10000 The RNNCell's example can not run correctly by zhoumingjun · Pull Request #690 · pytorch/pytorch · GitHub
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Merged
merged 1 commit into from
Feb 7, 2017
Merged

The RNNCell's example can not run correctly #690

merged 1 commit into from
Feb 7, 2017

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zhoumingjun
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@zhoumingjun zhoumingjun commented Feb 7, 2017

The following is the workable example:

rnn = nn.RNNCell(10, 20)
input = Variable(torch.randn(6, 3, 10))
hx = Variable(torch.randn(3, 20))
output = []
for i in range(6):
    hx = rnn(input[i], hx)
    output.append(hx)

@apaszke apaszke merged commit de46596 into pytorch:master Feb 7, 2017
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apaszke commented Feb 7, 2017

Thanks!

@zhoumingjun zhoumingjun deleted the fix branch February 8, 2017 01:47
bddppq pushed a commit to bddppq/pytorch that referenced this pull request Apr 17, 2018
…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>
mrshenli pushed a commit to mrshenli/pytorch that referenced this pull request Apr 11, 2020
mcarilli pushed a commit to mcarilli/pytorch that referenced this pull request Mar 18, 2021
* Fix inconsistent parallelization
* Validate consistent parallelization of tensors
KyleCZH pushed a commit to KyleCZH/pytorch that referenced this pull request Sep 20, 2021
This makes all `git submodule update`s on Mac/Linux parallel using
`--jobs 0`, which uses ["some reasonable
default"](https://git-scm.com/docs/git-config#Documentation/git-config.txt-submodulefetchJobs).

Co-authored-by: Your Name <you@example.com>
akashveramd pushed a commit to akashveramd/pytorch that referenced this pull request Apr 9, 2025
* enable gfx940

* switch between intrinsic mfma routines on mi100/200 and mi300

* fix mfma_int8 on MI300

* disable 2 int8 examples on MI300

* Update cmake-ck-dev.sh

* restore gitignore file

* modify Jenkinsfile to the internal repo

---------

Co-authored-by: Jing Zhang <jizha@amd.com>
Co-authored-by: zjing14 <zhangjing14@gmail.com>
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