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Factor out a convenience function for creating
i8:f32 uniform quant…
…ized type. Creates a factored out `CreateI8F32UniformQuantizedType` function, which creates a `!quant.uniform<i8:f32, scale:zp>` given scale and zp. PiperOrigin-RevId: 557705465
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40 changes: 40 additions & 0 deletions
40
tensorflow/compiler/mlir/quantization/stablehlo/uniform_quantized_types.cc
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| /* Copyright 2023 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/mlir/quantization/stablehlo/uniform_quantized_types.h" | ||
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| #include <cstdint> | ||
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| #include "llvm/Support/MathExtras.h" | ||
| #include "mlir/Dialect/Quant/QuantTypes.h" // from @llvm-project | ||
| #include "mlir/IR/BuiltinTypes.h" // from @llvm-project | ||
| #include "mlir/IR/Location.h" // from @llvm-project | ||
| #include "mlir/IR/MLIRContext.h" // from @llvm-project | ||
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| namespace mlir { | ||
| namespace quant { | ||
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| UniformQuantizedType CreateI8F32UniformQuantizedType(Location loc, | ||
| MLIRContext& context, | ||
| const float scale, | ||
| const int8_t zero_point) { | ||
| return UniformQuantizedType::getChecked( | ||
| loc, /*flags=*/QuantizationFlags::Signed, | ||
| /*storageType=*/IntegerType::get(&context, /*width=*/8), | ||
| /*expressedType=*/FloatType::getF32(&context), scale, zero_point, | ||
| /*storageTypeMin=*/llvm::minIntN(8), /*storageTypeMax=*/llvm::maxIntN(8)); | ||
| } | ||
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| } // namespace quant | ||
| } // namespace mlir |
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tensorflow/compiler/mlir/quantization/stablehlo/uniform_quantized_types.h
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| /* Copyright 2023 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. | ||
| ==============================================================================*/ | ||
| #ifndef TENSORFLOW_COMPILER_MLIR_QUANTIZATION_STABLEHLO_UNIFORM_QUANTIZED_TYPES_H_ | ||
| #define TENSORFLOW_COMPILER_MLIR_QUANTIZATION_STABLEHLO_UNIFORM_QUANTIZED_TYPES_H_ | ||
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| #include <cstdint> | ||
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| #include "mlir/Dialect/Quant/QuantTypes.h" // from @llvm-project | ||
| #include "mlir/IR/Location.h" // from @llvm-project | ||
| #include "mlir/IR/MLIRContext.h" // from @llvm-project | ||
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| namespace mlir { | ||
| namespace quant { | ||
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| // Creates a `UniformQuantizedType` with the given `scale` and `zero_point` | ||
| // values. The produced type has f32 as its expressed type and i8 as its | ||
| // storage type. The available values use the full range of the storage value, | ||
| // i.e. [-128, 127]. Assumes asymmetric quantization, meaning the zero point | ||
| // values may be nonzero. | ||
| quant::UniformQuantizedType CreateI8F32UniformQuantizedType( | ||
| Location loc, MLIRContext& context, float scale, int8_t zero_point); | ||
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| } // namespace quant | ||
| } // namespace mlir | ||
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| #endif // TENSORFLOW_COMPILER_MLIR_QUANTIZATION_STABLEHLO_UNIFORM_QUANTIZED_TYPES_H_ |
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82
tensorflow/compiler/mlir/quantization/stablehlo/uniform_quantized_types_test.cc
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| /* Copyright 2023 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/mlir/quantization/stablehlo/uniform_quantized_types.h" | ||
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| #include <gtest/gtest.h> | ||
| #include "mlir/Dialect/Quant/QuantOps.h" // from @llvm-project | ||
| #include "mlir/Dialect/Quant/QuantTypes.h" // from @llvm-project | ||
| #include "mlir/IR/Location.h" // from @llvm-project | ||
| #include "mlir/IR/MLIRContext.h" // from @llvm-project | ||
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| namespace mlir { | ||
| namespace quant { | ||
| namespace { | ||
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| using ::mlir::quant::UniformQuantizedType; | ||
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| class CreateI8F32UniformQuantizedTypeTest : public ::testing::Test { | ||
| protected: | ||
| CreateI8F32UniformQuantizedTypeTest() : ctx_() { | ||
| ctx_.loadDialect<quant::QuantizationDialect>(); | ||
| } | ||
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| MLIRContext ctx_; | ||
| }; | ||
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| TEST_F(CreateI8F32UniformQuantizedTypeTest, HasI8StorageType) { | ||
| const UniformQuantizedType quantized_type = | ||
| CreateI8F32UniformQuantizedType(UnknownLoc::get(&ctx_), ctx_, | ||
| /*scale=*/1.0, /*zero_point=*/0); | ||
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| EXPECT_TRUE(quantized_type.getStorageType().isSignlessInteger(8)); | ||
| } | ||
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| TEST_F(CreateI8F32UniformQuantizedTypeTest, HasF32ExpressedType) { | ||
| const UniformQuantizedType quantized_type = | ||
| CreateI8F32UniformQuantizedType(UnknownLoc::get(&ctx_), ctx_, | ||
| /*scale=*/1.0, /*zero_point=*/0); | ||
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| EXPECT_TRUE(quantized_type.getExpressedType().isF32()); | ||
| } | ||
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| TEST_F(CreateI8F32UniformQuantizedTypeTest, IsSigned) { | ||
| const UniformQuantizedType quantized_type = | ||
| CreateI8F32UniformQuantizedType(UnknownLoc::get(&ctx_), ctx_, | ||
| /*scale=*/1.0, /*zero_point=*/0); | ||
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| EXPECT_TRUE(quantized_type.isSigned()); | ||
| } | ||
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| TEST_F(CreateI8F32UniformQuantizedTypeTest, SotrageTypeMinMaxEqualToI8MinMax) { | ||
| const UniformQuantizedType quantized_type = | ||
| CreateI8F32UniformQuantizedType(UnknownLoc::get(&ctx_), ctx_, | ||
| /*scale=*/1.0, /*zero_point=*/0); | ||
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| EXPECT_EQ(quantized_type.getStorageTypeMin(), -128); | ||
| EXPECT_EQ(quantized_type.getStorageTypeMax(), 127); | ||
| } | ||
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| TEST_F(CreateI8F32UniformQuantizedTypeTest, HasScaleAndZeroPointProperlySet) { | ||
| const UniformQuantizedType quantized_type = | ||
| CreateI8F32UniformQuantizedType(UnknownLoc::get(&ctx_), ctx_, | ||
| /*scale=*/8.0, /*zero_point=*/99); | ||
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| EXPECT_EQ(quantized_type.getScale(), 8.0); | ||
| EXPECT_EQ(quantized_type.getZeroPoint(), 99); | ||
| } | ||
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| } // namespace | ||
| } // namespace quant | ||
| } // namespace mlir |