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# Description:
# Libraries for helping construct LLVM IR for XLA backends.
licenses(["notice"]) # Apache 2.0
package(default_visibility = [":friends"])
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",
]),
)
cc_library(
name = "alias_analysis",
srcs = ["alias_analysis.cc"],
hdrs = ["alias_analysis.h"],
deps = [
":ir_array",
":llvm_util",
"//tensorflow/compiler/xla:types",
"//tensorflow/compiler/xla/service:buffer_assignment",
"//tensorflow/compiler/xla/service:hlo",
"//tensorflow/compiler/xla/service:logical_buffer",
"//tensorflow/core:lib",
"@llvm//:core",
],
)
cc_library(
name = "llvm_util",
srcs = ["llvm_util.cc"],
hdrs = ["llvm_util.h"],
deps = [
"//tensorflow/compiler/xla:literal_util",
"//tensorflow/compiler/xla:shape_util",
"//tensorflow/compiler/xla:types",
"//tensorflow/compiler/xla:util",
"//tensorflow/compiler/xla:xla_data_proto",
"//tensorflow/compiler/xla/service:hlo",
"//tensorflow/compiler/xla/service:hlo_module_config",
"//tensorflow/compiler/xla/service:name_uniquer",
"//tensorflow/core:lib",
"@llvm//:core",
"@llvm//:support",
"@llvm//:target",
"@llvm//:transform_utils",
],
)
cc_library(
name = "ir_array",
srcs = ["ir_array.cc"],
hdrs = ["ir_array.h"],
deps = [
":llvm_util",
"//tensorflow/compiler/xla:shape_util",
"//tensorflow/compiler/xla:statusor",
"//tensorflow/compiler/xla:types",
"//tensorflow/compiler/xla:util",
"//tensorflow/compiler/xla:xla_data_proto",
"//tensorflow/core:lib",
"@llvm//:core",
],
)
cc_library(
name = "llvm_loop",
srcs = ["llvm_loop.cc"],
hdrs = ["llvm_loop.h"],
deps = [
":ir_array",
":llvm_util",
"//tensorflow/compiler/xla:shape_util",
"//tensorflow/compiler/xla:types",
"//tensorflow/compiler/xla:xla_data_proto",
"//tensorflow/core:lib",
"@llvm//:core",
],
)
cc_library(
name = "loop_emitter",
srcs = ["loop_emitter.cc"],
hdrs = ["loop_emitter.h"],
deps = [
":ir_array",
":llvm_loop",
"//tensorflow/compiler/xla:shape_util",
"//tensorflow/compiler/xla:status_macros",
"//tensorflow/compiler/xla:statusor",
"//tensorflow/compiler/xla:types",
"//tensorflow/compiler/xla:xla_data_proto",
"//tensorflow/core:lib",
"@llvm//:core",
],
)
cc_library(
name = "fused_ir_emitter",
srcs = ["fused_ir_emitter.cc"],
hdrs = ["fused_ir_emitter.h"],
deps = [
":ir_array",
":llvm_util",
":loop_emitter",
":tuple_ops",
"//tensorflow/compiler/xla:status_macros",
"//tensorflow/compiler/xla:statusor",
"//tensorflow/compiler/xla:util",
"//tensorflow/compiler/xla:xla_data_proto",
"//tensorflow/compiler/xla/service:elemental_ir_emitter",
"//tensorflow/compiler/xla/service:hlo",
"//tensorflow/core:lib",
"@llvm//:core",
],
)
cc_library(
name = "ops",
srcs = ["ops.cc"],
hdrs = ["ops.h"],
deps = [
":fused_ir_emitter",
":ir_array",
":llvm_util",
":loop_emitter",
"//tensorflow/compiler/xla/service:buffer_assignment",
"//tensorflow/compiler/xla/service:elemental_ir_emitter",
"//tensorflow/compiler/xla/service:hlo",
"//tensorflow/compiler/xla/service/gpu:parallel_loop_emitter",
"//tensorflow/compiler/xla/service/gpu:partition_assignment",
],
)
cc_library(
name = "tuple_ops",
srcs = ["tuple_ops.cc"],
hdrs = ["tuple_ops.h"],
deps = [
":ir_array",
":llvm_util",
"//tensorflow/compiler/xla:shape_util",
"//tensorflow/compiler/xla:types",
"//tensorflow/compiler/xla:xla_data_proto",
"//tensorflow/core:lib",
"@llvm//:core",
],
)
cc_library(
name = "kernel_support_library",
srcs = ["kernel_support_library.cc"],
hdrs = ["kernel_support_library.h"],
deps = [
":llvm_loop",
"//tensorflow/compiler/xla/service/llvm_ir:llvm_util",
"//tensorflow/core:lib",
"@llvm//:core",
],
)
|
