pytorch

50e6f0fd - Add benchmark for torch.nn.functional.interpolate

Add benchmark for torch.nn.functional.interpolate Summary: This diff adds a new microbencharmk for the `torch.nn.functional.interpolate` operator, using OpBench Test Plan: ``` [nicolashug@59262.od ~/fbsource/fbcode/caffe2/benchmarks/operator_benchmark/pt (39207820)]$ buck run //caffe2/benchmarks/operator_benchmark/pt:interpolate_test -- --tag_filter short Starting new Buck daemon... Buck daemon started. Parsing buck files: finished in 06:30.7 min Creating action graph: finished in 33.9 sec Building: finished in 02:53.4 min (100%) 24224/24224 jobs, 24224 updated Total time: 09:58.2 min /data/sandcastle/boxes/fbsource/fbcode/buck-out/dev/gen/caffe2/benchmarks/operator_benchmark/pt/interpolate_test#link-tree/torch/utils/cpp_extension.py:3: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp # ---------------------------------------- # PyTorch/Caffe2 Operator Micro-benchmarks # ---------------------------------------- # Tag : short # Benchmarking PyTorch: interpolate # Mode: Eager # Name: interpolate_input_size(1,3,60,40)_output_size(24,24)_channels_lastTrue # Input: input_size: (1, 3, 60, 40), output_size: (24, 24), channels_last: True Forward Execution Time (us) : 510.818 # Benchmarking PyTorch: interpolate # Mode: Eager # Name: interpolate_input_size(1,3,60,40)_output_size(24,24)_channels_lastFalse # Input: input_size: (1, 3, 60, 40), output_size: (24, 24), channels_last: False Forward Execution Time (us) : 684.324 # Benchmarking PyTorch: interpolate # Mode: Eager # Name: interpolate_input_size(1,3,600,400)_output_size(240,240)_channels_lastTrue # Input: input_size: (1, 3, 600, 400), output_size: (240, 240), channels_last: True Forward Execution Time (us) : 33791.970 # Benchmarking PyTorch: interpolate # Mode: Eager # Name: interpolate_input_size(1,3,600,400)_output_size(240,240)_channels_lastFalse # Input: input_size: (1, 3, 600, 400), output_size: (240, 240), channels_last: False Forward Execution Time (us) : 50120.585 # Benchmarking PyTorch: interpolate # Mode: Eager # Name: interpolate_input_size(1,3,320,320)_output_size(256,256)_channels_lastTrue # Input: input_size: (1, 3, 320, 320), output_size: (256, 256), channels_last: True Forward Execution Time (us) : 37668.089 # Benchmarking PyTorch: interpolate # Mode: Eager # Name: interpolate_input_size(1,3,320,320)_output_size(256,256)_channels_lastFalse # Input: input_size: (1, 3, 320, 320), output_size: (256, 256), channels_last: False Forward Execution Time (us) : 56869.472 ``` Reviewed By: fmassa Differential Revision: D26225318 fbshipit-source-id: 7757296192e630c42a6e4913c5c1d93af11d286d