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b0cf287b46
Summary: Make quantization tests compatible with the new training IR. With the new batch norm node `torch.ops.aten.batch_norm.default`, we don't need an additional getitem node after the bn node, so tests need to be fixed to not check for the getitem node. We added a capture_pre_autograd_graph_using_training_ir() function, which returns True when we are using the training ir, and False otherwise. This way, the code supports both training ir and the old ir. For now, we are just rolling out the training ir for fbcode internal tests. Test Plan: ``` buck2 run 'fbcode//mode/dev-nosan' fbcode//caffe2/test/quantization:test_quantization -- -r test_qat_preserve_source_fn_stack buck2 run 'fbcode//mode/dev-nosan' fbcode//caffe2/test/quantization:test_quantization -- -r test_qat_update_shared_qspec buck2 run 'fbcode//mode/dev-nosan' fbcode//caffe2/test/quantization:test_quantization -- -r test_conv2d buck2 run 'fbcode//mode/dev-nosan' fbcode//caffe2/test/quantization:test_quantization -- -r test_qat_conv_bn_relu_fusion buck2 run 'fbcode//mode/dev-nosan' fbcode//caffe2/test/quantization:test_quantization -- -r test_qat_conv_bn_fusion buck2 run 'fbcode//mode/dev-nosan' fbcode//caffe2/test/quantization:test_quantization -- -r test_qat_conv_bn_fusion_literal_args ``` Reviewed By: andrewor14, tugsbayasgalan Differential Revision: D61292102 Pull Request resolved: https://github.com/pytorch/pytorch/pull/134259 Approved by: https://github.com/tugsbayasgalan |
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| .. | ||
| db | ||
| pass_infra | ||
| passes | ||
| serde | ||
| __init__.py | ||
| converter.py | ||
| error.py | ||
| non_strict_utils.py | ||
| pass_base.py | ||
| tools.py | ||
| utils.py | ||
| verifier.py | ||
| wrappers.py | ||