Support unsigned indices for in-place DynamicUpdateSlice.

For unsigned indices, we need to use unsigned comparisons when clamping the
start_indices.
Also rename the files from ops.* to dynamic_update_slice_util.*

PiperOrigin-RevId: 205072344
This commit is contained in:
Adrian Kuegel 2018-07-18 07:02:44 -07:00 committed by TensorFlower Gardener
parent ff791a7fde
commit a46c9ab441
7 changed files with 24 additions and 19 deletions

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@ -252,12 +252,12 @@ cc_library(
"//tensorflow/compiler/xla/service:hlo_module_config", "//tensorflow/compiler/xla/service:hlo_module_config",
"//tensorflow/compiler/xla/service:name_uniquer", "//tensorflow/compiler/xla/service:name_uniquer",
"//tensorflow/compiler/xla/service/llvm_ir:alias_analysis", "//tensorflow/compiler/xla/service/llvm_ir:alias_analysis",
"//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:fused_ir_emitter",
"//tensorflow/compiler/xla/service/llvm_ir:ir_array", "//tensorflow/compiler/xla/service/llvm_ir:ir_array",
"//tensorflow/compiler/xla/service/llvm_ir:llvm_loop", "//tensorflow/compiler/xla/service/llvm_ir:llvm_loop",
"//tensorflow/compiler/xla/service/llvm_ir:llvm_util", "//tensorflow/compiler/xla/service/llvm_ir:llvm_util",
"//tensorflow/compiler/xla/service/llvm_ir:loop_emitter", "//tensorflow/compiler/xla/service/llvm_ir:loop_emitter",
"//tensorflow/compiler/xla/service/llvm_ir:ops",
"//tensorflow/compiler/xla/service/llvm_ir:tuple_ops", "//tensorflow/compiler/xla/service/llvm_ir:tuple_ops",
"//tensorflow/core:lib", "//tensorflow/core:lib",
"@llvm//:code_gen", "@llvm//:code_gen",

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@ -51,10 +51,10 @@ limitations under the License.
#include "tensorflow/compiler/xla/service/hlo_casting_utils.h" #include "tensorflow/compiler/xla/service/hlo_casting_utils.h"
#include "tensorflow/compiler/xla/service/hlo_instructions.h" #include "tensorflow/compiler/xla/service/hlo_instructions.h"
#include "tensorflow/compiler/xla/service/hlo_opcode.h" #include "tensorflow/compiler/xla/service/hlo_opcode.h"
#include "tensorflow/compiler/xla/service/llvm_ir/dynamic_update_slice_util.h"
#include "tensorflow/compiler/xla/service/llvm_ir/fused_ir_emitter.h" #include "tensorflow/compiler/xla/service/llvm_ir/fused_ir_emitter.h"
#include "tensorflow/compiler/xla/service/llvm_ir/llvm_loop.h" #include "tensorflow/compiler/xla/service/llvm_ir/llvm_loop.h"
#include "tensorflow/compiler/xla/service/llvm_ir/llvm_util.h" #include "tensorflow/compiler/xla/service/llvm_ir/llvm_util.h"
#include "tensorflow/compiler/xla/service/llvm_ir/ops.h"
#include "tensorflow/compiler/xla/service/llvm_ir/tuple_ops.h" #include "tensorflow/compiler/xla/service/llvm_ir/tuple_ops.h"
#include "tensorflow/compiler/xla/shape_util.h" #include "tensorflow/compiler/xla/shape_util.h"
#include "tensorflow/compiler/xla/status_macros.h" #include "tensorflow/compiler/xla/status_macros.h"

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@ -162,6 +162,7 @@ cc_library(
"//tensorflow/compiler/xla/service:elemental_ir_emitter", "//tensorflow/compiler/xla/service:elemental_ir_emitter",
"//tensorflow/compiler/xla/service:hlo", "//tensorflow/compiler/xla/service:hlo",
"//tensorflow/compiler/xla/service:name_uniquer", "//tensorflow/compiler/xla/service:name_uniquer",
"//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:fused_ir_emitter",
"//tensorflow/compiler/xla/service/llvm_ir:ir_array", "//tensorflow/compiler/xla/service/llvm_ir:ir_array",
"//tensorflow/compiler/xla/service/llvm_ir:kernel_support_library", "//tensorflow/compiler/xla/service/llvm_ir:kernel_support_library",
@ -169,7 +170,6 @@ cc_library(
"//tensorflow/compiler/xla/service/llvm_ir:llvm_loop", "//tensorflow/compiler/xla/service/llvm_ir:llvm_loop",
"//tensorflow/compiler/xla/service/llvm_ir:llvm_util", "//tensorflow/compiler/xla/service/llvm_ir:llvm_util",
"//tensorflow/compiler/xla/service/llvm_ir:loop_emitter", "//tensorflow/compiler/xla/service/llvm_ir:loop_emitter",
"//tensorflow/compiler/xla/service/llvm_ir:ops",
"//tensorflow/compiler/xla/service/llvm_ir:tuple_ops", "//tensorflow/compiler/xla/service/llvm_ir:tuple_ops",
"//tensorflow/core:lib", "//tensorflow/core:lib",
"//tensorflow/core:stream_executor_no_cuda", "//tensorflow/core:stream_executor_no_cuda",

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@ -59,10 +59,10 @@ limitations under the License.
#include "tensorflow/compiler/xla/service/hlo_computation.h" #include "tensorflow/compiler/xla/service/hlo_computation.h"
#include "tensorflow/compiler/xla/service/hlo_instruction.h" #include "tensorflow/compiler/xla/service/hlo_instruction.h"
#include "tensorflow/compiler/xla/service/hlo_opcode.h" #include "tensorflow/compiler/xla/service/hlo_opcode.h"
#include "tensorflow/compiler/xla/service/llvm_ir/dynamic_update_slice_util.h"
#include "tensorflow/compiler/xla/service/llvm_ir/fused_ir_emitter.h" #include "tensorflow/compiler/xla/service/llvm_ir/fused_ir_emitter.h"
#include "tensorflow/compiler/xla/service/llvm_ir/kernel_support_library.h" #include "tensorflow/compiler/xla/service/llvm_ir/kernel_support_library.h"
#include "tensorflow/compiler/xla/service/llvm_ir/llvm_util.h" #include "tensorflow/compiler/xla/service/llvm_ir/llvm_util.h"
#include "tensorflow/compiler/xla/service/llvm_ir/ops.h"
#include "tensorflow/compiler/xla/service/llvm_ir/tuple_ops.h" #include "tensorflow/compiler/xla/service/llvm_ir/tuple_ops.h"
#include "tensorflow/compiler/xla/service/name_uniquer.h" #include "tensorflow/compiler/xla/service/name_uniquer.h"
#include "tensorflow/compiler/xla/shape_util.h" #include "tensorflow/compiler/xla/shape_util.h"

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@ -164,9 +164,9 @@ cc_library(
) )
cc_library( cc_library(
name = "ops", name = "dynamic_update_slice_util",
srcs = ["ops.cc"], srcs = ["dynamic_update_slice_util.cc"],
hdrs = ["ops.h"], hdrs = ["dynamic_update_slice_util.h"],
deps = [ deps = [
":fused_ir_emitter", ":fused_ir_emitter",
":ir_array", ":ir_array",

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@ -13,7 +13,7 @@ See the License for the specific language governing permissions and
limitations under the License. limitations under the License.
==============================================================================*/ ==============================================================================*/
#include "tensorflow/compiler/xla/service/llvm_ir/ops.h" #include "tensorflow/compiler/xla/service/llvm_ir/dynamic_update_slice_util.h"
#include "tensorflow/compiler/xla/service/gpu/parallel_loop_emitter.h" #include "tensorflow/compiler/xla/service/gpu/parallel_loop_emitter.h"
#include "tensorflow/compiler/xla/service/gpu/partition_assignment.h" #include "tensorflow/compiler/xla/service/gpu/partition_assignment.h"
#include "tensorflow/compiler/xla/service/llvm_ir/fused_ir_emitter.h" #include "tensorflow/compiler/xla/service/llvm_ir/fused_ir_emitter.h"
@ -38,8 +38,8 @@ bool CanUpdateDynamicSliceInPlace(HloInstruction* dynamic_update_slice,
// Emits a sequential loop if launch_dimensions is null. // Emits a sequential loop if launch_dimensions is null.
static Status EmitDynamicUpdateSliceInPlaceImpl( static Status EmitDynamicUpdateSliceInPlaceImpl(
const Shape& update_shape, const ElementGenerator& start_indices_generator, const Shape& update_shape, const ElementGenerator& start_indices_generator,
ElementGenerator update_array_generator, const IrArray& output_array, bool is_signed, ElementGenerator update_array_generator,
const gpu::LaunchDimensions* launch_dimensions, const IrArray& output_array, const gpu::LaunchDimensions* launch_dimensions,
tensorflow::StringPiece name, llvm::IRBuilder<>* ir_builder) { tensorflow::StringPiece name, llvm::IRBuilder<>* ir_builder) {
const Shape& output_shape = output_array.GetShape(); const Shape& output_shape = output_array.GetShape();
@ -59,17 +59,20 @@ static Status EmitDynamicUpdateSliceInPlaceImpl(
// TODO(b/74360564): This is implementation defined behavior, but is // TODO(b/74360564): This is implementation defined behavior, but is
// currently respected by all implementations. Change this if we ever decide // currently respected by all implementations. Change this if we ever decide
// to oficially document different behavior. // to officially document different behavior.
llvm::Value* max_bound = llvm::Value* max_bound =
ir_builder->CreateSub(output_dim_size, update_dim_size); ir_builder->CreateSub(output_dim_size, update_dim_size);
llvm::Value* zero = llvm::ConstantInt::get(start_index[i]->getType(), 0); llvm::Value* zero = llvm::ConstantInt::get(start_index[i]->getType(), 0);
start_index[i] = ir_builder->CreateSelect( start_index[i] = ir_builder->CreateSelect(
ir_builder->CreateICmp(llvm::ICmpInst::ICMP_SGE, zero, start_index[i]), ir_builder->CreateICmp(
is_signed ? llvm::ICmpInst::ICMP_SGE : llvm::ICmpInst::ICMP_UGE,
zero, start_index[i]),
zero, start_index[i]); zero, start_index[i]);
start_index[i] = ir_builder->CreateSelect( start_index[i] = ir_builder->CreateSelect(
ir_builder->CreateICmp(llvm::ICmpInst::ICMP_SLE, max_bound, ir_builder->CreateICmp(
start_index[i]), is_signed ? llvm::ICmpInst::ICMP_SLE : llvm::ICmpInst::ICMP_ULE,
max_bound, start_index[i]),
max_bound, start_index[i]); max_bound, start_index[i]);
} }
@ -122,8 +125,9 @@ Status EmitDynamicUpdateSliceInPlace(
return update_array.EmitReadArrayElement(index, ir_builder); return update_array.EmitReadArrayElement(index, ir_builder);
}; };
bool is_signed = ShapeUtil::ElementIsSigned(start_indices_array.GetShape());
return EmitDynamicUpdateSliceInPlaceImpl( return EmitDynamicUpdateSliceInPlaceImpl(
update_shape, start_indices_generator, update_array_generator, update_shape, start_indices_generator, is_signed, update_array_generator,
output_array, /*launch_dimensions=*/nullptr, name, ir_builder); output_array, /*launch_dimensions=*/nullptr, name, ir_builder);
} }
@ -170,8 +174,9 @@ static Status EmitFusedDynamicUpdateSliceInPlaceImpl(
ElementGenerator start_indices_generator = ElementGenerator start_indices_generator =
fused_emitter.GetGenerator(start_indices); fused_emitter.GetGenerator(start_indices);
bool is_signed = ShapeUtil::ElementIsSigned(start_indices->shape());
return EmitDynamicUpdateSliceInPlaceImpl( return EmitDynamicUpdateSliceInPlaceImpl(
update_shape, start_indices_generator, update_array_generator, update_shape, start_indices_generator, is_signed, update_array_generator,
fusion_output_array, launch_dimensions, IrName(fusion), ir_builder); fusion_output_array, launch_dimensions, IrName(fusion), ir_builder);
} }

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@ -13,8 +13,8 @@ See the License for the specific language governing permissions and
limitations under the License. limitations under the License.
==============================================================================*/ ==============================================================================*/
#ifndef TENSORFLOW_COMPILER_XLA_SERVICE_LLVM_IR_OPS_H_ #ifndef TENSORFLOW_COMPILER_XLA_SERVICE_LLVM_IR_DYNAMIC_UPDATE_SLICE_UTIL_H_
#define TENSORFLOW_COMPILER_XLA_SERVICE_LLVM_IR_OPS_H_ #define TENSORFLOW_COMPILER_XLA_SERVICE_LLVM_IR_DYNAMIC_UPDATE_SLICE_UTIL_H_
#include "tensorflow/compiler/xla/service/buffer_assignment.h" #include "tensorflow/compiler/xla/service/buffer_assignment.h"
#include "tensorflow/compiler/xla/service/elemental_ir_emitter.h" #include "tensorflow/compiler/xla/service/elemental_ir_emitter.h"
@ -90,4 +90,4 @@ Status EmitParallelFusedDynamicUpdateSliceInPlace(
} // namespace llvm_ir } // namespace llvm_ir
} // namespace xla } // namespace xla
#endif // TENSORFLOW_COMPILER_XLA_SERVICE_LLVM_IR_OPS_H_ #endif // TENSORFLOW_COMPILER_XLA_SERVICE_LLVM_IR_DYNAMIC_UPDATE_SLICE_UTIL_H_