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The original two inputs (torch.randn(5,5)) can not be used as input of resnet, which must be (batch, channels, width, height)

The original two inputs (torch.randn(5,5)) can not be used as input of resnet, which must be (batch, channels, width, height)
@soumith soumith merged commit 447fe95 into pytorch:master Jun 1, 2017
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soumith commented Jun 1, 2017

thanks!

houseroad added a commit to houseroad/pytorch that referenced this pull request Jan 4, 2019
…b18ba1 (pytorch#15739)

Summary:
Pull Request resolved: pytorch#15739

Previous import was 765f5ee823a67a866f4bd28a9860e81f3c811ce8

Included changes:
- **[8384c78](onnx/onnx@8384c78)**: add constantofshape (pytorch#1582) <Rui Zhu>
- **[9afc06c](onnx/onnx@9afc06c)**: Set symbol visibility to hidden for non-Windows (pytorch#1707) <Paul Jesse Hellemn>
- **[6f8a9f0](onnx/onnx@6f8a9f0)**: Revert "Add NonMaxSupression operator (pytorch#1695)" (pytorch#1702) <Lu Fang>
- **[8b89544](onnx/onnx@8b89544)**: Add NonMaxSupression operator (pytorch#1695) <Hector Li>
- **[0a7cc48](onnx/onnx@0a7cc48)**: Add bfloat16 support. (pytorch#1699) <Dmitri Smirnov>
- **[da7c50c](onnx/onnx@da7c50c)**: ONNX does not maintain versions for experimental ops (pytorch#1696) <Ke Zhang>
- **[0c8d857](onnx/onnx@0c8d857)**: Correct type of value_info in Graph (pytorch#1694) <Maik Riechert>
- **[f612532](onnx/onnx@f612532)**: Fix typos (pytorch#1686) <Eundoo Song>

Reviewed By: zrphercule

Differential Revision: D13581674

fbshipit-source-id: a961667184b09d2822815ba5d3fa4198a4c57e88
facebook-github-bot pushed a commit that referenced this pull request Jan 4, 2019
…b18ba1 (#15739)

Summary:
Pull Request resolved: #15739

Previous import was 765f5ee823a67a866f4bd28a9860e81f3c811ce8

Included changes:
- **[8384c78](onnx/onnx@8384c78)**: add constantofshape (#1582) <Rui Zhu>
- **[9afc06c](onnx/onnx@9afc06c)**: Set symbol visibility to hidden for non-Windows (#1707) <Paul Jesse Hellemn>
- **[6f8a9f0](onnx/onnx@6f8a9f0)**: Revert "Add NonMaxSupression operator (#1695)" (#1702) <Lu Fang>
- **[8b89544](onnx/onnx@8b89544)**: Add NonMaxSupression operator (#1695) <Hector Li>
- **[0a7cc48](onnx/onnx@0a7cc48)**: Add bfloat16 support. (#1699) <Dmitri Smirnov>
- **[da7c50c](onnx/onnx@da7c50c)**: ONNX does not maintain versions for experimental ops (#1696) <Ke Zhang>
- **[0c8d857](onnx/onnx@0c8d857)**: Correct type of value_info in Graph (#1694) <Maik Riechert>
- **[f612532](onnx/onnx@f612532)**: Fix typos (#1686) <Eundoo Song>

Reviewed By: zrphercule

Differential Revision: D13581674

fbshipit-source-id: 8f8ee86a05a86fe99bf94509148c559ea3df1464
mrshenli pushed a commit to mrshenli/pytorch that referenced this pull request Jan 6, 2019
…b18ba1 (pytorch#15739)

Summary:
Pull Request resolved: pytorch#15739

Previous import was 765f5ee823a67a866f4bd28a9860e81f3c811ce8

Included changes:
- **[8384c78](onnx/onnx@8384c78)**: add constantofshape (pytorch#1582) <Rui Zhu>
- **[9afc06c](onnx/onnx@9afc06c)**: Set symbol visibility to hidden for non-Windows (pytorch#1707) <Paul Jesse Hellemn>
- **[6f8a9f0](onnx/onnx@6f8a9f0)**: Revert "Add NonMaxSupression operator (pytorch#1695)" (pytorch#1702) <Lu Fang>
- **[8b89544](onnx/onnx@8b89544)**: Add NonMaxSupression operator (pytorch#1695) <Hector Li>
- **[0a7cc48](onnx/onnx@0a7cc48)**: Add bfloat16 support. (pytorch#1699) <Dmitri Smirnov>
- **[da7c50c](onnx/onnx@da7c50c)**: ONNX does not maintain versions for experimental ops (pytorch#1696) <Ke Zhang>
- **[0c8d857](onnx/onnx@0c8d857)**: Correct type of value_info in Graph (pytorch#1694) <Maik Riechert>
- **[f612532](onnx/onnx@f612532)**: Fix typos (pytorch#1686) <Eundoo Song>

Reviewed By: zrphercule

Differential Revision: D13581674

fbshipit-source-id: 8f8ee86a05a86fe99bf94509148c559ea3df1464
jagadish-amd pushed a commit to jagadish-amd/pytorch that referenced this pull request Jun 2, 2025
…ytorch#2200)

Fixes #SWDEV-520036.

[Release/2.4] Fix 493250 - Fix distributed unit tests that fail on 4 GPU
NAVI machine with python12, pytorch release2.4 (pytorch#1694)

Fixes #SWDEV-493250

Solving these issues in 5 different tests.

| 1 | test_ddp_apply_optim_in_backward
| 2 | test_barrier_full_group_cuda distributed/test_distributed_spawn |
3 | test_ddp_profiling_execution_trace
| 4 | test_gather_object_subgroup distributed/test_distributed_spawn | 5
| test_barrier_group_cuda distributed/test_distributed_spawn

Fixes #ISSUE_NUMBER
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3 participants