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BUILD
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BUILD
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# Description:
# GPU-specific components in XLA service implementation.
load("@bazel_skylib//rules:common_settings.bzl", "bool_flag")
load(
"//tensorflow/tsl/platform:build_config.bzl",
"tf_proto_library",
)
load(
"//tensorflow/tsl/platform:build_config_root.bzl",
"if_static",
"tf_cuda_tests_tags",
)
load("//tensorflow/tsl:tsl.bzl", "if_google", "if_nccl", "tsl_copts", "tsl_gpu_library")
load(
"@local_config_rocm//rocm:build_defs.bzl",
"if_rocm_is_configured",
)
load("//tensorflow/compiler/xla:xla.bzl", "xla_cc_test")
load(
"//tensorflow/compiler/xla/stream_executor:build_defs.bzl",
"if_gpu_is_configured",
)
load(
"//tensorflow/tsl/platform/default:cuda_build_defs.bzl",
"if_cuda_is_configured",
)
load("//tensorflow/tsl:tsl.default.bzl", "filegroup", "get_compatible_with_cloud")
package(
# copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
default_visibility = [":friends"],
licenses = ["notice"],
)
package_group(
name = "friends",
includes = [
"//tensorflow/compiler/xla:friends",
],
)
# Filegroup used to collect source files for dependency checking.
filegroup(
name = "c_srcs",
data = glob([
"**/*.cc",
"**/*.h",
]),
)
tf_proto_library(
name = "backend_configs",
srcs = ["backend_configs.proto"],
cc_api_version = 2,
make_default_target_header_only = True,
protodeps = [
"//tensorflow/compiler/xla:xla_data_proto",
"//tensorflow/compiler/xla/stream_executor:dnn_proto",
],
)
cc_library(
name = "gpu_executable_run_options",
srcs = ["gpu_executable_run_options.cc"],
hdrs = ["gpu_executable_run_options.h"],
compatible_with = get_compatible_with_cloud(),
visibility = ["//visibility:public"],
deps = [
"//tensorflow/compiler/xla:status_macros",
"//tensorflow/compiler/xla:statusor",
"//tensorflow/compiler/xla:types",
"//tensorflow/compiler/xla/service:executable",
"//tensorflow/compiler/xla/service:global_device_id",
"//tensorflow/compiler/xla/stream_executor",
"@com_google_absl//absl/algorithm:container",
],
)
cc_library(
name = "gpu_constants",
hdrs = ["gpu_constants.h"],
deps = [
"//tensorflow/compiler/xla:types",
],
)
cc_library(
name = "gpu_types",
hdrs = ["gpu_types.h"],
deps = [
"//tensorflow/compiler/xla:types",
"//tensorflow/compiler/xla/stream_executor:device_description",
"@com_google_absl//absl/types:variant",
],
)
cc_library(
name = "launch_dimensions",
srcs = [
"launch_dimensions.cc",
],
hdrs = [
"launch_dimensions.h",
],
compatible_with = get_compatible_with_cloud(),
deps = [
":gpu_device_info",
"//tensorflow/compiler/xla:shape_util",
"//tensorflow/tsl/platform:logging",
],
)
cc_library(
name = "custom_call_thunk",
srcs = ["custom_call_thunk.cc"],
hdrs = ["custom_call_thunk.h"],
local_defines = if_cuda_is_configured([
"GOOGLE_CUDA=1",
]),
deps = [
":buffer_allocations",
":thunk",
"//tensorflow/compiler/xla:util",
"//tensorflow/compiler/xla/service:buffer_assignment",
"//tensorflow/compiler/xla/service:custom_call_status_internal",
"//tensorflow/compiler/xla/stream_executor/gpu:gpu_stream_header",
"//tensorflow/compiler/xla/stream_executor/gpu:gpu_types_header",
"//tensorflow/tsl/platform:errors",
"@com_google_absl//absl/strings:str_format",
],
)
xla_cc_test(
name = "custom_call_test",
srcs = if_gpu_is_configured(["custom_call_test.cc"]),
local_defines = if_cuda_is_configured(["GOOGLE_CUDA=1"]),
tags = tf_cuda_tests_tags(),
deps = [
"//tensorflow/compiler/xla/tests:xla_internal_test_main", # fixdeps: keep
"//tensorflow/compiler/xla:status_macros",
"//tensorflow/compiler/xla:test_helpers",
"//tensorflow/compiler/xla:debug_options_flags",
"//tensorflow/compiler/xla/client:xla_builder",
"//tensorflow/compiler/xla/client/lib:constants",
"//tensorflow/compiler/xla/service:custom_call_status",
"//tensorflow/compiler/xla/service:custom_call_target_registry",
"//tensorflow/compiler/xla/service:gpu_plugin",
"//tensorflow/compiler/xla/runtime:module",
"//tensorflow/compiler/xla/runtime/ffi:ffi_api",
"//tensorflow/compiler/xla/runtime:module_registry",
"//tensorflow/compiler/xla/tests:client_library_test_base",
"//tensorflow/tsl/lib/core:status_test_util",
"//tensorflow/tsl/platform:test",
"//tensorflow/compiler/xla/stream_executor/gpu:gpu_types_header",
] + if_cuda_is_configured([
"@local_config_cuda//cuda:cuda_headers",
]) + if_rocm_is_configured([
"@local_config_rocm//rocm:rocm_headers",
]),
)
cc_library(
name = "hlo_to_ir_bindings",
srcs = ["hlo_to_ir_bindings.cc"],
hdrs = ["hlo_to_ir_bindings.h"],
deps = [
":buffer_allocations",
":ir_emission_utils",
"//tensorflow/compiler/xla:util",
"//tensorflow/compiler/xla/hlo/ir:hlo",
"//tensorflow/compiler/xla/service/llvm_ir:buffer_assignment_util",
"//tensorflow/compiler/xla/service/llvm_ir:ir_array",
"//tensorflow/compiler/xla/service/llvm_ir:llvm_util",
"//tensorflow/compiler/xla/service/llvm_ir:tuple_ops",
"//tensorflow/tsl/platform:logging",
"@com_google_absl//absl/container:flat_hash_map",
"@com_google_absl//absl/container:flat_hash_set",
"@com_google_absl//absl/strings",
"@com_google_absl//absl/types:span",
"@llvm-project//llvm:Core",
],
)
cc_library(
name = "target_util",
srcs = ["target_util.cc"],
hdrs = ["target_util.h"],
compatible_with = get_compatible_with_cloud(),
deps = [
"//tensorflow/compiler/xla:xla_data_proto_cc",
"//tensorflow/compiler/xla/service/llvm_ir:llvm_type_conversion_util",
"//tensorflow/compiler/xla/service/llvm_ir:llvm_util",
"//tensorflow/tsl/platform:logging",
"@com_google_absl//absl/strings",
"@com_google_absl//absl/types:span",
"@llvm-project//llvm:Core",
"@llvm-project//llvm:Support",
],
)
xla_cc_test(
name = "target_util_test",
srcs = ["target_util_test.cc"],
deps = [
":target_util",
"//tensorflow/compiler/xla/tests:xla_internal_test_main",
"//tensorflow/tsl/platform:test",
"@llvm-project//llvm:Core",
],
)
cc_library(
name = "gpu_device_info",
srcs = ["gpu_device_info.cc"],
hdrs = ["gpu_device_info.h"],
compatible_with = get_compatible_with_cloud(),
deps = [
"//tensorflow/compiler/xla/stream_executor:device_description_proto_cc",
"//tensorflow/compiler/xla/stream_executor:stream_executor_headers",
],
)
cc_library(
name = "gpu_device_info_for_tests",
testonly = 1,
srcs = ["gpu_device_info_for_tests.cc"],
hdrs = ["gpu_device_info_for_tests.h"],
compatible_with = get_compatible_with_cloud(),
deps = [
":gpu_device_info",
],
)
xla_cc_test(
name = "gpu_device_info_test",
srcs = ["gpu_device_info_test.cc"],
tags = tf_cuda_tests_tags(),
deps = [
":gpu_device_info_for_tests",
"//tensorflow/compiler/xla/stream_executor",
"//tensorflow/compiler/xla/stream_executor:device_description",
"//tensorflow/compiler/xla/stream_executor/cuda:cuda_driver",
"//tensorflow/tsl/platform:test_main",
"@com_google_googletest//:gtest_main",
"@local_config_cuda//cuda:cuda_headers",
],
)
cc_library(
name = "ir_emitter_context",
srcs = [
"ir_emitter_context.cc",
],
hdrs = [
"ir_emitter_context.h",
],
deps = [
":gpu_constants",
":gpu_device_info",
":gpu_executable",
"//tensorflow/compiler/xla/service:buffer_assignment",
"//tensorflow/compiler/xla/service:name_uniquer",
"@llvm-project//llvm:ir_headers",
"@llvm-project//mlir:IR",
],
)
cc_library(
name = "ir_emitter",
srcs = [
"ir_emitter.cc",
"ir_emitter_nested.cc",
"ir_emitter_unnested.cc",
],
hdrs = [
"ir_emitter.h",
"ir_emitter_nested.h",
"ir_emitter_unnested.h",
"kernel_mapping_scheme.h",
],
copts = if_cuda_is_configured(["-DGOOGLE_CUDA=1"]),
deps = [
":backend_configs_cc",
":buffer_allocations",
":elemental_ir_emitter",
":ir_emitter_context",
":fft_thunk",
":gpu_asm_opts_util",
":gpu_constants",
":gpu_conv_runner",
":gpu_executable",
":gpu_device_info",
":gpu_fusible",
":hlo_to_ir_bindings",
":ir_emission_utils",
":launch_dimensions",
":matmul_utils",
":nccl_collective_thunks",
":parallel_loop_emitter",
":target_util",
":thunk",
"@com_google_absl//absl/algorithm:container",
"@com_google_absl//absl/container:flat_hash_set",
"@com_google_absl//absl/container:inlined_vector",
"@com_google_absl//absl/memory",
"@com_google_absl//absl/strings",
"@com_google_absl//absl/strings:str_format",
"@com_google_absl//absl/types:span",
"@llvm-project//llvm:Core",
"@llvm-project//llvm:Linker",
"@llvm-project//llvm:Support",
"@llvm-project//mlir:ArithDialect",
"@llvm-project//mlir:FuncDialect",
"@llvm-project//mlir:GPUDialect",
"@llvm-project//mlir:LLVMDialect",
"@llvm-project//mlir:LLVMToLLVMIRTranslation",
"@llvm-project//mlir:ToLLVMIRTranslation",
"@llvm-project//mlir:IR",
"@llvm-project//mlir:MemRefDialect",
"@llvm-project//mlir:ROCDLToLLVMIRTranslation",
"@llvm-project//mlir:Support",
"@llvm-project//mlir:NVVMToLLVMIRTranslation",
"//tensorflow/compiler/xla/translate/mhlo_to_lhlo_with_xla",
"//tensorflow/compiler/xla/mlir_hlo",
"//tensorflow/compiler/xla/mlir_hlo:lhlo",
"//tensorflow/compiler/xla/mlir_hlo:lhlo_gpu",
"//tensorflow/compiler/xla/mlir_hlo:transforms_gpu_passes",
"//tensorflow/compiler/xla/translate/hlo_to_mhlo:hlo_module_importer",
"//tensorflow/compiler/xla/translate/hlo_to_mhlo:hlo_utils",
"//tensorflow/compiler/xla/translate/mhlo_to_hlo:mlir_hlo_to_hlo",
"//tensorflow/compiler/xla/translate/mhlo_to_hlo:type_to_shape",
"//tensorflow/compiler/xla:literal",
"//tensorflow/compiler/xla:permutation_util",
"//tensorflow/compiler/xla:shape_util",
"//tensorflow/compiler/xla:status_macros",
"//tensorflow/compiler/xla:statusor",
"//tensorflow/compiler/xla:types",
"//tensorflow/compiler/xla:union_find",
"//tensorflow/compiler/xla:util",
"//tensorflow/compiler/xla:window_util",
"//tensorflow/compiler/xla:xla_data_proto_cc",
"//tensorflow/compiler/xla/service:buffer_assignment",
"//tensorflow/compiler/xla/service:collective_ops_utils",
"//tensorflow/compiler/xla/service:custom_call_status",
"//tensorflow/compiler/xla/service:custom_call_target_registry",
"//tensorflow/compiler/xla/service:elemental_ir_emitter",
"//tensorflow/compiler/xla/hlo/ir:hlo",
"//tensorflow/compiler/xla/service:hlo_execution_profile",
"//tensorflow/compiler/xla/service:name_uniquer",
"//tensorflow/compiler/xla/service:pattern_matcher",
"//tensorflow/compiler/xla/service:shape_inference",
"//tensorflow/compiler/xla/service:while_loop_analysis",
"//tensorflow/compiler/xla/service/llvm_ir:buffer_assignment_util",
"//tensorflow/compiler/xla/service/llvm_ir:dynamic_update_slice_util",
"//tensorflow/compiler/xla/service/llvm_ir:fused_ir_emitter",
"//tensorflow/compiler/xla/service/llvm_ir:ir_array",
"//tensorflow/compiler/xla/service/llvm_ir:ir_builder_mixin",
"//tensorflow/compiler/xla/service/llvm_ir:kernel_support_library",
"//tensorflow/compiler/xla/service/llvm_ir:llvm_loop",
"//tensorflow/compiler/xla/service/llvm_ir:llvm_type_conversion_util",
"//tensorflow/compiler/xla/service/llvm_ir:llvm_util",
"//tensorflow/compiler/xla/service/llvm_ir:loop_emitter",
"//tensorflow/compiler/xla/service/llvm_ir:sort_util",
"//tensorflow/compiler/xla/service/llvm_ir:tuple_ops",
"//tensorflow/compiler/xla/translate/mhlo_to_hlo:attribute_exporter",
"//tensorflow/compiler/xla/translate/mhlo_to_hlo:location_exporter",
"//tensorflow/tsl/platform:errors",
"//tensorflow/tsl/platform:logging",
"//tensorflow/tsl/platform:human_readable_json",
"//tensorflow/tsl/platform:status",
"//tensorflow/tsl/protobuf:dnn_proto_cc",
] + if_gpu_is_configured([
":triangular_solve_thunk",
":cholesky_thunk",
]) + if_cuda_is_configured([
":cublas_lt_matmul_thunk",
]),
)
cc_library(
name = "parallel_loop_emitter",
srcs = ["parallel_loop_emitter.cc"],
hdrs = ["parallel_loop_emitter.h"],
compatible_with = get_compatible_with_cloud(),
deps = [
":launch_dimensions",
":target_util",
"//tensorflow/compiler/xla:shape_util",
"//tensorflow/compiler/xla:xla_data_proto_cc",
"//tensorflow/compiler/xla/service/llvm_ir:ir_array",
"//tensorflow/compiler/xla/service/llvm_ir:kernel_support_library",
"//tensorflow/compiler/xla/service/llvm_ir:llvm_loop",
"//tensorflow/compiler/xla/service/llvm_ir:llvm_util",
"//tensorflow/compiler/xla/service/llvm_ir:loop_emitter",
"//tensorflow/tsl/platform:errors",
"//tensorflow/tsl/platform:logging",
"@llvm-project//llvm:Core",
],
)
cc_library(
name = "elemental_ir_emitter",
srcs = ["elemental_ir_emitter.cc"],
hdrs = ["elemental_ir_emitter.h"],
deps = [
":backend_configs_cc",
":ir_emitter_context",
":target_util",
"//tensorflow/compiler/xla:literal",
"//tensorflow/compiler/xla:shape_util",
"//tensorflow/compiler/xla:status_macros",
"//tensorflow/compiler/xla:statusor",
"//tensorflow/compiler/xla:types",
"//tensorflow/compiler/xla:util",
"//tensorflow/compiler/xla:window_util",
"//tensorflow/compiler/xla:xla_data_proto_cc",
"//tensorflow/compiler/xla/hlo/ir:hlo",
"//tensorflow/compiler/xla/service:elemental_ir_emitter",
"//tensorflow/compiler/xla/service:hlo_module_config",
"//tensorflow/compiler/xla/service/llvm_ir:ir_array",
"//tensorflow/compiler/xla/service/llvm_ir:llvm_loop",
"//tensorflow/compiler/xla/service/llvm_ir:llvm_util",
"//tensorflow/compiler/xla/service/llvm_ir:loop_emitter",
"//tensorflow/compiler/xla/service/llvm_ir:math_ops",
"//tensorflow/tsl/platform:logging",
"@com_google_absl//absl/strings",
"@com_google_absl//absl/types:span",
"@llvm-project//llvm:Core",
"@llvm-project//llvm:Support",
],
)
cc_library(
name = "buffer_allocations",
srcs = ["buffer_allocations.cc"],
hdrs = ["buffer_allocations.h"],
deps = [
":gpu_constants",
"//tensorflow/compiler/xla:status_macros",
"//tensorflow/compiler/xla:statusor",
"//tensorflow/compiler/xla:types",
"//tensorflow/compiler/xla:util",
"//tensorflow/compiler/xla/service:buffer_assignment",
"//tensorflow/compiler/xla/stream_executor",
"//tensorflow/compiler/xla/stream_executor:device_memory_allocator",
"//tensorflow/tsl/lib/gtl:map_util",
"//tensorflow/tsl/platform:errors",
"//tensorflow/tsl/platform:logging",
"@com_google_absl//absl/container:flat_hash_map",
"@com_google_absl//absl/memory",
"@com_google_absl//absl/strings:str_format",
"@com_google_absl//absl/types:span",
],
)
cc_library(
name = "thunk",
srcs = ["thunk.cc"],
hdrs = ["thunk.h"],
deps = [
":buffer_allocations",
":gpu_executable_run_options",
"//tensorflow/compiler/xla:executable_run_options",
"//tensorflow/compiler/xla/hlo/ir:hlo",
"//tensorflow/compiler/xla/service:executable",
"//tensorflow/compiler/xla/stream_executor",
"//tensorflow/tsl/platform:status",
"@llvm-project//mlir:IR",
],
)
tsl_gpu_library(
name = "nccl_collective_thunks",
srcs = [
"nccl_all_gather_thunk.cc",
"nccl_all_reduce_thunk.cc",
"nccl_all_to_all_thunk.cc",
"nccl_collective_permute_thunk.cc",
"nccl_collective_thunk.cc",
],
hdrs = [
"nccl_all_gather_thunk.h",
"nccl_all_reduce_thunk.h",
"nccl_all_to_all_thunk.h",
"nccl_collective_permute_thunk.h",
"nccl_collective_thunk.h",
],
# Override tsl_gpu_library()'s internal default value of ["//buildenv/target:gce"].
compatible_with = [],
deps = [
":buffer_allocations",
":ir_emission_utils",
":nccl_utils",
":thunk",
"//tensorflow/compiler/xla:shape_util",
"//tensorflow/compiler/xla:util",
"//tensorflow/compiler/xla:xla_data_proto_cc",
"//tensorflow/compiler/xla/hlo/ir:hlo",
"//tensorflow/compiler/xla/mlir_hlo:lhlo",
"//tensorflow/compiler/xla/mlir_hlo:lhlo_gpu",
"//tensorflow/compiler/xla/service:buffer_assignment",
"//tensorflow/compiler/xla/service:collective_ops_utils",
"//tensorflow/compiler/xla/service:global_device_id",
"//tensorflow/compiler/xla/stream_executor/gpu:gpu_activation_header",
"//tensorflow/compiler/xla/stream_executor/gpu:gpu_stream",
"//tensorflow/compiler/xla/translate/hlo_to_mhlo:hlo_utils",
"//tensorflow/compiler/xla/translate/mhlo_to_hlo:attribute_exporter",
"//tensorflow/compiler/xla/translate/mhlo_to_hlo:type_to_shape",
"//tensorflow/tsl/platform:logging",
"@com_google_absl//absl/algorithm:container",
"@com_google_absl//absl/base",
"@com_google_absl//absl/container:flat_hash_map",
"@com_google_absl//absl/container:flat_hash_set",
"@com_google_absl//absl/functional:function_ref",
"@com_google_absl//absl/strings",
"@com_google_absl//absl/strings:str_format",
"@com_google_absl//absl/synchronization",
"@llvm-project//mlir:IR",
],
)
# Empty library to implement nested dependency conditions.
cc_library(name = "empty")
# If NCCL/RCCL is supported, this target '#defines XLA_ENABLE_XCCL' and
# provides a header which #includes NCCL/RCCL.
alias(
name = "nccl_utils",
actual = if_nccl(":_nccl_utils", ":empty"),
)
# Do not depend on this target, but rather depend on :nccl_utils.
tsl_gpu_library(
name = "_nccl_utils",
srcs = if_gpu_is_configured(["nccl_utils.cc"]),
hdrs = if_gpu_is_configured(["nccl_utils.h"]),
# Override tsl_gpu_library()'s internal default value of ["//buildenv/target:gce"].
compatible_with = [],
defines = if_gpu_is_configured(["XLA_ENABLE_XCCL"]),
tags = ["manual"], # Only builds with if_nccl().
deps = if_gpu_is_configured([
":gpu_executable_run_options",
":thunk",
"@com_google_absl//absl/strings:str_format",
"@com_google_absl//absl/container:flat_hash_map",
"@com_google_absl//absl/synchronization",
"@com_google_absl//absl/time",
"//tensorflow/compiler/xla:debug_options_flags",
"//tensorflow/compiler/xla:status",
"//tensorflow/compiler/xla:status_macros",
"//tensorflow/compiler/xla:statusor",
"//tensorflow/compiler/xla:xla_data_proto_cc",
"//tensorflow/compiler/xla/service:collective_ops_utils",
"//tensorflow/compiler/xla/service:global_device_id",
"//tensorflow/compiler/xla/service:rendezvous",
"//tensorflow/tsl/platform:logging",
"//tensorflow/tsl/platform:env",
]) + if_cuda_is_configured([
"@local_config_nccl//:nccl",
]) + if_rocm_is_configured([
"@local_config_rocm//rocm:rccl",
]),
)
# TODO(b/244780257): Remove this config.
bool_flag(
name = "enable_xlir",
build_setting_default = if_google(True, False),
)
cc_library(
name = "gpu_executable",
srcs = [
"conditional_thunk.cc",
"convolution_thunk.cc",
"copy_thunk.cc",
"for_thunk.cc",
"gpu_executable.cc",
"infeed_thunk.cc",
"kernel_thunk.cc",
"memset_thunk.cc",
"outfeed_thunk.cc",
"replica_id_thunk.cc",
"sequential_thunk.cc",
"while_thunk.cc",
],
hdrs = [
"conditional_thunk.h",
"convolution_thunk.h",
"copy_thunk.h",
"custom_call_thunk.h",
"for_thunk.h",
"gemm_thunk.h",
"gpu_executable.h",
"infeed_thunk.h",
"kernel_thunk.h",
"memset_thunk.h",
"outfeed_thunk.h",
"replica_id_thunk.h",
"sequential_thunk.h",
"while_thunk.h",
],
deps = [
":non_atomically_upgradeable_rw_lock",
":backend_configs_cc",
":buffer_allocations",
":cusolver_context",
":custom_call_thunk",
":fft_thunk",
":gemm_thunk",
":gpu_asm_opts_util",
":gpu_constants",
":gpu_conv_runner",
":gpu_executable_run_options",
":gpu_types",
":io_feed_manager",
":ir_emission_utils",
":launch_dimensions",
":matmul_utils",
":nccl_collective_thunks",
":stream_executor_util",
":thunk",
"@com_google_absl//absl/algorithm:container",
"@com_google_absl//absl/base",
"@com_google_absl//absl/base:core_headers",
"@com_google_absl//absl/cleanup",
"@com_google_absl//absl/container:flat_hash_map",
"@com_google_absl//absl/container:flat_hash_set",
"@com_google_absl//absl/memory",
"@com_google_absl//absl/strings",
"@com_google_absl//absl/strings:str_format",
"@com_google_absl//absl/synchronization",
"@com_google_absl//absl/types:span",
"@com_google_absl//absl/types:variant",
"@llvm-project//mlir:FuncDialect",
"@llvm-project//mlir:IR",
"@llvm-project//mlir:Parser",
"@llvm-project//mlir:Support",
"//tensorflow/compiler/xla/service/gpu/runtime:gemm",
"//tensorflow/compiler/xla:array2d",
"//tensorflow/compiler/xla:literal",
"//tensorflow/compiler/xla:refcounting_hash_map",
"//tensorflow/compiler/xla:shape_tree",
"//tensorflow/compiler/xla:shape_util",
"//tensorflow/compiler/xla:status",
"//tensorflow/compiler/xla:status_macros",
"//tensorflow/compiler/xla:statusor",
"//tensorflow/compiler/xla:types",
"//tensorflow/compiler/xla:util",
"//tensorflow/compiler/xla:xla_data_proto_cc",
"//tensorflow/compiler/xla/mlir/runtime/transforms:compilation_pipeline_gpu",
"//tensorflow/compiler/xla/mlir/runtime/transforms:type_converter",
"//tensorflow/compiler/xla/mlir/runtime/ir:rt",
"//tensorflow/compiler/xla/mlir_hlo:lhlo_gpu",
"//tensorflow/compiler/xla/runtime:diagnostics",
"//tensorflow/compiler/xla/runtime:executable",
"//tensorflow/compiler/xla/runtime:jit_executable",
"//tensorflow/compiler/xla/service:buffer_assignment",
"//tensorflow/compiler/xla/service:custom_call_status_internal",
"//tensorflow/compiler/xla/service:executable",
"//tensorflow/compiler/xla/hlo/ir:hlo",
"//tensorflow/compiler/xla/service:hlo_dataflow_analysis",
"//tensorflow/compiler/xla/service:hlo_execution_profile",
"//tensorflow/compiler/xla/service:hlo_parser",
"//tensorflow/compiler/xla/service:logical_buffer",
"//tensorflow/compiler/xla/service:shaped_buffer",
"//tensorflow/compiler/xla/service:transfer_manager",
"//tensorflow/compiler/xla/service:xla_debug_info_manager",
"//tensorflow/compiler/xla/service/gpu/runtime:kernel_launch",
"//tensorflow/compiler/xla/service/gpu/runtime:collectives",
"//tensorflow/compiler/xla/service/gpu/runtime:cublas_lt_matmul",
"//tensorflow/compiler/xla/service/gpu/runtime:support",
"//tensorflow/compiler/xla/service/gpu/runtime:executable",
"//tensorflow/compiler/xla/service/llvm_ir:buffer_assignment_util",
"//tensorflow/compiler/xla/stream_executor",
"//tensorflow/compiler/xla/stream_executor:blas",
"//tensorflow/compiler/xla/stream_executor:device_memory",
"//tensorflow/compiler/xla/stream_executor:device_memory_allocator",
"//tensorflow/compiler/xla/stream_executor:kernel",
"//tensorflow/compiler/xla/stream_executor:scratch_allocator",
"//tensorflow/compiler/xla/stream_executor/gpu:asm_compiler",
"//tensorflow/compiler/xla/stream_executor/gpu:gpu_asm_opts",
"//tensorflow/compiler/xla/stream_executor/gpu:gpu_stream",
"//tensorflow/compiler/xla/stream_executor/gpu:gpu_types_header",
"//tensorflow/tsl/platform:casts",
"//tensorflow/tsl/profiler/lib:scoped_annotation",
"//tensorflow/tsl/profiler/lib:traceme",
"//tensorflow/tsl/platform:errors",
"//tensorflow/tsl/platform:logging",
"//tensorflow/tsl/platform:status",
"//tensorflow/tsl/lib/gtl:map_util",
] + if_gpu_is_configured([
":cholesky_thunk",
":precompiled_kernels",
":triangular_solve_thunk",
]) + if_cuda_is_configured([
"//tensorflow/compiler/xla/stream_executor/cuda:cuda_stream",
"//tensorflow/tsl/platform/default/build_config:cublas_plugin",
"//tensorflow/tsl/platform/default/build_config:cudnn_plugin",
"//tensorflow/tsl/platform/default/build_config:cufft_plugin",
"//tensorflow/compiler/xla/stream_executor/cuda:stream_executor_cuda",
"@local_config_cuda//cuda:cuda_headers",
]) + if_rocm_is_configured([
"//tensorflow/compiler/xla/stream_executor/rocm:stream_executor_rocm",
"@local_config_rocm//rocm:rocm_headers",
]),
)
cc_library(
name = "ir_emission_utils",
srcs = ["ir_emission_utils.cc"],
hdrs = ["ir_emission_utils.h"],
compatible_with = get_compatible_with_cloud(),
deps = [
":target_util",
"//tensorflow/compiler/xla/hlo/ir:hlo",
"//tensorflow/compiler/xla/mlir_hlo",
"//tensorflow/compiler/xla/mlir_hlo:lhlo",
"//tensorflow/compiler/xla/service:buffer_assignment",
"//tensorflow/compiler/xla/service:hlo_parser",
"//tensorflow/compiler/xla/service/llvm_ir:llvm_type_conversion_util",
"//tensorflow/compiler/xla/stream_executor",
"//tensorflow/compiler/xla/translate/mhlo_to_hlo:type_to_shape",
"@llvm-project//llvm:Core",
"@llvm-project//mlir:ArithDialect",
],
)
xla_cc_test(
name = "ir_emission_utils_test",
srcs = ["ir_emission_utils_test.cc"],
deps = [
":ir_emission_utils",
"//tensorflow/compiler/xla/mlir_hlo:lhlo",
"//tensorflow/compiler/xla/tests:hlo_test_base",
"//tensorflow/compiler/xla/tests:test_utils",
"//tensorflow/compiler/xla/tests:xla_internal_test_main", # fixdeps: keep
"//tensorflow/tsl/platform:test",
"@llvm-project//mlir:FuncDialect",
"@llvm-project//mlir:IR",
"@llvm-project//mlir:Parser",
],
)
cc_library(
name = "cublas_cudnn",
srcs = ["cublas_cudnn.cc"],
hdrs = ["cublas_cudnn.h"],
compatible_with = get_compatible_with_cloud(),
deps = [
"//tensorflow/compiler/xla/hlo/ir:hlo",
"//tensorflow/tsl/platform:statusor",
"@com_google_absl//absl/strings",
],
)
# TODO(ezhulenev): Extract `RunCholesky` into a separate library.
cc_library(
name = "cholesky_thunk",
srcs = if_gpu_is_configured(["cholesky_thunk.cc"]),
hdrs = if_gpu_is_configured(["cholesky_thunk.h"]),
deps = if_gpu_is_configured([
":buffer_allocations",
":cusolver_context",
":precompiled_kernels",
":thunk",
"@com_google_absl//absl/base",
"@com_google_absl//absl/strings",
"@com_google_absl//absl/strings:str_format",
"@com_google_absl//absl/types:optional",
"//tensorflow/compiler/xla:types",
"//tensorflow/compiler/xla:util",
"//tensorflow/compiler/xla:xla_data_proto_cc",
"//tensorflow/compiler/xla/service:buffer_assignment",
"//tensorflow/compiler/xla/hlo/ir:hlo",
"//tensorflow/tsl/platform:logging",
"//tensorflow/compiler/xla/stream_executor",
"//tensorflow/compiler/xla/stream_executor:device_memory",
"//tensorflow/compiler/xla/stream_executor:stream_executor_headers",
"//tensorflow/compiler/xla/stream_executor/gpu:gpu_asm_opts",
]) + ["//tensorflow/tsl/platform:status"],
)
# TODO(ezhulenev): Extract `RunTriangularSolve` into a separate library.
cc_library(
name = "triangular_solve_thunk",
srcs = if_gpu_is_configured(["triangular_solve_thunk.cc"]),
hdrs = if_gpu_is_configured(["triangular_solve_thunk.h"]),
deps = if_gpu_is_configured([
":buffer_allocations",
":cusolver_context",
":precompiled_kernels",
":thunk",
"@com_google_absl//absl/base",
"@com_google_absl//absl/strings",
"@com_google_absl//absl/strings:str_format",
"@com_google_absl//absl/types:optional",
"//tensorflow/compiler/xla:types",
"//tensorflow/compiler/xla:util",
"//tensorflow/compiler/xla:xla_data_proto_cc",
"//tensorflow/compiler/xla/service:buffer_assignment",
"//tensorflow/compiler/xla/hlo/ir:hlo",
"//tensorflow/tsl/platform:logging",
"//tensorflow/compiler/xla/stream_executor",
"//tensorflow/compiler/xla/stream_executor:device_memory",
"//tensorflow/compiler/xla/stream_executor:stream_executor_headers",
"//tensorflow/compiler/xla/stream_executor/gpu:gpu_asm_opts",
]) + ["//tensorflow/tsl/platform:status"],
)
cc_library(
name = "fft_thunk",
srcs = ["fft_thunk.cc"],
hdrs = ["fft_thunk.h"],
deps = [
":buffer_allocations",
":thunk",
"//tensorflow/compiler/xla:types",
"//tensorflow/compiler/xla:util",
"//tensorflow/compiler/xla:xla_data_proto_cc",
"//tensorflow/compiler/xla/hlo/ir:hlo",
"//tensorflow/compiler/xla/service:buffer_assignment",
"//tensorflow/compiler/xla/stream_executor",
"//tensorflow/compiler/xla/stream_executor:scratch_allocator",
"//tensorflow/compiler/xla/stream_executor:stream_executor_headers",
"//tensorflow/tsl/platform:logging",
"//tensorflow/tsl/platform:status",
"@com_google_absl//absl/container:flat_hash_map",
"@com_google_absl//absl/strings",
"@com_google_absl//absl/strings:str_format",
],
)
cc_library(
name = "gemm_rewriter",
srcs = ["gemm_rewriter.cc"],
hdrs = ["gemm_rewriter.h"],
defines = if_cuda_is_configured(["GOOGLE_CUDA=1"]),
deps = [
":backend_configs_cc",
":cublas_cudnn",
":ir_emission_utils",
":matmul_utils",
"//tensorflow/compiler/xla:literal_comparison",
"//tensorflow/compiler/xla:status_macros",
"//tensorflow/compiler/xla:statusor",
"//tensorflow/compiler/xla:xla_data_proto_cc",
"//tensorflow/compiler/xla/hlo/evaluator:hlo_evaluator",
"//tensorflow/compiler/xla/hlo/ir:hlo",
"//tensorflow/compiler/xla/service:hlo_creation_utils",
"//tensorflow/compiler/xla/service:hlo_pass",
"//tensorflow/compiler/xla/service:pattern_matcher",
"//tensorflow/compiler/xla/stream_executor:blas",
"//tensorflow/tsl/platform:errors",
"//tensorflow/tsl/protobuf:dnn_proto_cc",
"@com_google_absl//absl/algorithm:container",
"@com_google_absl//absl/strings",
],
)
cc_library(
name = "gemm_thunk",
srcs = ["gemm_thunk.cc"],
hdrs = ["gemm_thunk.h"],
deps = [
":matmul_utils",
":thunk",
"//tensorflow/compiler/xla:status",
"//tensorflow/compiler/xla/service:buffer_assignment",
"//tensorflow/compiler/xla/stream_executor:device_memory",
"//tensorflow/compiler/xla/stream_executor:stream_executor_headers",
"//tensorflow/tsl/platform:logging",
],
)
cc_library(
name = "cublas_lt_matmul_thunk",
srcs = if_cuda_is_configured(["cublas_lt_matmul_thunk.cc"]),
hdrs = if_cuda_is_configured(["cublas_lt_matmul_thunk.h"]),
deps = if_cuda_is_configured([
":matmul_utils",
":thunk",
"//tensorflow/compiler/xla/service:buffer_assignment",
"//tensorflow/compiler/xla:status",
"//tensorflow/tsl/platform/default/build_config:cublas_plugin",
"//tensorflow/compiler/xla/stream_executor:device_memory",
"//tensorflow/compiler/xla/stream_executor:stream_executor_headers",
"//tensorflow/compiler/xla/stream_executor/cuda:cublas_lt_header",
]) + ["//tensorflow/tsl/platform:logging"],
)
cc_library(
name = "gemm_algorithm_picker",
srcs = if_cuda_is_configured(["gemm_algorithm_picker.cc"]),
hdrs = if_cuda_is_configured(["gemm_algorithm_picker.h"]),
deps = if_cuda_is_configured([
":backend_configs_cc",
":buffer_comparator",
":gemm_thunk",
":gpu_asm_opts_util",
":gpu_conv_runner",
":ir_emission_utils",
":matmul_utils",
":stream_executor_util",
"@com_google_absl//absl/strings",
"//tensorflow/compiler/xla:autotune_results_proto_cc",
"//tensorflow/compiler/xla/hlo/ir:hlo",
"//tensorflow/compiler/xla/service:hlo_pass",
"//tensorflow/compiler/xla:status_macros",
"//tensorflow/compiler/xla/stream_executor",
"//tensorflow/compiler/xla/stream_executor:blas",
"//tensorflow/compiler/xla/stream_executor/cuda:cublas_lt_header",
"//tensorflow/compiler/xla/stream_executor:device_memory",
"//tensorflow/compiler/xla/stream_executor:device_memory_allocator",
"//tensorflow/compiler/xla/stream_executor/gpu:redzone_allocator",
"//tensorflow/compiler/xla:util",
"//tensorflow/tsl/platform:errors",
"//tensorflow/tsl/platform/default/build_config:cublas_plugin",
"//tensorflow/tsl/platform:logger",
"//tensorflow/tsl/platform:logging",
"//tensorflow/tsl/platform:statusor",
"//tensorflow/tsl/protobuf:autotuning_proto_cc",
"//tensorflow/tsl/util/proto:proto_utils",
]),
)
xla_cc_test(
name = "gemm_algorithm_picker_test",
srcs = ["gemm_algorithm_picker_test.cc"],
tags = [
"gpu",
"no_oss",
"noasan",
"nomsan",
"requires-gpu-sm70",
],
deps = [
":gemm_algorithm_picker",
":gemm_rewriter",
"//tensorflow/compiler/xla:autotune_results_proto_cc",
"//tensorflow/compiler/xla/service:gpu_plugin",
"//tensorflow/compiler/xla/service:pattern_matcher",
"//tensorflow/compiler/xla/service:pattern_matcher_gmock",
"//tensorflow/compiler/xla/stream_executor:device_description",
"//tensorflow/compiler/xla/tests:hlo_test_base",
"//tensorflow/tsl/lib/core:status_test_util",
"//tensorflow/tsl/platform:statusor",
"//tensorflow/tsl/platform:test",
"//tensorflow/tsl/platform:test_main",
"//tensorflow/tsl/protobuf:dnn_proto_cc",
],
)
cc_library(
name = "matmul_utils",
srcs = ["matmul_utils.cc"],
hdrs = ["matmul_utils.h"],
compatible_with = get_compatible_with_cloud(),
defines = if_cuda_is_configured(["GOOGLE_CUDA=1"]),
deps = [
":backend_configs_cc",
":ir_emission_utils",
"@com_google_absl//absl/algorithm:container",
"@com_google_absl//absl/types:span",
"//tensorflow/compiler/xla/mlir_hlo",
"//tensorflow/compiler/xla/mlir_hlo:lhlo_gpu",
"//tensorflow/compiler/xla:shape_util",
"//tensorflow/compiler/xla:status_macros",
"//tensorflow/compiler/xla:statusor",
"//tensorflow/compiler/xla:types",
"//tensorflow/compiler/xla:util",
"//tensorflow/compiler/xla:xla_data_proto_cc",
"//tensorflow/compiler/xla/hlo/ir:hlo",
"//tensorflow/tsl/platform:statusor",
"//tensorflow/compiler/xla/stream_executor:stream_executor_headers",
] + if_cuda_is_configured([
"//tensorflow/compiler/xla/stream_executor/cuda:cublas_lt_header",
"//tensorflow/tsl/platform/default/build_config:cublas_plugin",
"//tensorflow/tsl/platform:tensor_float_32_hdr_lib",
"//tensorflow/compiler/xla/stream_executor:host_or_device_scalar",
"//tensorflow/compiler/xla/stream_executor:scratch_allocator",
]) + if_static([
"//tensorflow/tsl/platform:tensor_float_32_utils",
]),
)
xla_cc_test(
name = "matmul_utils_test",
srcs = ["matmul_utils_test.cc"],
deps = [
":matmul_utils",
"//tensorflow/compiler/xla:test",
"//tensorflow/compiler/xla/service:hlo_parser",
"//tensorflow/compiler/xla/tests:xla_internal_test_main", # build_cleaner: keep
"//tensorflow/tsl/platform:status_matchers",
"@com_google_absl//absl/strings",
],
)