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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/70022 Add support for fusing ConvTranpose{1,2,3}d with BatchNorm{1,2,3}d. This re-uses the existing fusion logic but adds a "transpose" flag to the fusing function which when enabled will use the appropriate reshape for ConTranspose's transposed weights. Test Plan: `buck test mode/dev //caffe2/test:quantization -- -r quantization.eager.test_fusion.TestFusion` Reviewed By: jerryzh168 Differential Revision: D33074405 fbshipit-source-id: 5e9eff1a06d8f98d117e7d18e80da8e842e973b7 |
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| .. | ||
| __init__.py | ||
| _stateless.py | ||
| clip_grad.py | ||
| convert_parameters.py | ||
| fusion.py | ||
| init.py | ||
| memory_format.py | ||
| parametrizations.py | ||
| parametrize.py | ||
| prune.py | ||
| rnn.py | ||
| rnn.pyi | ||
| spectral_norm.py | ||
| weight_norm.py | ||