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[XLA:GPU] Extract useful utils from ir_emitter_triton_test into their…
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,106 @@ | ||
| /* Copyright 2024 The OpenXLA Authors. | ||
| 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 "xla/service/gpu/triton_test_utils.h" | ||
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|
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| #include <cstdint> | ||
| #include <memory> | ||
| #include <string> | ||
| #include <variant> | ||
| #include <vector> | ||
|
|
||
| #include "absl/status/status.h" | ||
| #include "absl/strings/string_view.h" | ||
| #include "llvm/Support/raw_ostream.h" | ||
| #include "mlir/IR/MLIRContext.h" // from @llvm-project | ||
| #include "xla/hlo/ir/hlo_casting_utils.h" | ||
| #include "xla/hlo/ir/hlo_instructions.h" | ||
| #include "xla/service/gpu/fusions/triton.h" | ||
| #include "xla/service/gpu/gpu_device_info_for_tests.h" | ||
| #include "xla/service/gpu/hlo_fusion_analysis.h" | ||
| #include "xla/service/gpu/ir_emission_utils.h" | ||
| #include "xla/service/gpu/ir_emitter_triton.h" | ||
| #include "xla/service/gpu/matmul_utils.h" | ||
| #include "xla/service/gpu/triton_fusion_analysis.h" | ||
| #include "xla/status_macros.h" | ||
| #include "xla/stream_executor/device_description.h" | ||
| #include "xla/tests/filecheck.h" | ||
| #include "xla/tests/verified_hlo_module.h" | ||
| #include "tsl/platform/statusor.h" | ||
|
|
||
| namespace xla::gpu { | ||
| bool TritonTest::SkipBF16Tests() { | ||
| if (std::holds_alternative<stream_executor::RocmComputeCapability>( | ||
| GpuComputeComp())) { | ||
| auto rcc = device_desc().rocm_compute_capability(); | ||
| return !rcc.has_bf16_dtype_support(); | ||
| } | ||
| return false; | ||
| } | ||
|
|
||
| stream_executor::GpuComputeCapability TritonTest::CudaAmpereOrRocm() { | ||
| if (std::holds_alternative<stream_executor::RocmComputeCapability>( | ||
| GpuComputeComp())) { | ||
| return stream_executor::GpuComputeCapability{ | ||
| device_desc().rocm_compute_capability()}; | ||
| } else { | ||
| return stream_executor::GpuComputeCapability{ | ||
| stream_executor::CudaComputeCapability{ | ||
| stream_executor::CudaComputeCapability::AMPERE, 0}}; | ||
| } | ||
| } | ||
|
|
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| absl::Status TritonFilecheckTest::CreateTritonIrAndFileCheck( | ||
| absl::string_view hlo_text, const TritonGemmConfig& config, | ||
| std::vector<int64_t> output_tile_sizes, TritonIrEmitter emitter, | ||
| absl::string_view triton_fusion_name, absl::string_view filecheck_pattern) { | ||
| TF_ASSIGN_OR_RETURN(std::unique_ptr<VerifiedHloModule> verified_module, | ||
| ParseAndReturnVerifiedModule(hlo_text)); | ||
|
|
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| auto* computation = | ||
| verified_module->GetComputationWithName(triton_fusion_name); | ||
| auto* fusion = Cast<HloFusionInstruction>(computation->FusionInstruction()); | ||
| TF_RET_CHECK(computation != nullptr); | ||
| TF_ASSIGN_OR_RETURN(auto analysis, | ||
| TritonFusionAnalysis::Execute(*computation)); | ||
|
|
||
| auto fusion_analysis = HloFusionAnalysis::Create(fusion, &device_desc()); | ||
|
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||
| if (fusion_analysis.fusion_backend_config().kind() == | ||
| kTritonSoftmaxFusionKind) { | ||
| TritonFusion triton_fusion(fusion_analysis); | ||
| if (auto launch_config = triton_fusion.launch_config()) { | ||
| output_tile_sizes = launch_config->output_tile_sizes; | ||
| } | ||
| } | ||
|
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| mlir::MLIRContext context; | ||
| TF_ASSIGN_OR_RETURN( | ||
| auto module, | ||
| CreateTritonModule(analysis, "triton_fn", fusion, | ||
| TestGpuDeviceInfo::RTXA6000DeviceInfo(), config, | ||
| output_tile_sizes, emitter, context)); | ||
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| std::string out; | ||
| llvm::raw_string_ostream os(out); | ||
| module->print(os); | ||
| TF_ASSIGN_OR_RETURN(bool succeeded, RunFileCheck(out, filecheck_pattern)); | ||
| if (!succeeded) { | ||
| return absl::InternalError("FileCheck failed."); | ||
| } | ||
| return absl::OkStatus(); | ||
| } | ||
|
|
||
| } // namespace xla::gpu |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,64 @@ | ||
| /* Copyright 2024 The OpenXLA Authors. | ||
| 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. | ||
| ==============================================================================*/ | ||
|
|
||
| #ifndef XLA_SERVICE_GPU_TRITON_TEST_UTILS_H_ | ||
| #define XLA_SERVICE_GPU_TRITON_TEST_UTILS_H_ | ||
|
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| #include <cstdint> | ||
| #include <vector> | ||
|
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| #include "absl/status/status.h" | ||
| #include "absl/strings/string_view.h" | ||
| #include "xla/service/gpu/ir_emitter_triton.h" | ||
| #include "xla/service/gpu/matmul_utils.h" | ||
| #include "xla/service/gpu/tests/gpu_codegen_test.h" | ||
| #include "xla/stream_executor/device_description.h" | ||
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| namespace xla::gpu { | ||
|
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| class TritonTest : public GpuCodegenTest { | ||
| public: | ||
| stream_executor::CudaComputeCapability GetCudaComputeCapability() { | ||
| return backend() | ||
| .default_stream_executor() | ||
| ->GetDeviceDescription() | ||
| .cuda_compute_capability(); | ||
| } | ||
|
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| const stream_executor::GpuComputeCapability& GpuComputeComp() { | ||
| return device_desc().gpu_compute_capability(); | ||
| } | ||
|
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| bool SkipBF16Tests(); | ||
| stream_executor::GpuComputeCapability CudaAmpereOrRocm(); | ||
|
|
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| protected: | ||
| const stream_executor::DeviceDescription& device_desc() { | ||
| return backend().default_stream_executor()->GetDeviceDescription(); | ||
| } | ||
| }; | ||
|
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| class TritonFilecheckTest : public TritonTest { | ||
| public: | ||
| absl::Status CreateTritonIrAndFileCheck( | ||
| absl::string_view hlo_text, const TritonGemmConfig& config, | ||
| std::vector<int64_t> output_tile_sizes, TritonIrEmitter emitter, | ||
| absl::string_view triton_fusion_name, | ||
| absl::string_view filecheck_pattern); | ||
| }; | ||
|
|
||
| } // namespace xla::gpu | ||
|
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| #endif // XLA_SERVICE_GPU_TRITON_TEST_UTILS_H_ |
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