mirror of
https://github.com/saymrwulf/onnxruntime.git
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8f34c8c8ed
### Description Introduce collective ops into onnxruntime inference build, including 1) AllReduce and AllGather schema in contrib op, controlled by USE_MPI flag 2) AllReduce and AllGather kernel in cuda EP, controlled by ORT_USE_NCCL flag ### Motivation and Context Enable the collective ops in onnxruntime inference build so we have the ability to run distributed inference with multiple GPUs. The original ncclAllReduce ops in training build require quite complex configurations, which is not suitable for inference case, and it already broken. so we introduce a new implementation. --------- Co-authored-by: Cheng Tang <chenta@microsoft.com@orttrainingdev9.d32nl1ml4oruzj4qz3bqlggovf.px.internal.cloudapp.net>
247 lines
7.9 KiB
CMake
247 lines
7.9 KiB
CMake
# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT License.
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find_package(Python3 COMPONENTS Interpreter REQUIRED)
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# GLOB pattern of file to be excluded
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set(contrib_ops_excluded_files
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"bert/attention.cc"
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"bert/attention.h"
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"bert/attention_impl.cu"
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"bert/attention_softmax.h"
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"bert/multihead_attention.cc"
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"bert/multihead_attention.h"
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"bert/fast_gelu_impl.cu"
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"bert/fast_gelu_impl.h"
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"bert/fast_gelu.cc"
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"bert/fast_gelu.h"
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"bert/relative_attn_bias.cc"
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"bert/relative_attn_bias.h"
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"bert/relative_attn_bias_impl.cu"
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"bert/relative_attn_bias_impl.h"
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"bert/skip_layer_norm.cc"
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"bert/skip_layer_norm.h"
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"bert/skip_layer_norm_impl.cu"
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"bert/skip_layer_norm_impl.h"
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"bert/cutlass_fmha/*"
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"bert/tensorrt_fused_multihead_attention/*"
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"bert/transformer_common.h"
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"bert/transformer_common.cc"
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"diffusion/group_norm.h"
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"diffusion/group_norm.cc"
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"diffusion/group_norm_impl.cu"
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"diffusion/group_norm_impl.h"
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"diffusion/bias_split_gelu_impl.h"
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"diffusion/bias_split_gelu_impl.cu"
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"diffusion/bias_split_gelu.h"
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"diffusion/bias_split_gelu.cc"
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"diffusion/nhwc_conv.cc"
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"math/complex_mul.cc"
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"math/complex_mul.h"
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"math/complex_mul_impl.cu"
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"math/complex_mul_impl.h"
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"math/cufft_plan_cache.h"
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"math/fft_ops.cc"
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"math/fft_ops.h"
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"math/fft_ops_impl.cu"
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"math/fft_ops_impl.h"
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"quantization/attention_quantization.cc"
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"quantization/attention_quantization.h"
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"quantization/attention_quantization_impl.cu"
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"quantization/attention_quantization_impl.cuh"
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"quantization/quantize_dequantize_linear.cc"
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"quantization/qordered_ops/qordered_attention_impl.cu"
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"quantization/qordered_ops/qordered_attention_impl.h"
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"quantization/qordered_ops/qordered_attention_input_enum.h"
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"quantization/qordered_ops/qordered_attention.cc"
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"quantization/qordered_ops/qordered_attention.h"
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"quantization/qordered_ops/qordered_common.cuh"
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"quantization/qordered_ops/qordered_layer_norm.h"
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"quantization/qordered_ops/qordered_layer_norm.cc"
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"quantization/qordered_ops/qordered_layer_norm_impl.h"
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"quantization/qordered_ops/qordered_layer_norm_impl.cu"
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"quantization/qordered_ops/qordered_longformer_attention.cc"
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"quantization/qordered_ops/qordered_longformer_attention.h"
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"quantization/qordered_ops/qordered_matmul.h"
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"quantization/qordered_ops/qordered_matmul.cc"
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"quantization/qordered_ops/qordered_matmul_utils.h"
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"quantization/qordered_ops/qordered_matmul_utils.cc"
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"quantization/qordered_ops/qordered_qdq_impl.cu"
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"quantization/qordered_ops/qordered_qdq_impl.h"
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"quantization/qordered_ops/qordered_qdq.cc"
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"quantization/qordered_ops/qordered_qdq.h"
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"quantization/qordered_ops/qordered_unary_ops.h"
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"quantization/qordered_ops/qordered_unary_ops.cc"
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"quantization/qordered_ops/qordered_unary_ops_impl.h"
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"quantization/qordered_ops/qordered_unary_ops_impl.cu"
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"tensor/crop.cc"
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"tensor/crop.h"
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"tensor/crop_impl.cu"
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"tensor/crop_impl.h"
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"tensor/dynamicslice.cc"
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"tensor/image_scaler.cc"
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"tensor/image_scaler.h"
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"tensor/image_scaler_impl.cu"
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"tensor/image_scaler_impl.h"
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"transformers/beam_search.cc"
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"transformers/beam_search.h"
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"transformers/greedy_search.cc"
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"transformers/greedy_search.h"
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"conv_transpose_with_dynamic_pads.cc"
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"conv_transpose_with_dynamic_pads.h"
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"cuda_contrib_kernels.cc"
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"cuda_contrib_kernels.h"
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"inverse.cc"
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"fused_conv.cc"
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)
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if (NOT onnxruntime_ENABLE_ATEN)
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list(APPEND contrib_ops_excluded_files "aten_ops/aten_op.cc")
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endif()
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if (NOT onnxruntime_USE_NCCL)
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list(APPEND contrib_ops_excluded_files "collective/nccl_kernels.cc")
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endif()
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set(provider_excluded_files
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"atomic/common.cuh"
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"controlflow/if.cc"
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"controlflow/if.h"
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"controlflow/loop.cc"
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"controlflow/loop.h"
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"controlflow/scan.cc"
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"controlflow/scan.h"
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"cu_inc/common.cuh"
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"math/einsum_utils/einsum_auxiliary_ops.cc"
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"math/einsum_utils/einsum_auxiliary_ops.h"
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"math/einsum_utils/einsum_auxiliary_ops_diagonal.cu"
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"math/einsum_utils/einsum_auxiliary_ops_diagonal.h"
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"math/einsum.cc"
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"math/einsum.h"
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"math/gemm.cc"
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"math/matmul.cc"
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"math/softmax_impl.cu"
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"math/softmax_warpwise_impl.cuh"
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"math/softmax_common.cc"
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"math/softmax.cc"
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"nn/conv.cc"
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"nn/conv.h"
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"nn/conv_transpose.cc"
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"nn/conv_transpose.h"
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"reduction/reduction_ops.cc"
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"rnn/cudnn_rnn_base.cc"
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"rnn/cudnn_rnn_base.h"
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"rnn/gru.cc"
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"rnn/gru.h"
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"rnn/lstm.cc"
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"rnn/lstm.h"
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"rnn/rnn.cc"
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"rnn/rnn.h"
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"rnn/rnn_impl.cu"
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"rnn/rnn_impl.h"
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"shared_inc/cuda_call.h"
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"shared_inc/fpgeneric.h"
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"cuda_allocator.cc"
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"cuda_allocator.h"
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"cuda_call.cc"
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"cuda_common.cc"
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"cuda_common.h"
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"cuda_execution_provider_info.cc"
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"cuda_execution_provider_info.h"
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"cuda_execution_provider.cc"
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"cuda_execution_provider.h"
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"cuda_memory_check.cc"
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"cuda_memory_check.h"
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"cuda_fence.cc"
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"cuda_fence.h"
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"cuda_fwd.h"
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"cuda_kernel.h"
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"cuda_pch.cc"
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"cuda_pch.h"
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"cuda_profiler.cc"
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"cuda_profiler.h"
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"cuda_provider_factory.cc"
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"cuda_provider_factory.h"
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"cuda_stream_handle.cc",
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"cuda_stream_handle.h",
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"cuda_utils.cu"
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"cudnn_common.cc"
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"cudnn_common.h"
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"cupti_manager.cc"
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"cupti_manager.h"
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"fpgeneric.cu"
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"gpu_data_transfer.cc"
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"gpu_data_transfer.h"
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"integer_gemm.cc"
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"tunable/*"
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)
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set(training_ops_excluded_files
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"activation/gelu_grad_impl_common.cuh" # uses custom tanh
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"collective/adasum_kernels.cc"
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"collective/adasum_kernels.h"
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"math/div_grad.cc" # miopen API differs from cudnn, no double type support
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"nn/batch_norm_grad.cc" # no double type support
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"nn/batch_norm_grad.h" # miopen API differs from cudnn
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"nn/batch_norm_internal.cc" # miopen API differs from cudnn, no double type support
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"nn/batch_norm_internal.h" # miopen API differs from cudnn, no double type support
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"nn/conv_grad.cc"
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"nn/conv_grad.h"
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"reduction/reduction_all.cc" # deterministic = true, ignore ctx setting
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"reduction/reduction_ops.cc" # no double type support
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"cuda_training_kernels.cc"
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"cuda_training_kernels.h"
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)
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function(auto_set_source_files_hip_language)
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foreach(f ${ARGN})
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if(f MATCHES ".*\\.cu$")
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set_source_files_properties(${f} PROPERTIES LANGUAGE HIP)
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endif()
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endforeach()
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endfunction()
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# cuda_dir must be relative to REPO_ROOT
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function(hipify cuda_dir in_excluded_file_patterns out_generated_cc_files out_generated_cu_files)
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set(hipify_tool ${REPO_ROOT}/tools/ci_build/amd_hipify.py)
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file(GLOB_RECURSE srcs CONFIGURE_DEPENDS
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"${REPO_ROOT}/${cuda_dir}/cuda/*.h"
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"${REPO_ROOT}/${cuda_dir}/cuda/*.cc"
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"${REPO_ROOT}/${cuda_dir}/cuda/*.cuh"
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"${REPO_ROOT}/${cuda_dir}/cuda/*.cu"
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)
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# do exclusion
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set(excluded_file_patterns ${${in_excluded_file_patterns}})
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list(TRANSFORM excluded_file_patterns PREPEND "${REPO_ROOT}/${cuda_dir}/cuda/")
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file(GLOB_RECURSE excluded_srcs CONFIGURE_DEPENDS ${excluded_file_patterns})
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foreach(f ${excluded_srcs})
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message(STATUS "Excluded from hipify: ${f}")
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endforeach()
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list(REMOVE_ITEM srcs ${excluded_srcs})
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foreach(f ${srcs})
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file(RELATIVE_PATH cuda_f_rel "${REPO_ROOT}" ${f})
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string(REPLACE "cuda" "rocm" rocm_f_rel ${cuda_f_rel})
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set(f_out "${CMAKE_CURRENT_BINARY_DIR}/amdgpu/${rocm_f_rel}")
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add_custom_command(
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OUTPUT ${f_out}
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COMMAND Python3::Interpreter ${hipify_tool}
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--hipify_perl ${onnxruntime_HIPIFY_PERL}
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${f} -o ${f_out}
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DEPENDS ${hipify_tool} ${f}
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COMMENT "Hipify: ${cuda_f_rel} -> amdgpu/${rocm_f_rel}"
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)
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if(f MATCHES ".*\\.cuh?$")
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list(APPEND generated_cu_files ${f_out})
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else()
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list(APPEND generated_cc_files ${f_out})
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endif()
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endforeach()
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set_source_files_properties(${generated_cc_files} PROPERTIES GENERATED TRUE)
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set_source_files_properties(${generated_cu_files} PROPERTIES GENERATED TRUE)
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auto_set_source_files_hip_language(${generated_cu_files})
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set(${out_generated_cc_files} ${generated_cc_files} PARENT_SCOPE)
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set(${out_generated_cu_files} ${generated_cu_files} PARENT_SCOPE)
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endfunction()
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