Add argmax and argmin to docs#1599
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apaszke merged 1 commit intopytorch:masterfrom May 20, 2017
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@Kaixhin you probably saved 1 minute for 1,000 people over the next year, or in expectation millions of minutes (years and years) for all of mankind in the future. You're a hero. Next time I won't be lazy and I'll try to push pull requests myself. Thanks! |
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Summary: There were no dimensionality constraints to the generated indices array, causing many examples being generated and filtered out. Instead, we should ensure the probability of unique indices is high. There is a better fix for this by using the `unique` keyword argument to `hypothesis.extra.numpy.arrays`, but this is available only in hypothesis version 3.28.0 and later. This is related to pytorch#1536 and pytorch#1599. Once this change has proven to be OK, we can modify the other tests that now have health check suppression enabled as well. Closes facebookarchive/caffe2#1686 Reviewed By: Yangqing Differential Revision: D6651789 Pulled By: pietern fbshipit-source-id: d80886c9ccf0a7a842a7580a279f33a2d6cca97c
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Nov 20, 2018
…fb74b7 Summary: Previous import was 882c5283c54345d131e8fe5c859e4844dcf7ca8e Included changes: - **[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: D13049077 fbshipit-source-id: 11133f10bc6b451094d1081e4ce736b02c8b9e2a
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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
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Some additional changes on top of a8f2cb6 (#135560) to: 1. Remove condition for preinstalled aotriton: always install/build aotriton as part of PyTorch build 2. Remove all aotriton preinstall steps from CI and manywheel dockerfiles 3. Specify list of manylinux values for each ROCm version in aotriton_version.txt: to allow for differing manylinux values as we transition from manylinux2_17 to manylinux2_28
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As suggested by @karpathy, should help people who search the docs looking for argmax/argmin.