Remove view on self.target_tensor of dim 1 in TensorDataset (#609) #694
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Contributor
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Yeah, it is valid. But you've only removed that for labels, while the data will still be viewed incorrectly. Can you please remove that other |
Contributor
Author
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I thought about it as well, but wouldn't this cause some issues in
layers that expect the input to be 2D (where the first dim represents
the batch size) when one needs to use 1D samples?
|
Contributor
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If they expect such input, then you should provide a 2D data. |
Contributor
Author
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I agree, so I've modified accordingly. |
Contributor
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@pytorchbot test this please |
Contributor
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Thanks! |
bddppq
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…9c90c8 Previous import was a4dcc47791eb127652f5aaddd51d8896d446a067 Included changes: - **[985af3f](onnx/onnx@985af3f)**: Update PythonAPIOverview.md (pytorch#738) <Dmytro Dzhulgakov> - **[b69be33](onnx/onnx@b69be33)**: Add backend test for upsample (pytorch#729) <Sebastian Meßmer> - **[0d9496e](onnx/onnx@0d9496e)**: Input test data of concat op should be float (pytorch#711) <Changming Sun> - **[20bcb8b](onnx/onnx@20bcb8b)**: Fix the spec for batchnorm and instancenorm (pytorch#733) <Lu Fang> - **[c9f825f](onnx/onnx@c9f825f)**: Refine a little bit about op spec. (pytorch#666) <Ke Zhang> - **[a484eb2](onnx/onnx@a484eb2)**: Fix an error in Conv doc (pytorch#731) <Lu Fang> - **[7410cc4](onnx/onnx@7410cc4)**: Fix incorrect package output paths (pytorch#730) <bddppq> - **[be546e2](onnx/onnx@be546e2)**: Improve optimizer's API and docs (pytorch#713) <Lu Fang> - **[c61506f](onnx/onnx@c61506f)**: Fix the shape inference python API (pytorch#716) <Lu Fang> - **[e9d4134](onnx/onnx@e9d4134)**: Fix cmake on windows when not building python extension (pytorch#728) <bddppq> - **[72187aa](onnx/onnx@72187aa)**: Add value_info support in make_graph (pytorch#726) <Lu Fang> - **[67b7d89](onnx/onnx@67b7d89)**: Fix gen_proto in cmake (pytorch#719) <bddppq> - **[fcb4ae3](onnx/onnx@fcb4ae3)**: docs rewording: Important Python Functions -> Python API Overview (pytorch#721) <anderspapitto> - **[24275d6](onnx/onnx@24275d6)**: Ignore .eggs directory when doing lint (pytorch#722) <bddppq> - **[54be8fa](onnx/onnx@54be8fa)**: Use cmake3 if it's available (pytorch#718) <bddppq> - **[b8c4238](onnx/onnx@b8c4238)**: Add python function docs (pytorch#714) <Lu Fang> - **[e177493](onnx/onnx@e177493)**: Remove unused cmake utils (pytorch#712) <bddppq> - **[72d6ad6](onnx/onnx@72d6ad6)**: Remove pycmd from CMake (pytorch#710) <bddppq> - **[93f0d40](onnx/onnx@93f0d40)**: Fix windows local build (pytorch#709) <Raymond Yang> - **[6734224](onnx/onnx@6734224)**: CMake fixes and setup.py cleanup (pytorch#706) <bddppq> - **[7f6a4fd](onnx/onnx@7f6a4fd)**: Add docs to explain important functions in ONNX Infra (pytorch#682) <Lu Fang> - **[f0f6b3d](onnx/onnx@f0f6b3d)**: fix hardmax test cases make output dtype same as input (pytorch#705) <Wenhao Hu> - **[c970f0c](onnx/onnx@c970f0c)**: Fix the Dummy backend (pytorch#701) <Lu Fang> - **[2af45df](onnx/onnx@2af45df)**: setup.py uses cmake build system (pytorch#606) <anderspapitto> - **[dfcaade](onnx/onnx@dfcaade)**: clean up unused variable left by removing consumed_input (pytorch#697) <bddppq> - **[accfc74](onnx/onnx@accfc74)**: Remove incorrect backend test (pytorch#700) <Lu Fang> - **[e558732](onnx/onnx@e558732)**: add max inclusive version to defs.get_schema function (pytorch#695) <Wenhao Hu> - **[16f02eb](onnx/onnx@16f02eb)**: add API to add domain to min/max version for extension. (pytorch#694) <Ke Zhang> - **[3e560dd](onnx/onnx@3e560dd)**: Fix doc for initializer (pytorch#690) <bddppq> - **[6cc4f53](onnx/onnx@6cc4f53)**: Add model save function (pytorch#692) <Lu Fang> - **[21eaf9b](onnx/onnx@21eaf9b)**: Changing the string discussing versions in operator specifications. (pytorch#691) <Niklas Gustafsson> - **[3b0cdf4](onnx/onnx@3b0cdf4)**: Minor code quality improvements in optimizer/ (pytorch#612) <Sebastian Meßmer> - **[641f126](onnx/onnx@641f126)**: Fix Gemm doc wording (pytorch#689) <bddppq> - **[4a0ec75](onnx/onnx@4a0ec75)**: Clarifies installation error message when external protobuf dependencies are missing (pytorch#684) <Daniel J. H> - **[960a2c3](onnx/onnx@960a2c3)**: Check outputs dtype in backend tests (pytorch#567) <bddppq> - **[1d7dee4](onnx/onnx@1d7dee4)**: Fix Average pool test cases converted from PyTorch (pytorch#677) <Lu Fang> - **[36d7fff](onnx/onnx@36d7fff)**: Fix Attribute default value pybind11 binding (pytorch#671) <bddppq> - **[0536866](onnx/onnx@0536866)**: git ignore .pytest_cache (pytorch#674) <bddppq> - **[afc84ac](onnx/onnx@afc84ac)**: Update README.md (pytorch#672) <Dmytro Dzhulgakov> - **[9d2b530](onnx/onnx@9d2b530)**: Revert "[Typing 1/3] Setup mypy type checker (pytorch#607)" (pytorch#667) <bddppq> - **[086727e](onnx/onnx@086727e)**: [Typing 1/3] Setup mypy type checker (pytorch#607) <Sebastian Meßmer> - **[5716e20](onnx/onnx@5716e20)**: Convert all Node tests to Model tests (pytorch#651) <bddppq> - **[6fe932a](onnx/onnx@6fe932a)**: Replace unittest.skip with custom exception (pytorch#659) <Dmytro Dzhulgakov> - **[ecac1c1](onnx/onnx@ecac1c1)**: Merge Rel 1.1.0 branch into master (pytorch#657) <Anirudh> - **[5cb999d](onnx/onnx@5cb999d)**: Minor cleanups to shape inference (pytorch#653) <anderspapitto> - **[f4acf28](onnx/onnx@f4acf28)**: Remove allowconsumed enforceconsumed from op schema. (pytorch#617) <Ke Zhang> - **[a8e4648](onnx/onnx@a8e4648)**: Adjust link flags when built in Windows Debug mode (pytorch#647) <Yinghai Lu> - **[7c009fe](onnx/onnx@7c009fe)**: Fix lint error in optimizer test (pytorch#656) <bddppq> - **[063d12f](onnx/onnx@063d12f)**: Fix optimizer split pass for models with constant output (pytorch#652) <bddppq>
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IFU-master 07/20/2020
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KyleCZH
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This implements part of pytorch#56397. It turns on `REL_WITH_DEB_INFO=1` for binary Linux builds, then splits out debug symbols by copying `libtorch_cpu.so` and stripping out the debug symbols. It then adds a link to the debug symbols with `objcopy` and sends it off to a separate artifact as a `.zip`. Test binary build: https://app.circleci.com/jobs/github/pytorch/pytorch/12525828?utm_campaign=vcs-integration-link&utm_medium=referral&utm_source=github-build-link TODO: Figure out why `-gsplit-dwarf` + `dwp` doesn't work (the binary sizes after compiling with `-gsplit-dwarf` are still big) Co-authored-by: driazati <[email protected]>
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Could this be a valid fix for the bug reported here #609?