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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/72995 Add ability to specify input dimensions that need to be dynamic. Example: if dim 115 can be dynamic in input sizes "1,115;1", then specify dynamic_dims as "115" Also recompile and update CI models and some asm code as the old ones don't compile with compiler changes in context.cpp Test Plan: - Compiles and runs BI Bytedoc model with and without dynamic inputs. Reviewed By: ZolotukhinM Differential Revision: D34233121 fbshipit-source-id: 35095e549ebd6d3bec98b9abb3f0764366a0ff6f (cherry picked from commit 33166a9f9ac9194b5df0a35280b57708df255ebd) |
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| .. | ||
| bench_gen | ||
| aot_model_compiler.cc | ||
| at_launch_benchmark.cc | ||
| benchmark_args.h | ||
| benchmark_helper.cc | ||
| benchmark_helper.h | ||
| caffe2_benchmark.cc | ||
| CMakeLists.txt | ||
| compare_models_torch.cc | ||
| convert_and_benchmark.cc | ||
| convert_caffe_image_db.cc | ||
| convert_db.cc | ||
| convert_encoded_to_raw_leveldb.cc | ||
| convert_image_to_tensor.cc | ||
| core_overhead_benchmark.cc | ||
| core_overhead_benchmark_gpu.cc | ||
| db_throughput.cc | ||
| dump_operator_names.cc | ||
| inspect_gpu.cc | ||
| intra_inter_benchmark.cc | ||
| lite_interpreter_model_load.cc | ||
| make_cifar_db.cc | ||
| make_image_db.cc | ||
| make_mnist_db.cc | ||
| optimize_for_mobile.cc | ||
| parallel_info.cc | ||
| predictor_verifier.cc | ||
| print_core_object_sizes_gpu.cc | ||
| print_registered_core_operators.cc | ||
| record_function_benchmark.cc | ||
| run_plan.cc | ||
| run_plan_mpi.cc | ||
| speed_benchmark.cc | ||
| speed_benchmark_torch.cc | ||
| split_db.cc | ||
| tsv_2_proto.cc | ||
| tutorial_blob.cc | ||
| zmq_feeder.cc | ||