Multihead matmul sparse #5
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b3602sss
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May 31, 2022
| nv_library(tensorrt_op_teller SRCS op_teller.cc DEPS framework_proto device_context boost) | ||
| nv_test(test_tensorrt SRCS test_tensorrt.cc DEPS dynload_cuda device_context dynamic_loader) | ||
| nv_test(test_tensorrt_engine SRCS test_engine.cc DEPS dynload_cuda tensorrt_engine) | ||
| nv_test(test_tensorrt_engine SRCS test_engine.cc test_dynamic_engine DEPS dynload_cuda tensorrt_engine tensorrt_plugin) |
| pass_library(gpu_cpu_map_matmul_to_mul_pass inference) | ||
| pass_library(mixed_precision_configure_pass inference) | ||
| pass_library(replace_dense_with_sparse_pass inference) | ||
| pass_library(replace_dense_multihead_matmul_with_sparse_pass inference) |
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把replace_dense_with_sparse_pass改成replace_dense_fc_with_sparse_pass或者把replace_dense_multihead_matmul_with_sparse_pass合入到replace_dense_with_sparse_pass。
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replace_dense_with_sparse_pass -> replace_dense_fc_with_sparse_pass
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PR types
Performance optimization
PR changes
OPs
Describe
Made several optimizations in this PR: