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.. code-block:: none
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tensor([[0.1300, 0.2960, 0.0747],
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[0.1300, 0.2960, 0.0747],
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[0.1300, 0.2960, 0.0747],
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[0.1300, 0.2960, 0.0747],
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tensor([0.1300, 0.2960, 0.0747])
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tensor([[0.2580, 0.0904, 0.2344],
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[0.2580, 0.0904, 0.2344],
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[0.2580, 0.0904, 0.2344],
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[0.2580, 0.0904, 0.2344],
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[0.2580, 0.0904, 0.2344]])
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tensor([0.2580, 0.0904, 0.2344])
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@@ -395,7 +395,7 @@ Further Reading
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 0 minutes 0.026 seconds)
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**Total running time of the script:** ( 0 minutes 0.021 seconds)
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.. _sphx_glr_download_beginner_basics_autogradqs_tutorial.py:

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