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pytorch/caffe2/python
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Paul Jesse Hellemn 771fcb3455 [caffe2] Fbcode to GitHub sync (#6208) 
* [easy] allow empty tensor in cuda relu op

The diff has not enabled unit test of empty tensor, because MLKVersion of ReluOp need extra work to support

* Make blob norm plotting work with distributed trainer when the old framework is used
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docs
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examples
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helpers
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layers
Revert D7394363: [GanH]: Log D Trick for Cross Entropy with Sigmoid
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mint
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mkl
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modeling
[caffe2] Fbcode to GitHub sync (#6208)
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models
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onnx
Remove ShuffleNet from model zoo. (#6203)
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operator_test
[caffe2] Fbcode to GitHub sync (#6208)
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predictor
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rnn
Fix a typo
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test
Fix occasional test timeouts
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__init__.py
Experimental support for setup.py develop mode install
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_import_c_extension.py
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allcompare_test.py
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attention.py
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benchmark_generator.py
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binarysize.py
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brew_test.py
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brew.py
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build.py
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cached_reader.py
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caffe_translator_test.py
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caffe_translator.py
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checkpoint_test.py
Back out "Revert D7372460: [DT] [28/n] Lift epoch_limiter"
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checkpoint.py
Back out "Revert D7372460: [DT] [28/n] Lift epoch_limiter"
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CMakeLists.txt
Fix OSS build
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cnn.py
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context_test.py
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context.py
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control_ops_grad.py
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control_ops_util.py
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control_test.py
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control.py
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convnet_benchmarks_test.py
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convnet_benchmarks.py
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core_gradients_test.py
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core_test.py
Enable support for placeholder ops in InjectCrossDeviceCopies
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core.py
Enable support for placeholder ops in InjectCrossDeviceCopies
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crf.py
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data_parallel_model_test.py
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data_parallel_model_utils.py
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data_parallel_model.py
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data_workers_test.py
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data_workers.py
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dataio_test.py
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dataio.py
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dataset.py
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db_test.py
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device_checker.py
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dlpack.h
Support for DLPack in Python op
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dyndep.py
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embedding_generation_benchmark.py
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experiment_util.py
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extension_loader.py
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functional_test.py
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functional.py
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fused_8bit_rowwise_conversion_ops_test.py
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gradient_check_test.py
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gradient_checker.py
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gru_cell.py
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hsm_util.py
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hypothesis_test_util.py
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hypothesis_test.py
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layer_model_helper.py
[caffe2] Fbcode to GitHub sync (#6208)
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layer_model_instantiator.py
[caffe2] Fbcode to GitHub sync (#6208)
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layer_parameter_sharing_test.py
[layer model] remove duplicated init ops
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layer_test_util.py
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layers_test.py
[D2]: Improve loss weight by allowing omitted weights
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lengths_reducer_fused_8bit_rowwise_ops_test.py
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lengths_reducer_rowwise_8bit_ops_test.py
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lstm_benchmark.py
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memonger_test.py
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memonger.py
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mkl_test_util.py
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model_device_test.py
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model_helper.py
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modifier_context.py
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mpi_python.cc
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muji_test.py
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muji.py
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net_builder_test.py
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net_builder.py
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net_drawer.py
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net_printer_test.py
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net_printer.py
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numa_benchmark.py
[core] Graph-level NUMA awareness in Caffe2
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numa_test.py
[core] NUMA-aware pinned allocator
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observer_test.py
Fix RNN scoping situation
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optimizer_context.py
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optimizer_test_util.py
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optimizer_test.py
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optimizer.py
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parallel_workers_test.py
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parallel_workers.py
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parallelize_bmuf_distributed_test.py
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pipeline_test.py
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pipeline.py
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predictor_constants.py
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pybind_state_dlpack.cc
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pybind_state_dlpack.h
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pybind_state_gpu.cc
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pybind_state_int8.cc
[C2 Int8][C2 Core]fetch int8 blob
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pybind_state_mkl.cc
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pybind_state.cc
[nomnigraph] Expose transformations to python
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pybind_state.h
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python_op_test.py
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queue_util.py
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record_queue.py
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recurrent.py
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regularizer_context.py
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regularizer_test.py
add dense regularization
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regularizer.py
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rnn_cell.py
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schema_test.py
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schema.py
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scope_test.py
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scope.py
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session_test.py
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session.py
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sparse_to_dense_mask_test.py
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sparse_to_dense_test.py
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task.py
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test_util.py
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text_file_reader.py
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timeout_guard.py
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toy_regression_test.py
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transformations_test.py
[nomnigraph] Expose transformations to python
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transformations.py
[nomnigraph] Expose transformations to python
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tt_core_test.py
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tt_core.py
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utils.py
[layer model] remove duplicated init ops
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visualize.py
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workspace_test.py
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workspace.py
[C2 Int8][C2 Core]fetch int8 blob
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