[0.7.1] DO NOT MERGE, Getting signal for release/0.7 branch #1055
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* Make removal version explicit for sox deprecations * Move SoxEffectsChain deprecation into `__init__` and use plain `wranings.warn`, to avoid documentation build issue.
Adds introductory context and links to the PyTorch Libraries to audio docs. Co-authored-by: Brian Johnson <[email protected]>
Currently `libsox` on Linux is compiled with GPU OpenMP and it interferes with the version PyTorch uses (Intel in case of binary distribution). This PR disables OpenMP support for `libsox`, while we investigate the way to use the same OpenMP as PyTorch's version.
no longer allow to download the dataset directly. deprecate: download and url. add language.
* bump version to 0.7.1 * Checkout changes from the latest
Signed-off-by: Eli Uriegas <[email protected]>
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* Add TorchScript fork/join tutorial * Add note about zipfile format in serialization tutorial * Profiler recipe (pytorch#1019) * Profiler recipe Summary: Adding a recipe for profiler Test Plan: make html-noplot * [mobile] Mobile Perf Recipe * Minor syntax edits to mobile perf recipe * Remove built files * [android] android native app recipe * [mobile_perf][recipe] Add ChannelsLast recommendation * Adding distributed pipeline parallel tutorial * Add async execution tutorials * Fix code block in pipeline tutorial * Adding an Overview Page for PyTorch Distributed (pytorch#1056) * Adding an Overview Page for PyTorch Distributed * Let existing PT Distributed tutorials link to the overview page * Add a link to AMP * Address Comments * Remove unnecessary dist.barrier() * [Mobile Perf Recipe] Add the benchmarking part for iOS (pytorch#1055) * [Mobile Perf Recipe] Add the benchmarking part for iOS * [Mobile Perf Recipe] Add the benchmarking part for iOS Co-authored-by: Jessica Lin <[email protected]> * RPC profiling recipe (pytorch#1068) * Initial commit * Update * Complete most of recipe * Add image * Link image * Remove extra file * update * Update * update * Push latest changes from master into release/1.6 (pytorch#1074) * Update feature classification labels * Update NVidia -> Nvidia * Bring back default filename_pattern so that by default we run all galleries. Signed-off-by: Edward Z. Yang <[email protected]> * Add prototype_source directory * Add prototype directory * Add prototype * Remove extra "done" * Add REAME.txt * Update for prototype instructions * Update for prototype feature * refine torchvision_tutorial doc for windows * Update neural_style_tutorial.py (pytorch#1059) Updated the mistake in the Loading Images Section. * torch_script_custom_ops restructure (pytorch#1057) Signed-off-by: Edward Z. Yang <[email protected]> * Port custom ops tutorial to new registration API, increase testability. Signed-off-by: Edward Z. Yang <[email protected]> * Kill some other occurrences of RegisterOperators Signed-off-by: Edward Z. Yang <[email protected]> * Update README.md * Make torch_script_custom_classes tutorial runnable I also fixed some warnings in the tutorial, and fixed some minor bitrot (e.g., torch::script::Module to torch::jit::Module) I also added some missing quotes around some bash expansions. Signed-off-by: Edward Z. Yang <[email protected]> * Update torch_script_custom_classes to use TORCH_LIBRARY (pytorch#1062) Signed-off-by: Edward Z. Yang <[email protected]> Co-authored-by: Edward Z. Yang <[email protected]> Co-authored-by: Yang Gu <[email protected]> Co-authored-by: Hritik Bhandari <[email protected]> * Tutorial for DDP + RPC (pytorch#1071) * Update feature classification labels * Update NVidia -> Nvidia * Bring back default filename_pattern so that by default we run all galleries. Signed-off-by: Edward Z. Yang <[email protected]> * Tutorial for DDP + RPC. Summary: Based on example from pytorch/examples#800 * Add to main section Summary: Test Plan: Reviewers: Subscribers: Tasks: Tags: * Added separate code file and used literalinclude Summary: Test Plan: Reviewers: Subscribers: Tasks: Tags: Co-authored-by: Jessica Lin <[email protected]> Co-authored-by: Edward Z. Yang <[email protected]> Co-authored-by: pritam <[email protected]> * Make RPC profiling recipe into prototype tutorial (pytorch#1078) * Add RPC tutorial * Update to include recipes * Add Graph Mode Dynamic Quant tutorial (pytorch#1065) * Update feature classification labels * Update NVidia -> Nvidia * Bring back default filename_pattern so that by default we run all galleries. Signed-off-by: Edward Z. Yang <[email protected]> * Add prototype_source directory * Add prototype directory * Add prototype * Remove extra "done" * Add REAME.txt * Update for prototype instructions * Update for prototype feature * refine torchvision_tutorial doc for windows * Update neural_style_tutorial.py (pytorch#1059) Updated the mistake in the Loading Images Section. * torch_script_custom_ops restructure (pytorch#1057) Signed-off-by: Edward Z. Yang <[email protected]> * Port custom ops tutorial to new registration API, increase testability. Signed-off-by: Edward Z. Yang <[email protected]> * Kill some other occurrences of RegisterOperators Signed-off-by: Edward Z. Yang <[email protected]> * Update README.md * Make torch_script_custom_classes tutorial runnable I also fixed some warnings in the tutorial, and fixed some minor bitrot (e.g., torch::script::Module to torch::jit::Module) I also added some missing quotes around some bash expansions. Signed-off-by: Edward Z. Yang <[email protected]> * Update torch_script_custom_classes to use TORCH_LIBRARY (pytorch#1062) Signed-off-by: Edward Z. Yang <[email protected]> * Add Graph Mode Dynamic Quant tutorial Summary: Tutorial to demonstrate graph mode dynamic quant on BERT model. Currently not directly runnable as it requires to download glue dataset and fine-tuned model Co-authored-by: Jessica Lin <[email protected]> Co-authored-by: Edward Z. Yang <[email protected]> Co-authored-by: Yang Gu <[email protected]> Co-authored-by: Hritik Bhandari <[email protected]> * Add mobile recipes images * Update mobile recipe index * Remove RPC Profiling recipe from index * 1.6 model freezing tutorial (pytorch#1077) * Update feature classification labels * Update NVidia -> Nvidia * Bring back default filename_pattern so that by default we run all galleries. Signed-off-by: Edward Z. Yang <[email protected]> * Add prototype_source directory * Add prototype directory * Add prototype * Remove extra "done" * Add REAME.txt * Update for prototype instructions * Update for prototype feature * refine torchvision_tutorial doc for windows * Update neural_style_tutorial.py (pytorch#1059) Updated the mistake in the Loading Images Section. * torch_script_custom_ops restructure (pytorch#1057) Signed-off-by: Edward Z. Yang <[email protected]> * Port custom ops tutorial to new registration API, increase testability. Signed-off-by: Edward Z. Yang <[email protected]> * Kill some other occurrences of RegisterOperators Signed-off-by: Edward Z. Yang <[email protected]> * Update README.md * Make torch_script_custom_classes tutorial runnable I also fixed some warnings in the tutorial, and fixed some minor bitrot (e.g., torch::script::Module to torch::jit::Module) I also added some missing quotes around some bash expansions. Signed-off-by: Edward Z. Yang <[email protected]> * Update torch_script_custom_classes to use TORCH_LIBRARY (pytorch#1062) Signed-off-by: Edward Z. Yang <[email protected]> * Add Model Freezing in TorchScript Co-authored-by: Edward Z. Yang <[email protected]> Co-authored-by: Yang Gu <[email protected]> Co-authored-by: Hritik Bhandari <[email protected]> * Update title * Update recipes_index.rst Touch for rebuild. * Update dcgan_faces_tutorial.py Update labels to be floats to work around torch.full inference change. Co-authored-by: James Reed <[email protected]> Co-authored-by: ilia-cher <[email protected]> Co-authored-by: Ivan Kobzarev <[email protected]> Co-authored-by: Shen Li <[email protected]> Co-authored-by: Shen Li <[email protected]> Co-authored-by: Tao Xu <[email protected]> Co-authored-by: Rohan Varma <[email protected]> Co-authored-by: Edward Z. Yang <[email protected]> Co-authored-by: Yang Gu <[email protected]> Co-authored-by: Hritik Bhandari <[email protected]> Co-authored-by: Pritam Damania <[email protected]> Co-authored-by: pritam <[email protected]> Co-authored-by: supriyar <[email protected]> Co-authored-by: Brian Johnson <[email protected]> Co-authored-by: gchanan <[email protected]>
mthrok
pushed a commit
to mthrok/audio
that referenced
this pull request
Feb 26, 2021
* Add TorchScript fork/join tutorial * Add note about zipfile format in serialization tutorial * Profiler recipe (pytorch#1019) * Profiler recipe Summary: Adding a recipe for profiler Test Plan: make html-noplot * [mobile] Mobile Perf Recipe * Minor syntax edits to mobile perf recipe * Remove built files * [android] android native app recipe * [mobile_perf][recipe] Add ChannelsLast recommendation * Adding distributed pipeline parallel tutorial * Add async execution tutorials * Fix code block in pipeline tutorial * Adding an Overview Page for PyTorch Distributed (pytorch#1056) * Adding an Overview Page for PyTorch Distributed * Let existing PT Distributed tutorials link to the overview page * Add a link to AMP * Address Comments * Remove unnecessary dist.barrier() * [Mobile Perf Recipe] Add the benchmarking part for iOS (pytorch#1055) * [Mobile Perf Recipe] Add the benchmarking part for iOS * [Mobile Perf Recipe] Add the benchmarking part for iOS Co-authored-by: Jessica Lin <[email protected]> * Add files via upload * Create numeric_suite_tutorial.py * jlin27_numeric_suite_tutorial Made some syntax edits because original headings were not rendering properly and breaking the build: - Removed the lines of pound sign (#) delimiters under text because when placed under text, it renders them all as headers - Add lines of pound delimiters above certain blocks of text to force them to show up as plain text between the code rather than comments with the code - Added code syntax (e.g.``compare_weights``) Suggestions: - Link to code or documentation (for example in the beginning when referencing new code or new concepts) - Add a conclusion section with links to references or learn more at the end - Examples: https://pytorch.org/tutorials/intermediate/dynamic_quantization_bert_tutorial.html#conclusion Fixes: - Currently the tutorial references images in `/_static/img/` but they are placed in `/_static/`. Make sure these match up. * Delete compare_output.png * Delete compare_stub.png * Delete shadow.png * Add files via upload * RPC profiling recipe (pytorch#1068) * Initial commit * Update * Complete most of recipe * Add image * Link image * Remove extra file * update * Update * update * Update numeric_suite_tutorial.py * Update numeric_suite_tutorial.py * Push latest changes from master into release/1.6 (pytorch#1074) * Update feature classification labels * Update NVidia -> Nvidia * Bring back default filename_pattern so that by default we run all galleries. Signed-off-by: Edward Z. Yang <[email protected]> * Add prototype_source directory * Add prototype directory * Add prototype * Remove extra "done" * Add REAME.txt * Update for prototype instructions * Update for prototype feature * refine torchvision_tutorial doc for windows * Update neural_style_tutorial.py (pytorch#1059) Updated the mistake in the Loading Images Section. * torch_script_custom_ops restructure (pytorch#1057) Signed-off-by: Edward Z. Yang <[email protected]> * Port custom ops tutorial to new registration API, increase testability. Signed-off-by: Edward Z. Yang <[email protected]> * Kill some other occurrences of RegisterOperators Signed-off-by: Edward Z. Yang <[email protected]> * Update README.md * Make torch_script_custom_classes tutorial runnable I also fixed some warnings in the tutorial, and fixed some minor bitrot (e.g., torch::script::Module to torch::jit::Module) I also added some missing quotes around some bash expansions. Signed-off-by: Edward Z. Yang <[email protected]> * Update torch_script_custom_classes to use TORCH_LIBRARY (pytorch#1062) Signed-off-by: Edward Z. Yang <[email protected]> Co-authored-by: Edward Z. Yang <[email protected]> Co-authored-by: Yang Gu <[email protected]> Co-authored-by: Hritik Bhandari <[email protected]> * Tutorial for DDP + RPC (pytorch#1071) * Update feature classification labels * Update NVidia -> Nvidia * Bring back default filename_pattern so that by default we run all galleries. Signed-off-by: Edward Z. Yang <[email protected]> * Tutorial for DDP + RPC. Summary: Based on example from pytorch/examples#800 * Add to main section Summary: Test Plan: Reviewers: Subscribers: Tasks: Tags: * Added separate code file and used literalinclude Summary: Test Plan: Reviewers: Subscribers: Tasks: Tags: Co-authored-by: Jessica Lin <[email protected]> Co-authored-by: Edward Z. Yang <[email protected]> Co-authored-by: pritam <[email protected]> * Make RPC profiling recipe into prototype tutorial (pytorch#1078) * Add RPC tutorial * Update to include recipes * Add Graph Mode Dynamic Quant tutorial (pytorch#1065) * Update feature classification labels * Update NVidia -> Nvidia * Bring back default filename_pattern so that by default we run all galleries. Signed-off-by: Edward Z. Yang <[email protected]> * Add prototype_source directory * Add prototype directory * Add prototype * Remove extra "done" * Add REAME.txt * Update for prototype instructions * Update for prototype feature * refine torchvision_tutorial doc for windows * Update neural_style_tutorial.py (pytorch#1059) Updated the mistake in the Loading Images Section. * torch_script_custom_ops restructure (pytorch#1057) Signed-off-by: Edward Z. Yang <[email protected]> * Port custom ops tutorial to new registration API, increase testability. Signed-off-by: Edward Z. Yang <[email protected]> * Kill some other occurrences of RegisterOperators Signed-off-by: Edward Z. Yang <[email protected]> * Update README.md * Make torch_script_custom_classes tutorial runnable I also fixed some warnings in the tutorial, and fixed some minor bitrot (e.g., torch::script::Module to torch::jit::Module) I also added some missing quotes around some bash expansions. Signed-off-by: Edward Z. Yang <[email protected]> * Update torch_script_custom_classes to use TORCH_LIBRARY (pytorch#1062) Signed-off-by: Edward Z. Yang <[email protected]> * Add Graph Mode Dynamic Quant tutorial Summary: Tutorial to demonstrate graph mode dynamic quant on BERT model. Currently not directly runnable as it requires to download glue dataset and fine-tuned model Co-authored-by: Jessica Lin <[email protected]> Co-authored-by: Edward Z. Yang <[email protected]> Co-authored-by: Yang Gu <[email protected]> Co-authored-by: Hritik Bhandari <[email protected]> * Add mobile recipes images * Update mobile recipe index * Remove RPC Profiling recipe from index * 1.6 model freezing tutorial (pytorch#1077) * Update feature classification labels * Update NVidia -> Nvidia * Bring back default filename_pattern so that by default we run all galleries. Signed-off-by: Edward Z. Yang <[email protected]> * Add prototype_source directory * Add prototype directory * Add prototype * Remove extra "done" * Add REAME.txt * Update for prototype instructions * Update for prototype feature * refine torchvision_tutorial doc for windows * Update neural_style_tutorial.py (pytorch#1059) Updated the mistake in the Loading Images Section. * torch_script_custom_ops restructure (pytorch#1057) Signed-off-by: Edward Z. Yang <[email protected]> * Port custom ops tutorial to new registration API, increase testability. Signed-off-by: Edward Z. Yang <[email protected]> * Kill some other occurrences of RegisterOperators Signed-off-by: Edward Z. Yang <[email protected]> * Update README.md * Make torch_script_custom_classes tutorial runnable I also fixed some warnings in the tutorial, and fixed some minor bitrot (e.g., torch::script::Module to torch::jit::Module) I also added some missing quotes around some bash expansions. Signed-off-by: Edward Z. Yang <[email protected]> * Update torch_script_custom_classes to use TORCH_LIBRARY (pytorch#1062) Signed-off-by: Edward Z. Yang <[email protected]> * Add Model Freezing in TorchScript Co-authored-by: Edward Z. Yang <[email protected]> Co-authored-by: Yang Gu <[email protected]> Co-authored-by: Hritik Bhandari <[email protected]> Co-authored-by: James Reed <[email protected]> Co-authored-by: Jessica Lin <[email protected]> Co-authored-by: ilia-cher <[email protected]> Co-authored-by: Ivan Kobzarev <[email protected]> Co-authored-by: Shen Li <[email protected]> Co-authored-by: Shen Li <[email protected]> Co-authored-by: Tao Xu <[email protected]> Co-authored-by: Rohan Varma <[email protected]> Co-authored-by: Edward Z. Yang <[email protected]> Co-authored-by: Yang Gu <[email protected]> Co-authored-by: Hritik Bhandari <[email protected]> Co-authored-by: Pritam Damania <[email protected]> Co-authored-by: pritam <[email protected]> Co-authored-by: supriyar <[email protected]> Co-authored-by: Jessica Lin <[email protected]>
mthrok
pushed a commit
to mthrok/audio
that referenced
this pull request
Feb 26, 2021
* Add TorchScript fork/join tutorial * Add note about zipfile format in serialization tutorial * Profiler recipe (pytorch#1019) * Profiler recipe Summary: Adding a recipe for profiler Test Plan: make html-noplot * [mobile] Mobile Perf Recipe * Minor syntax edits to mobile perf recipe * Remove built files * [android] android native app recipe * [mobile_perf][recipe] Add ChannelsLast recommendation * Adding distributed pipeline parallel tutorial * Add async execution tutorials * Fix code block in pipeline tutorial * Adding an Overview Page for PyTorch Distributed (pytorch#1056) * Adding an Overview Page for PyTorch Distributed * Let existing PT Distributed tutorials link to the overview page * Add a link to AMP * Address Comments * Remove unnecessary dist.barrier() * [Mobile Perf Recipe] Add the benchmarking part for iOS (pytorch#1055) * [Mobile Perf Recipe] Add the benchmarking part for iOS * [Mobile Perf Recipe] Add the benchmarking part for iOS Co-authored-by: Jessica Lin <[email protected]> * Graph mode static quantization tutorial * RPC profiling recipe (pytorch#1068) * Initial commit * Update * Complete most of recipe * Add image * Link image * Remove extra file * update * Update * update * Push latest changes from master into release/1.6 (pytorch#1074) * Update feature classification labels * Update NVidia -> Nvidia * Bring back default filename_pattern so that by default we run all galleries. Signed-off-by: Edward Z. Yang <[email protected]> * Add prototype_source directory * Add prototype directory * Add prototype * Remove extra "done" * Add REAME.txt * Update for prototype instructions * Update for prototype feature * refine torchvision_tutorial doc for windows * Update neural_style_tutorial.py (pytorch#1059) Updated the mistake in the Loading Images Section. * torch_script_custom_ops restructure (pytorch#1057) Signed-off-by: Edward Z. Yang <[email protected]> * Port custom ops tutorial to new registration API, increase testability. Signed-off-by: Edward Z. Yang <[email protected]> * Kill some other occurrences of RegisterOperators Signed-off-by: Edward Z. Yang <[email protected]> * Update README.md * Make torch_script_custom_classes tutorial runnable I also fixed some warnings in the tutorial, and fixed some minor bitrot (e.g., torch::script::Module to torch::jit::Module) I also added some missing quotes around some bash expansions. Signed-off-by: Edward Z. Yang <[email protected]> * Update torch_script_custom_classes to use TORCH_LIBRARY (pytorch#1062) Signed-off-by: Edward Z. Yang <[email protected]> Co-authored-by: Edward Z. Yang <[email protected]> Co-authored-by: Yang Gu <[email protected]> Co-authored-by: Hritik Bhandari <[email protected]> * Tutorial for DDP + RPC (pytorch#1071) * Update feature classification labels * Update NVidia -> Nvidia * Bring back default filename_pattern so that by default we run all galleries. Signed-off-by: Edward Z. Yang <[email protected]> * Tutorial for DDP + RPC. Summary: Based on example from pytorch/examples#800 * Add to main section Summary: Test Plan: Reviewers: Subscribers: Tasks: Tags: * Added separate code file and used literalinclude Summary: Test Plan: Reviewers: Subscribers: Tasks: Tags: Co-authored-by: Jessica Lin <[email protected]> Co-authored-by: Edward Z. Yang <[email protected]> Co-authored-by: pritam <[email protected]> * Make RPC profiling recipe into prototype tutorial (pytorch#1078) * Add RPC tutorial * Update to include recipes * Graph mode static quantization tutorial Co-authored-by: James Reed <[email protected]> Co-authored-by: Jessica Lin <[email protected]> Co-authored-by: ilia-cher <[email protected]> Co-authored-by: Ivan Kobzarev <[email protected]> Co-authored-by: Shen Li <[email protected]> Co-authored-by: Shen Li <[email protected]> Co-authored-by: Tao Xu <[email protected]> Co-authored-by: Rohan Varma <[email protected]> Co-authored-by: Edward Z. Yang <[email protected]> Co-authored-by: Yang Gu <[email protected]> Co-authored-by: Hritik Bhandari <[email protected]> Co-authored-by: Pritam Damania <[email protected]> Co-authored-by: pritam <[email protected]>
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