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/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#include "tensorflow/compiler/xla/service/gpu/hlo_to_ir_bindings.h"
#include "external/llvm/include/llvm/IR/BasicBlock.h"
#include "external/llvm/include/llvm/IR/Function.h"
#include "external/llvm/include/llvm/IR/Instructions.h"
#include "tensorflow/compiler/xla/service/gpu/ir_emission_utils.h"
#include "tensorflow/compiler/xla/service/hlo_opcode.h"
#include "tensorflow/compiler/xla/service/llvm_ir/llvm_util.h"
#include "tensorflow/compiler/xla/service/llvm_ir/ops.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/types.h"
namespace xla {
namespace gpu {
void HloToIrBindings::EmitBasePointersForHlos(
tensorflow::gtl::ArraySlice<const HloInstruction*> io_hlos,
tensorflow::gtl::ArraySlice<const HloInstruction*> non_io_hlos) {
// I/O HLOs are bound to the arguments of the current IR function. I.e.,
//
// void IrFunction(io_0, io_1, ..., io_{m-1}, temp_buffer_base) {
llvm::Function* function = ir_builder_->GetInsertBlock()->getParent();
CHECK_EQ(io_hlos.size() + 1, function->arg_size());
// An HLO can have duplicated operands. This data structure remembers which
// operand HLOs are already bound to avoid rebinding the same HLO.
std::set<const HloInstruction*> already_bound_for_this_function;
auto arg_iter = function->arg_begin();
for (const auto* io_hlo : io_hlos) {
if (!already_bound_for_this_function.count(io_hlo)) {
if (!is_nested_ && io_hlo->opcode() == HloOpcode::kGetTupleElement) {
BindHloToIrValue(*io_hlo, EmitGetTupleElement(io_hlo, &*arg_iter));
} else {
BindHloToIrValue(*io_hlo, &*arg_iter);
}
already_bound_for_this_function.insert(io_hlo);
}
++arg_iter;
}
temp_buffer_base_ = &*arg_iter;
temp_buffer_base_->setName("temp_buffer");
for (auto* non_io_hlo : non_io_hlos) {
if (already_bound_for_this_function.count(non_io_hlo)) {
continue;
}
already_bound_for_this_function.insert(non_io_hlo);
if (non_io_hlo->opcode() == HloOpcode::kGetTupleElement) {
if (!is_nested_) {
// Lookup allocation GetTupleElement operand.
const BufferAllocation* allocation =
buffer_assignment_
->GetUniqueTopLevelAllocation(LatestNonGteAncestor(non_io_hlo))
.ConsumeValueOrDie();
// We are not in a nested context, so check non-thread-local allocation.
CHECK(!allocation->is_thread_local());
int64 offset = temp_buffer_offsets_->GetOffset(allocation->index());
CHECK_NE(nullptr, temp_buffer_base_);
// Emit IR for GetTupleElement instruction and bind to emitted value.
llvm::Value* base_ptr = ir_builder_->CreateInBoundsGEP(
temp_buffer_base_, ir_builder_->getInt64(offset));
BindHloToIrValue(*non_io_hlo,
EmitGetTupleElement(non_io_hlo, base_ptr));
}
continue;
}
if (!buffer_assignment_->HasTopLevelAllocation(non_io_hlo)) {
continue;
}
// A non-IO HLO with a buffer is bound to
// (1) an alloca if it is thread-local, or
// (2) an internal pointer in temp_buffer_base according to its offset.
const BufferAllocation* allocation =
buffer_assignment_->GetUniqueTopLevelAllocation(non_io_hlo)
.ConsumeValueOrDie();
if (allocation->is_thread_local()) {
llvm::Type* pointee_type =
llvm_ir::ShapeToIrType(non_io_hlo->shape(), ir_builder_);
BindHloToIrValue(*non_io_hlo, ir_builder_->CreateAlloca(pointee_type));
} else {
int64 offset = temp_buffer_offsets_->GetOffset(allocation->index());
CHECK_NE(nullptr, temp_buffer_base_);
BindHloToIrValue(*non_io_hlo,
ir_builder_->CreateInBoundsGEP(
temp_buffer_base_, ir_builder_->getInt64(offset)));
}
}
}
llvm::Value* HloToIrBindings::EmitGetTupleElement(const HloInstruction* gte,
llvm::Value* base_ptr) {
// TODO(b/26344050): tighten the alignment based on the real element type.
if (gte->operand(0)->opcode() != HloOpcode::kGetTupleElement) {
return llvm_ir::EmitGetTupleElement(
gte->shape(), gte->tuple_index(), /*alignment=*/1,
GetTypedIrValue(*gte->operand(0), base_ptr), ir_builder_);
}
return llvm_ir::EmitGetTupleElement(
gte->shape(), gte->tuple_index(), /*alignment=*/1,
EmitGetTupleElement(gte->operand(0), base_ptr), ir_builder_);
}
llvm::Value* HloToIrBindings::GetTypedIrValue(const HloInstruction& hlo,
llvm::Value* ir_value) {
llvm::Type* pointee_type = llvm_ir::ShapeToIrType(hlo.shape(), ir_builder_);
llvm::Type* dest_type = pointee_type->getPointerTo();
llvm::Value* typed_ir_value;
if (llvm::isa<llvm::GlobalVariable>(ir_value)) {
typed_ir_value = llvm::ConstantExpr::getBitCast(
llvm::cast<llvm::GlobalVariable>(ir_value), dest_type);
} else {
typed_ir_value =
ir_builder_->CreateBitCast(ir_value, pointee_type->getPointerTo());
}
string ir_value_name = llvm_ir::SanitizeIrName(hlo.name());
ir_value->setName(llvm_ir::AsStringRef(ir_value_name + ".raw"));
typed_ir_value->setName(llvm_ir::AsStringRef(ir_value_name + ".typed"));
return typed_ir_value;
}
void HloToIrBindings::BindHloToIrValue(const HloInstruction& hlo,
llvm::Value* ir_value) {
VLOG(2) << "Binding " << hlo.ToString();
InsertOrDie(&base_ptrs_, &hlo, GetTypedIrValue(hlo, ir_value));
}
llvm_ir::IrArray HloToIrBindings::GetIrArray(const HloInstruction& hlo) {
llvm_ir::IrArray ir_array(GetBasePointer(hlo), hlo.shape());
alias_analysis_.AddAliasingInformationToIrArray(hlo, &ir_array);
return ir_array;
}
void HloToIrBindings::UnbindAllLocalIrValues() {
std::vector<const HloInstruction*> hlos_to_unbind;
for (auto& key_value : base_ptrs_) {
if (!llvm::isa<llvm::GlobalVariable>(
key_value.second->stripPointerCasts())) {
hlos_to_unbind.push_back(key_value.first);
}
}
for (const HloInstruction* hlo_to_unbind : hlos_to_unbind) {
VLOG(2) << "Unbinding " << hlo_to_unbind->ToString();
base_ptrs_.erase(hlo_to_unbind);
}
}
} // namespace gpu
} // namespace xla
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