Rewrite documentation on torch.autograd.backward()#1596
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ezyang wants to merge 2 commits intopytorch:masterfrom
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Rewrite documentation on torch.autograd.backward()#1596ezyang wants to merge 2 commits intopytorch:masterfrom
ezyang wants to merge 2 commits intopytorch:masterfrom
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Signed-off-by: Edward Z. Yang <ezyang@fb.com>
CC @apaszke Signed-off-by: Edward Z. Yang <ezyang@fb.com>
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I think that these notes should go somewhere in docs/source/autograd.rst and then you should put a link from the docs to this section. Then, you can expand it even further if you want. Also, use :math: and LaTeX for equations.
| are equivalent:: | ||
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| >>> torch.autograd.backwards(variables) | ||
| >>> torch.autograd.backwards([sum(variables)]) |
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| each variable records the gradient, or ``None`` if the gradient is | ||
| not needed. | ||
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| This function accumulates gradients in the leaves - you might need |
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| We don't make this assumption for non-scalar variables; instead, if | ||
| these variables are involved in the computation of the gradient, you | ||
| must explicitly provide the gradient. Assuming that ``f`` is a |
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…002d19 Summary: Previous import was 882c5283c54345d131e8fe5c859e4844dcf7ca8e Included changes: - **[f461f7a](onnx/onnx@f461f7a)**: Show the op's type and name when the shape inference is failed. (pytorch#1623) <Jerry> - **[ab8aaf9](onnx/onnx@ab8aaf9)**: Add scan test case (pytorch#1586) <G. Ramalingam> - **[c95357e](onnx/onnx@c95357e)**: link the tutorial (pytorch#1650) <Lu Fang> - **[d7e2420](onnx/onnx@d7e2420)**: Upgrade label encoder to support more input types (pytorch#1596) <Wei-Sheng Chin> - **[6425108](onnx/onnx@6425108)**: Add Doc about Adding New Operator into ONNX (pytorch#1647) <Lu Fang> - **[295889c](onnx/onnx@295889c)**: use an empty initializer to create map (pytorch#1643) <Lu Fang> - **[e38f3ec](onnx/onnx@e38f3ec)**: Remove redundant const (pytorch#1639) <daquexian> - **[ea694bf](onnx/onnx@ea694bf)**: implement fuse reduce->unsqueeze + fix assumption in nop_dropout pass (pytorch#1565) <Armen> - **[6db386e](onnx/onnx@6db386e)**: make output shape clear enough for Softmax family (pytorch#1634) <Lu Fang> - **[2b67c6e](onnx/onnx@2b67c6e)**: fix batchnorm doc (pytorch#1633) <Lu Fang> - **[c901784](onnx/onnx@c901784)**: remove inappropriate consts (pytorch#1632) <Lu Fang> - **[de82119](onnx/onnx@de82119)**: Shape inference fix for broadcast, concat and scan (pytorch#1594) <KeDengMS> - **[d7ffe3b](onnx/onnx@d7ffe3b)**: Update Optimizer Docs (pytorch#1607) <Armen> - **[d09d139](onnx/onnx@d09d139)**: mark PROTOBUF_INCLUDE_DIRS as BUILD_INTERFACE (pytorch#1466) <Yuta Okamoto> - **[eb4b7c2](onnx/onnx@eb4b7c2)**: allow variadic parameters of different types (pytorch#1615) <G. Ramalingam> - **[4166246](onnx/onnx@4166246)**: Fix onnxifi test (pytorch#1617) <Yinghai Lu> - **[6706a4d](onnx/onnx@6706a4d)**: Fix a bug in vector address access (pytorch#1598) <Raymond Yang> - **[ae39866](onnx/onnx@ae39866)**: Separate types of inputs 1 and 2 in OneHot op. (pytorch#1610) <Spandan Tiwari> - **[45ba661](onnx/onnx@45ba661)**: Handle new types in the switch. (pytorch#1608) <Dmitri Smirnov> - **[14853b6](onnx/onnx@14853b6)**: Bump docker image version to 230 used in CircleCI (pytorch#1606) <bddppq> - **[e0993b8](onnx/onnx@e0993b8)**: [onnxifi] Make sure that backend handles run async. (pytorch#1599) <Roman Dzhabarov> - **[e6965cc](onnx/onnx@e6965cc)**: Introduce SparseTensor ML proto (pytorch#1554) <Dmitri Smirnov> - **[75b782f](onnx/onnx@75b782f)**: In driver test check the return status of onnxGetBackendIDs (pytorch#1597) <bddppq> - **[c05b364](onnx/onnx@c05b364)**: Make CI log less verbose (pytorch#1595) <bddppq> - **[fa568e4](onnx/onnx@fa568e4)**: Loop type shape inferencing (pytorch#1591) <Scott McKay> - **[937e64c](onnx/onnx@937e64c)**: add uint8 (pytorch#1590) <Lu Fang> - **[f86e951](onnx/onnx@f86e951)**: Add domain as an optional parameter for make_node function (pytorch#1588) <Young Kim> - **[ff45588](onnx/onnx@ff45588)**: Remove unreachable code in shape_inference.h (pytorch#1585) <Changming Sun> - **[f7dcad0](onnx/onnx@f7dcad0)**: Add several hyperbolic function ops. (pytorch#1499) <Sergii Dymchenko> - **[a60ac7d](onnx/onnx@a60ac7d)**: Add OneHot op to ONNX. (pytorch#1567) <Spandan Tiwari> - **[f6c3a7e](onnx/onnx@f6c3a7e)**: [compiler flag] Issue a warning if class has virtual method but missing virtual dtor. (pytorch#1583) <Roman Dzhabarov> - **[88d1784](onnx/onnx@88d1784)**: Fix MaxUnpool shape inference when output_shape is provided as input (pytorch#1578) <Spandan Tiwari> - **[20041b7](onnx/onnx@20041b7)**: Add type shape inferencing for the If operator (pytorch#1571) <Scott McKay> - **[d6c4c75](onnx/onnx@d6c4c75)**: Add a virtual destructor to GraphInferencer (pytorch#1574) <Changming Sun> - **[a339598](onnx/onnx@a339598)**: fix ConvTranspose spec (pytorch#1566) <Wenhao Hu> Differential Revision: D13263831 fbshipit-source-id: 0c158dd12c45d704b6f37f63f3d74ed34ef2f534
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…002d19 (#14568) Summary: Pull Request resolved: #14568 Previous import was 882c5283c54345d131e8fe5c859e4844dcf7ca8e Included changes: - **[f461f7a](onnx/onnx@f461f7a)**: Show the op's type and name when the shape inference is failed. (#1623) <Jerry> - **[ab8aaf9](onnx/onnx@ab8aaf9)**: Add scan test case (#1586) <G. Ramalingam> - **[c95357e](onnx/onnx@c95357e)**: link the tutorial (#1650) <Lu Fang> - **[d7e2420](onnx/onnx@d7e2420)**: Upgrade label encoder to support more input types (#1596) <Wei-Sheng Chin> - **[6425108](onnx/onnx@6425108)**: Add Doc about Adding New Operator into ONNX (#1647) <Lu Fang> - **[295889c](onnx/onnx@295889c)**: use an empty initializer to create map (#1643) <Lu Fang> - **[e38f3ec](onnx/onnx@e38f3ec)**: Remove redundant const (#1639) <daquexian> - **[ea694bf](onnx/onnx@ea694bf)**: implement fuse reduce->unsqueeze + fix assumption in nop_dropout pass (#1565) <Armen> - **[6db386e](onnx/onnx@6db386e)**: make output shape clear enough for Softmax family (#1634) <Lu Fang> - **[2b67c6e](onnx/onnx@2b67c6e)**: fix batchnorm doc (#1633) <Lu Fang> - **[c901784](onnx/onnx@c901784)**: remove inappropriate consts (#1632) <Lu Fang> - **[de82119](onnx/onnx@de82119)**: Shape inference fix for broadcast, concat and scan (#1594) <KeDengMS> - **[d7ffe3b](onnx/onnx@d7ffe3b)**: Update Optimizer Docs (#1607) <Armen> - **[d09d139](onnx/onnx@d09d139)**: mark PROTOBUF_INCLUDE_DIRS as BUILD_INTERFACE (#1466) <Yuta Okamoto> - **[eb4b7c2](onnx/onnx@eb4b7c2)**: allow variadic parameters of different types (#1615) <G. Ramalingam> - **[4166246](onnx/onnx@4166246)**: Fix onnxifi test (#1617) <Yinghai Lu> - **[6706a4d](onnx/onnx@6706a4d)**: Fix a bug in vector address access (#1598) <Raymond Yang> - **[ae39866](onnx/onnx@ae39866)**: Separate types of inputs 1 and 2 in OneHot op. (#1610) <Spandan Tiwari> - **[45ba661](onnx/onnx@45ba661)**: Handle new types in the switch. (#1608) <Dmitri Smirnov> - **[14853b6](onnx/onnx@14853b6)**: Bump docker image version to 230 used in CircleCI (#1606) <bddppq> - **[e0993b8](onnx/onnx@e0993b8)**: [onnxifi] Make sure that backend handles run async. (#1599) <Roman Dzhabarov> - **[e6965cc](onnx/onnx@e6965cc)**: Introduce SparseTensor ML proto (#1554) <Dmitri Smirnov> - **[75b782f](onnx/onnx@75b782f)**: In driver test check the return status of onnxGetBackendIDs (#1597) <bddppq> - **[c05b364](onnx/onnx@c05b364)**: Make CI log less verbose (#1595) <bddppq> - **[fa568e4](onnx/onnx@fa568e4)**: Loop type shape inferencing (#1591) <Scott McKay> - **[937e64c](onnx/onnx@937e64c)**: add uint8 (#1590) <Lu Fang> - **[f86e951](onnx/onnx@f86e951)**: Add domain as an optional parameter for make_node function (#1588) <Young Kim> - **[ff45588](onnx/onnx@ff45588)**: Remove unreachable code in shape_inference.h (#1585) <Changming Sun> - **[f7dcad0](onnx/onnx@f7dcad0)**: Add several hyperbolic function ops. (#1499) <Sergii Dymchenko> - **[a60ac7d](onnx/onnx@a60ac7d)**: Add OneHot op to ONNX. (#1567) <Spandan Tiwari> - **[f6c3a7e](onnx/onnx@f6c3a7e)**: [compiler flag] Issue a warning if class has virtual method but missing virtual dtor. (#1583) <Roman Dzhabarov> - **[88d1784](onnx/onnx@88d1784)**: Fix MaxUnpool shape inference when output_shape is provided as input (#1578) <Spandan Tiwari> - **[20041b7](onnx/onnx@20041b7)**: Add type shape inferencing for the If operator (#1571) <Scott McKay> - **[d6c4c75](onnx/onnx@d6c4c75)**: Add a virtual destructor to GraphInferencer (#1574) <Changming Sun> - **[a339598](onnx/onnx@a339598)**: fix ConvTranspose spec (#1566) <Wenhao Hu> Reviewed By: zrphercule Differential Revision: D13263831 fbshipit-source-id: a2ff22c6454e2430429e5a7d18d21661a7ffb0cb
zasdfgbnm
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* Unify disjoint set implementations. Co-authored-by: Naoya Maruyama <nmaruyama@nvidia.com>
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CC @apaszke