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/* Copyright 2018 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 <memory>
#include <utility>
#include "tensorflow/compiler/xla/literal.h"
#include "tensorflow/compiler/xla/ptr_util.h"
#include "tensorflow/compiler/xla/service/gpu/tests/gpu_codegen_test.h"
#include "tensorflow/compiler/xla/service/hlo_computation.h"
#include "tensorflow/compiler/xla/service/hlo_instruction.h"
#include "tensorflow/compiler/xla/service/hlo_module.h"
#include "tensorflow/compiler/xla/service/hlo_module_config.h"
#include "tensorflow/compiler/xla/service/hlo_parser.h"
#include "tensorflow/compiler/xla/shape_util.h"
#include "tensorflow/compiler/xla/tests/hlo_test_base.h"
#include "tensorflow/compiler/xla/xla.pb.h"
#include "tensorflow/compiler/xla/xla_data.pb.h"
#include "tensorflow/core/platform/test.h"
namespace xla {
namespace gpu {
// This file tests the index expressions used to reference source tensors. When
// the destination tensor and source tensor have compatible shapes, the linear
// index is used to access the source tensor. Otherwise, dimensional indices
// computed from the linear index are used to access the source tensor.
class GpuIndexTest : public GpuCodegenTest {};
TEST_F(GpuIndexTest, CompatibleUseLinearIndex) {
HloComputation::Builder builder(TestName());
auto param_shape = ShapeUtil::MakeShape(F32, {5, 7, 2});
HloInstruction* param_x = builder.AddInstruction(
HloInstruction::CreateParameter(0, param_shape, "x"));
HloInstruction* param_y = builder.AddInstruction(
HloInstruction::CreateParameter(1, param_shape, "y"));
builder.AddInstruction(HloInstruction::CreateBinary(
ShapeUtil::MakeShape(PRED, {5, 7, 2}), HloOpcode::kGe, param_x, param_y));
auto hlo_module = CreateNewModule();
hlo_module->AddEntryComputation(builder.Build());
// Check the optimized IR as the unoptimized IR contains dead udiv and urem.
CompileAndVerifyIr(std::move(hlo_module),
R"(
; CHECK-NOT: udiv
; CHECK-NOT: urem
)",
/*match_optimized_ir=*/true);
}
TEST_F(GpuIndexTest, CompatibleUseLinearIndexWithReshape) {
HloModuleConfig config;
config.set_debug_options(HloTestBase::GetDebugOptionsForTest());
auto module = ParseHloString(R"(
HloModule test_module
ENTRY CompatibleUseLinearIndexWithReshape {
x = f32[5,7,2]{2,1,0} parameter(0)
y = f32[5,14]{1,0} parameter(1)
reshape = f32[5,7,2]{2,1,0} reshape(y)
ROOT gte = pred[5,7,2]{2,1,0} greater-than-or-equal-to(x, reshape)
})",
config)
.ValueOrDie();
// Check the optimized IR as the unoptimized IR contains dead udiv and urem.
CompileAndVerifyIr(std::move(module),
R"(
; CHECK-NOT: udiv
; CHECK-NOT: urem
)",
/*match_optimized_ir=*/true);
}
TEST_F(GpuIndexTest, CompatibleUseLinearIndexWithReshapeAndBroadcast) {
HloModuleConfig config;
config.set_debug_options(HloTestBase::GetDebugOptionsForTest());
auto module = ParseHloString(R"(
HloModule test_module
ENTRY CompatibleUseLinearIndexWithReshape {
x = f32[5,7,2]{2,1,0} parameter(0)
y = f32[14]{0} parameter(1)
reshape = f32[7,2]{1,0} reshape(y)
broadcast = f32[5,7,2]{2,1,0} broadcast(reshape), dimensions={1,2}
ROOT gte = pred[5,7,2]{2,1,0} greater-than-or-equal-to(x, broadcast)
})",
config)
.ValueOrDie();
// Check the optimized IR reuses the linear index by calculating modulo 14.
CompileAndVerifyIr(std::move(module),
R"(
; CHECK: %[[urem1:.*]] = urem i{{[0-9]*}} %[[linear_index:.*]], 14
; CHECK: %[[bitcast:.*]] = bitcast i8 addrspace(1)* %[[alloc:.*]] to float addrspace(1)*
; CHECK: %[[idx1:.*]] = zext i{{[0-9]*}} %[[urem1]] to i64
; CHECK: getelementptr inbounds float, float addrspace(1)* %[[bitcast]], i64 %[[idx1]]
)",
/*match_optimized_ir=*/true);
}
TEST_F(GpuIndexTest, CompatibleUseLinearIndexWithSizeOneDimensions) {
HloModuleConfig config;
auto debug_options = HloTestBase::GetDebugOptionsForTest();
debug_options.set_xla_gpu_max_kernel_unroll_factor(1);
config.set_debug_options(debug_options);
auto module = ParseHloString(R"(
HloModule test_module
ENTRY CompatibleUseLinearIndexWithSizeOneDimensions {
x = f32[1,1024,1,256]{3,2,1,0} parameter(0)
ROOT y = f16[1,1024,1,256]{2,3,1,0} convert(x)
})",
config)
.ValueOrDie();
// Check that the unoptimized IR reuses the linear index.
CompileAndVerifyIr(std::move(module),
R"(
; CHECK-LABEL: @fusion
; CHECK: udiv i32 %[[linear_index:.*]], 262144
; CHECK: %[[ld_addr:.*]] = getelementptr inbounds float, float* {{.*}}, i32 %[[linear_index]]
; CHECK: load float, float* %[[ld_addr]]
; CHECK: %[[st_addr:.*]] = getelementptr inbounds half, half* {{.*}}, i32 %[[linear_index]]
; CHECK: store half {{.*}}, half* %[[st_addr]]
)",
/*match_optimized_ir=*/false);
}
} // namespace gpu
} // namespace xla
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