Decouple most Caffe2 components from the build systems (r-barnes) (#125711)

Copying #125392 here so I can edit it more easily.

Co-authored-by: cyy <cyyever@outlook.com>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/125711
Approved by: https://github.com/malfet
This commit is contained in:
cyy 2024-05-09 02:19:59 +00:00 committed by PyTorch MergeBot
parent fdff9920f6
commit 6c4f43f826
5 changed files with 4 additions and 766 deletions

View File

@ -503,353 +503,6 @@ filegroup(
],
)
filegroup(
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@ -865,70 +518,6 @@ filegroup(
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@ -940,36 +529,6 @@ filegroup(
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@ -994,222 +553,6 @@ filegroup(
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"caffe2/core/event_gpu.cc",
"caffe2/operators/communicator_op_gpu.cc",
"caffe2/operators/concat_split_op_gpu.cc",
"caffe2/operators/conv_op_cache_cudnn.cc",
"caffe2/operators/conv_op_cudnn.cc",
"caffe2/operators/conv_op_gpu.cc",
"caffe2/operators/conv_op_shared_gpu.cc",
"caffe2/operators/conv_transpose_op_cudnn.cc",
"caffe2/operators/conv_transpose_op_gpu.cc",
"caffe2/operators/counter_ops_gpu.cc",
"caffe2/operators/do_op_gpu.cc",
"caffe2/operators/dropout_op_cudnn.cc",
"caffe2/operators/elementwise_add_op_gpu.cc",
"caffe2/operators/elementwise_sub_op_gpu.cc",
"caffe2/operators/elu_op_cudnn.cc",
"caffe2/operators/exp_op_gpu.cc",
"caffe2/operators/expand_op_gpu.cc",
"caffe2/operators/expand_squeeze_dims_op_gpu.cc",
"caffe2/operators/free_op_gpu.cc",
"caffe2/operators/fully_connected_op_gpu.cc",
"caffe2/operators/if_op_gpu.cc",
"caffe2/operators/im2col_op_gpu.cc",
"caffe2/operators/load_save_op_gpu.cc",
"caffe2/operators/local_response_normalization_op_cudnn.cc",
"caffe2/operators/locally_connected_op_gpu.cc",
"caffe2/operators/log_op_gpu.cc",
"caffe2/operators/matmul_op_gpu.cc",
"caffe2/operators/negate_gradient_op_gpu.cc",
"caffe2/operators/negative_op_gpu.cc",
"caffe2/operators/order_switch_ops_cudnn.cc",
"caffe2/operators/order_switch_ops_gpu.cc",
"caffe2/operators/pool_op_cudnn.cc",
"caffe2/operators/prepend_dim_op_gpu.cc",
"caffe2/operators/reshape_op_gpu.cc",
"caffe2/operators/rnn/recurrent_network_blob_fetcher_op_gpu.cc",
"caffe2/operators/rnn/recurrent_network_executor_gpu.cc",
"caffe2/operators/rnn/recurrent_op_cudnn.cc",
"caffe2/operators/scale_op_gpu.cc",
"caffe2/operators/shape_op_gpu.cc",
"caffe2/operators/sigmoid_op_cudnn.cc",
"caffe2/operators/softmax_op_cudnn.cc",
"caffe2/operators/sqr_op_gpu.cc",
"caffe2/operators/sqrt_op_gpu.cc",
"caffe2/operators/stop_gradient_gpu.cc",
"caffe2/operators/tanh_op_cudnn.cc",
"caffe2/operators/tensor_protos_db_input_gpu.cc",
"caffe2/operators/transpose_op_cudnn.cc",
"caffe2/operators/while_op_gpu.cc",
"caffe2/operators/zero_gradient_op_gpu.cc",
"caffe2/queue/queue_ops_gpu.cc",
"caffe2/sgd/iter_op_gpu.cc",
"caffe2/sgd/learning_rate_op_gpu.cc",
],
)
filegroup(
name = "caffe2_cu_srcs",
srcs = [
"caffe2/core/context_gpu.cu",
"caffe2/operators/abs_op.cu",
"caffe2/operators/accumulate_op.cu",
"caffe2/operators/accuracy_op.cu",
"caffe2/operators/acos_op.cu",
"caffe2/operators/affine_channel_op.cu",
"caffe2/operators/alias_with_name.cu",
"caffe2/operators/arg_ops.cu",
"caffe2/operators/asin_op.cu",
"caffe2/operators/assert_op.cu",
"caffe2/operators/atan_op.cu",
"caffe2/operators/batch_gather_ops.cu",
"caffe2/operators/batch_matmul_op.cu",
"caffe2/operators/batch_moments_op.cu",
"caffe2/operators/batch_permutation_op.cu",
"caffe2/operators/batch_sparse_to_dense_op.cu",
"caffe2/operators/boolean_mask_ops.cu",
"caffe2/operators/boolean_unmask_ops.cu",
"caffe2/operators/bucketize_op.cu",
"caffe2/operators/cast_op.cu",
"caffe2/operators/cbrt_op.cu",
"caffe2/operators/ceil_op.cu",
"caffe2/operators/channel_backprop_stats_op.cu",
"caffe2/operators/channel_shuffle_op.cu",
"caffe2/operators/channel_stats_op.cu",
"caffe2/operators/channelwise_conv3d_op_cudnn.cu",
"caffe2/operators/clip_op.cu",
"caffe2/operators/copy_op.cu",
"caffe2/operators/cos_op.cu",
"caffe2/operators/cosh_op.cu",
"caffe2/operators/cosine_embedding_criterion_op.cu",
"caffe2/operators/cross_entropy_op.cu",
"caffe2/operators/cube_op.cu",
"caffe2/operators/data_couple_gpu.cu",
"caffe2/operators/deform_conv_op.cu",
"caffe2/operators/depthwise_3x3_conv_op_cudnn.cu",
"caffe2/operators/distance_op.cu",
"caffe2/operators/dropout_op.cu",
"caffe2/operators/elementwise_div_op.cu",
"caffe2/operators/elementwise_linear_op.cu",
"caffe2/operators/elementwise_mul_op.cu",
"caffe2/operators/elementwise_ops.cu",
"caffe2/operators/elu_op.cu",
"caffe2/operators/enforce_finite_op.cu",
"caffe2/operators/ensure_cpu_output_op.cu",
"caffe2/operators/erf_op.cu",
"caffe2/operators/filler_op.cu",
"caffe2/operators/find_op.cu",
"caffe2/operators/floor_op.cu",
"caffe2/operators/gather_op.cu",
"caffe2/operators/gelu_op.cu",
"caffe2/operators/generate_proposals_op.cu",
"caffe2/operators/generate_proposals_op_util_nms_gpu.cu",
"caffe2/operators/given_tensor_byte_string_to_uint8_fill_op.cu",
"caffe2/operators/given_tensor_fill_op.cu",
"caffe2/operators/glu_op.cu",
"caffe2/operators/group_norm_op.cu",
"caffe2/operators/gru_unit_op_gpu.cu",
"caffe2/operators/half_float_ops.cu",
"caffe2/operators/hard_sigmoid_op.cu",
"caffe2/operators/instance_norm_op.cu",
"caffe2/operators/integral_image_op.cu",
"caffe2/operators/layer_norm_op.cu",
"caffe2/operators/leaky_relu_op.cu",
"caffe2/operators/lengths_pad_op.cu",
"caffe2/operators/lengths_tile_op.cu",
"caffe2/operators/local_response_normalization_op.cu",
"caffe2/operators/logit_op.cu",
"caffe2/operators/loss_op.cu",
"caffe2/operators/lp_pool_op.cu",
"caffe2/operators/lstm_unit_op_gpu.cu",
"caffe2/operators/margin_ranking_criterion_op.cu",
"caffe2/operators/max_pool_with_index.cu",
"caffe2/operators/mean_op.cu",
"caffe2/operators/mem_query_op.cu",
"caffe2/operators/minmax_ops.cu",
"caffe2/operators/moments_op.cu",
"caffe2/operators/multi_class_accuracy_op.cu",
"caffe2/operators/normalize_ops.cu",
"caffe2/operators/one_hot_ops.cu",
"caffe2/operators/pack_segments.cu",
"caffe2/operators/pad_op_gpu.cu",
"caffe2/operators/perplexity_op.cu",
"caffe2/operators/piecewise_linear_transform_op.cu",
"caffe2/operators/pool_op.cu",
"caffe2/operators/pow_op.cu",
"caffe2/operators/prelu_op.cu",
"caffe2/operators/reciprocal_op.cu",
"caffe2/operators/reduce_front_back_max_ops.cu",
"caffe2/operators/reduce_front_back_sum_mean_ops.cu",
"caffe2/operators/reduce_ops.cu",
"caffe2/operators/reduction_ops.cu",
"caffe2/operators/relu_n_op.cu",
"caffe2/operators/relu_op.cu",
"caffe2/operators/replace_nan_op.cu",
"caffe2/operators/resize_3d_op.cu",
"caffe2/operators/resize_op.cu",
"caffe2/operators/reverse_packed_segs_op.cu",
"caffe2/operators/rmac_regions_op.cu",
"caffe2/operators/rnn/recurrent_network_op_gpu.cu",
"caffe2/operators/roi_align_gradient_op.cu",
"caffe2/operators/roi_align_op.cu",
"caffe2/operators/roi_align_rotated_gradient_op.cu",
"caffe2/operators/roi_align_rotated_op.cu",
"caffe2/operators/roi_pool_op.cu",
"caffe2/operators/rsqrt_op.cu",
"caffe2/operators/scale_blobs_op.cu",
"caffe2/operators/segment_reduction_op_gpu.cu",
"caffe2/operators/selu_op.cu",
"caffe2/operators/sequence_ops.cu",
"caffe2/operators/sigmoid_op.cu",
"caffe2/operators/sin_op.cu",
"caffe2/operators/sinh_op.cu",
"caffe2/operators/slice_op.cu",
"caffe2/operators/softmax_ops.cu",
"caffe2/operators/softplus_op.cu",
"caffe2/operators/softsign_op.cu",
"caffe2/operators/space_batch_op_gpu.cu",
"caffe2/operators/sparse_normalize_op_gpu.cu",
"caffe2/operators/sparse_to_dense_op.cu",
"caffe2/operators/spatial_batch_norm_op.cu",
"caffe2/operators/spatial_batch_norm_op_cudnn.cu",
"caffe2/operators/stump_func_op.cu",
"caffe2/operators/summarize_op.cu",
"caffe2/operators/swish_op.cu",
"caffe2/operators/tan_op.cu",
"caffe2/operators/tanh_op.cu",
"caffe2/operators/thresholded_relu_op.cu",
"caffe2/operators/tile_op.cu",
"caffe2/operators/top_k.cu",
"caffe2/operators/transpose_op.cu",
"caffe2/operators/unique_ops.cu",
"caffe2/operators/upsample_op.cu",
"caffe2/operators/utility_ops.cu",
"caffe2/operators/weighted_sample_op.cu",
"caffe2/sgd/adadelta_op_gpu.cu",
"caffe2/sgd/adagrad_op_gpu.cu",
"caffe2/sgd/adam_op_gpu.cu",
"caffe2/sgd/fp16_momentum_sgd_op.cu",
"caffe2/sgd/fp32_momentum_sgd_op.cu",
"caffe2/sgd/lars_op_gpu.cu",
"caffe2/sgd/momentum_sgd_op_gpu.cu",
"caffe2/sgd/rmsprop_op_gpu.cu",
"caffe2/sgd/yellowfin_op_gpu.cu",
"caffe2/utils/math/broadcast.cu",
"caffe2/utils/math/elementwise.cu",
"caffe2/utils/math/reduce.cu",
"caffe2/utils/math/transpose.cu",
"caffe2/utils/math_gpu.cu",
],
)
# To achieve finer granularity and make debug easier, caffe2 is split into three libraries:
# ATen, caffe2 and caffe2_for_aten_headers. ATen lib group up source codes under
# aten/ directory and caffe2 contains most files under `caffe2/` directory. Since the
@ -1250,23 +593,8 @@ cc_library(
"caffe2/core/nomnigraph/include/nomnigraph/Support/*.h",
"caffe2/core/nomnigraph/include/nomnigraph/Transformations/*.h",
"caffe2/core/nomnigraph/tests/*.h",
"caffe2/ideep/*.h",
"caffe2/ideep/operators/*.h",
"caffe2/ideep/operators/quantization/*.h",
"caffe2/ideep/utils/*.h",
"caffe2/onnx/*.h",
"caffe2/operators/*.h",
"caffe2/operators/rnn/*.h",
"caffe2/opt/*.h",
"caffe2/perfkernels/*.h",
"caffe2/predictor/*.h",
"caffe2/predictor/emulator/*.h",
"caffe2/quantization/server/*.h",
"caffe2/queue/*.h",
"caffe2/serialize/*.h",
"caffe2/sgd/*.h",
"caffe2/share/contrib/depthwise/*.h",
"caffe2/transforms/*.h",
"caffe2/utils/*.h",
"caffe2/utils/math/*.h",
"caffe2/utils/threadpool/*.h",
@ -1292,48 +620,12 @@ cc_library(
],
)
cc_library(
name = "caffe2_dnnlowp_avx2_ops",
srcs = [
"caffe2/quantization/server/elementwise_sum_dnnlowp_op_avx2.cc",
"caffe2/quantization/server/fully_connected_fake_lowp_op_avx2.cc",
"caffe2/quantization/server/group_norm_dnnlowp_op_avx2.cc",
"caffe2/quantization/server/norm_minimization_avx2.cc",
"caffe2/quantization/server/pool_dnnlowp_op_avx2.cc",
"caffe2/quantization/server/relu_dnnlowp_op_avx2.cc",
"caffe2/quantization/server/spatial_batch_norm_dnnlowp_op_avx2.cc",
"caffe2/quantization/server/transpose.cc",
],
copts = CAFFE2_COPTS + [
"-mf16c",
"-mavx2",
"-mfma",
"-mxsave",
],
visibility = ["//visibility:public"],
deps = [
":caffe2_headers",
"@fbgemm",
],
alwayslink = True,
)
cc_library(
name = "caffe2",
srcs = [
"caffe2/share/contrib/depthwise/depthwise3x3_conv_op.cc",
":caffe2_core_srcs",
":caffe2_ideep_srcs",
":caffe2_onnx_srcs",
":caffe2_operators_srcs",
":caffe2_opt_srcs",
":caffe2_perfkernels_srcs",
":caffe2_predictor_srcs",
":caffe2_quantization_srcs",
":caffe2_queue_srcs",
":caffe2_serialize_srcs",
":caffe2_sgd_srcs",
":caffe2_transforms_srcs",
":caffe2_utils_srcs",
],
copts = CAFFE2_COPTS + ["-mf16c"],
@ -1341,7 +633,6 @@ cc_library(
visibility = ["//visibility:public"],
deps = [
":caffe2_core_macros",
":caffe2_dnnlowp_avx2_ops",
":caffe2_headers",
":caffe2_perfkernels_avx",
":caffe2_perfkernels_avx2",
@ -1357,7 +648,6 @@ cc_library(
"@onnx",
] + if_cuda(
[
":caffe2_cuda_cpp",
":aten_cuda",
"@tensorpipe//:tensorpipe_cuda",
],
@ -1369,34 +659,16 @@ cc_library(
alwayslink = True,
)
cc_library(
name = "caffe2_cuda_cpp",
srcs = [":caffe2_cuda_cpp_srcs"],
copts = CAFFE2_COPTS,
visibility = ["//visibility:public"],
deps = [
":caffe2_cuda",
":caffe2_headers",
],
alwayslink = True,
)
cu_library(
name = "caffe2_cuda",
# one may think that `quantization_gpu.cu` could be a separate kernel,
# however that leads to de-registration problem that's described in
# https://github.com/pytorch/pytorch/issues/79236
# To solve it we add it into the `caffe2_cuda`,
# this is also aligned with the CMake build.
srcs = [":caffe2_cu_srcs"] + [
name = "torch_cuda",
srcs = [
"torch/csrc/distributed/c10d/intra_node_comm.cu",
"torch/csrc/distributed/c10d/quantization/quantization_gpu.cu",
],
copts = CAFFE2_COPTS + torch_cuda_half_options,
copts = torch_cuda_half_options,
visibility = ["//visibility:public"],
deps = [
":aten",
":caffe2_headers",
"@cuda//:cublas",
"@cuda//:curand",
"@cudnn",
@ -1574,6 +846,7 @@ cc_library(
] + if_cuda([
"@cuda//:nvToolsExt",
"@cutlass",
":torch_cuda",
]),
alwayslink = True,
)

View File

@ -232,7 +232,6 @@ option(USE_GFLAGS "Use GFLAGS" OFF)
option(USE_GLOG "Use GLOG" OFF)
option(USE_LITE_PROTO "Use lite protobuf instead of full." OFF)
option(USE_MAGMA "Use MAGMA" ON)
option(USE_METAL "Use Metal for Caffe2 iOS build" ON)
option(USE_PYTORCH_METAL "Use Metal for PyTorch iOS build" OFF)
option(USE_PYTORCH_METAL_EXPORT "Export Metal models on MacOSX desktop" OFF)
option(USE_NATIVE_ARCH "Use -march=native" OFF)

View File

@ -116,35 +116,14 @@ endif()
# Skip modules that are not used by libtorch mobile yet.
if(BUILD_CAFFE2 AND NOT INTERN_BUILD_MOBILE)
add_subdirectory(predictor)
add_subdirectory(predictor/emulator)
add_subdirectory(core/nomnigraph)
if(USE_NVRTC)
add_subdirectory(cuda_rtc)
endif()
add_subdirectory(ideep)
add_subdirectory(mobile)
add_subdirectory(mpi)
add_subdirectory(observers)
add_subdirectory(onnx)
if(BUILD_CAFFE2_OPS)
add_subdirectory(operators)
add_subdirectory(operators/rnn)
if(USE_FBGEMM)
add_subdirectory(quantization/server)
endif()
if(USE_QNNPACK)
add_subdirectory(operators/quantized)
endif()
endif()
add_subdirectory(opt)
add_subdirectory(proto)
add_subdirectory(python)
add_subdirectory(queue)
add_subdirectory(sgd)
add_subdirectory(share)
# add_subdirectory(test) # todo: use caffe2_gtest_main instead of gtest_main because we will need to call GlobalInit
add_subdirectory(transforms)
endif()
if(NOT BUILD_CAFFE2 AND NOT INTERN_BUILD_MOBILE)
add_subdirectory(proto)
@ -1239,11 +1218,6 @@ if(USE_TBB)
target_link_libraries(torch_cpu PUBLIC TBB::tbb)
endif()
if(BUILD_CAFFE2 AND BUILD_CAFFE2_OPS AND USE_FBGEMM)
# FIXME: quantization/server/conv_dnnlowp_op.cc depends on fbgemm/src/RefImplementations.h
target_include_directories(torch_cpu PRIVATE ${CMAKE_CURRENT_LIST_DIR}/../third_party)
endif()
target_include_directories(torch_cpu PRIVATE ${ATen_CPU_INCLUDE})
target_include_directories(torch_cpu PRIVATE

View File

@ -1446,13 +1446,6 @@ if(USE_SNPE AND ANDROID)
endif()
endif()
if(USE_METAL)
if(NOT IOS)
message(WARNING "Metal is only used in ios builds.")
caffe2_update_option(USE_METAL OFF)
endif()
endif()
if(USE_NNAPI AND NOT ANDROID)
message(WARNING "NNApi is only used in android builds.")
caffe2_update_option(USE_NNAPI OFF)

View File

@ -131,7 +131,6 @@ function(caffe2_print_configuration_summary)
message(STATUS " USE_GFLAGS : ${USE_GFLAGS}")
message(STATUS " USE_GLOG : ${USE_GLOG}")
message(STATUS " USE_LITE_PROTO : ${USE_LITE_PROTO}")
message(STATUS " USE_METAL : ${USE_METAL}")
message(STATUS " USE_PYTORCH_METAL : ${USE_PYTORCH_METAL}")
message(STATUS " USE_PYTORCH_METAL_EXPORT : ${USE_PYTORCH_METAL_EXPORT}")
message(STATUS " USE_MPS : ${USE_MPS}")