221 lines
12 KiB
C++
221 lines
12 KiB
C++
/*
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* Copyright (c) 2017-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_TEST_PIXEL_WISE_MULTIPLICATION_FIXTURE
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#define ARM_COMPUTE_TEST_PIXEL_WISE_MULTIPLICATION_FIXTURE
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#include "arm_compute/core/TensorShape.h"
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#include "arm_compute/core/Types.h"
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#include "tests/AssetsLibrary.h"
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#include "tests/Globals.h"
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#include "tests/IAccessor.h"
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#include "tests/framework/Asserts.h"
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#include "tests/framework/Fixture.h"
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#include "tests/validation/reference/ActivationLayer.h"
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#include "tests/validation/reference/PixelWiseMultiplication.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2, typename T3 = T2>
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class PixelWiseMultiplicationGenericValidationFixture : public framework::Fixture
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{
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public:
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template <typename...>
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void setup(const TensorShape &shape0,
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const TensorShape &shape1,
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DataType dt_in1,
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DataType dt_in2,
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DataType dt_out,
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float scale,
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ConvertPolicy convert_policy,
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RoundingPolicy rounding_policy,
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QuantizationInfo qinfo0,
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QuantizationInfo qinfo1,
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QuantizationInfo qinfo_out,
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ActivationLayerInfo act_info,
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bool is_inplace)
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{
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_is_inplace = is_inplace;
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_target = compute_target(shape0, shape1, dt_in1, dt_in2, dt_out, scale, convert_policy, rounding_policy, qinfo0, qinfo1, qinfo_out, act_info);
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_reference = compute_reference(shape0, shape1, dt_in1, dt_in2, dt_out, scale, convert_policy, rounding_policy, qinfo0, qinfo1, qinfo_out, act_info);
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}
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protected:
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template <typename U>
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void fill(U &&tensor, unsigned int seed_offset)
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{
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library->fill_tensor_uniform(tensor, seed_offset);
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}
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TensorType compute_target(const TensorShape &shape0, const TensorShape &shape1, DataType dt_in1, DataType dt_in2, DataType dt_out,
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float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
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QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, ActivationLayerInfo act_info)
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{
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// Create tensors
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TensorType src1 = create_tensor<TensorType>(shape0, dt_in1, 1, qinfo0);
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TensorType src2 = create_tensor<TensorType>(shape1, dt_in2, 1, qinfo1);
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TensorType dst = create_tensor<TensorType>(TensorShape::broadcast_shape(shape0, shape1), dt_out, 1, qinfo_out);
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auto allocate_tensor = [](TensorType & t)
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{
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ARM_COMPUTE_EXPECT(t.info()->is_resizable(), framework::LogLevel::ERRORS);
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t.allocator()->allocate();
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ARM_COMPUTE_EXPECT(!t.info()->is_resizable(), framework::LogLevel::ERRORS);
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};
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// Create and configure function
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FunctionType multiply;
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multiply.configure(&src1, &src2, (_is_inplace ? &src1 : &dst), scale, convert_policy, rounding_policy, act_info);
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allocate_tensor(src1);
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allocate_tensor(src2);
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if(!_is_inplace)
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{
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allocate_tensor(dst);
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}
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// Fill tensors
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fill(AccessorType(src1), 0);
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fill(AccessorType(src2), 1);
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// Compute function
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multiply.run();
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if(_is_inplace)
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{
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return src1;
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}
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return dst;
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}
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SimpleTensor<T3> compute_reference(const TensorShape &shape0, const TensorShape &shape1, DataType dt_in1, DataType dt_in2, DataType dt_out,
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float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
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QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, ActivationLayerInfo act_info)
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{
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// Create reference
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SimpleTensor<T1> src1{ shape0, dt_in1, 1, qinfo0 };
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SimpleTensor<T2> src2{ shape1, dt_in2, 1, qinfo1 };
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// current in-place implementation only supports same metadata of input and output tensors.
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// By ignoring output quantization information here, we can make test cases implementation much simpler.
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QuantizationInfo output_qinfo = _is_inplace ? qinfo0 : qinfo_out;
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// Fill reference
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fill(src1, 0);
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fill(src2, 1);
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auto result = reference::pixel_wise_multiplication<T1, T2, T3>(src1, src2, scale, convert_policy, rounding_policy, dt_out, output_qinfo);
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return act_info.enabled() ? reference::activation_layer(result, act_info, output_qinfo) : result;
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}
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TensorType _target{};
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SimpleTensor<T3> _reference{};
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bool _is_inplace{ false };
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};
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template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2, typename T3 = T2>
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class PixelWiseMultiplicationValidationFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>
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{
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public:
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template <typename...>
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void setup(const TensorShape &shape, DataType dt_in1, DataType dt_in2, DataType dt_out, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy, bool is_inplace)
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{
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PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>::setup(shape, shape, dt_in1, dt_in2, dt_out, scale, convert_policy, rounding_policy,
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QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), ActivationLayerInfo(), is_inplace);
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}
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};
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template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2, typename T3 = T2>
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class PixelWiseMultiplicationBroadcastValidationFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>
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{
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public:
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template <typename...>
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void setup(const TensorShape &shape0, const TensorShape &shape1, DataType dt_in1, DataType dt_in2, DataType dt_out, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
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bool is_inplace)
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{
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PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>::setup(shape0, shape1, dt_in1, dt_in2, dt_out, scale, convert_policy, rounding_policy,
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QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), ActivationLayerInfo(), is_inplace);
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}
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};
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template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2>
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class PixelWiseMultiplicationValidationFloatFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>
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{
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public:
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template <typename...>
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void setup(const TensorShape &shape, DataType dt_in1, DataType dt_in2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy, ActivationLayerInfo act_info, bool is_inplace)
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{
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PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, shape, dt_in1, dt_in2, dt_in2, scale, convert_policy, rounding_policy,
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QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace);
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}
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};
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template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2>
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class PixelWiseMultiplicationBroadcastValidationFloatFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>
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{
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public:
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template <typename...>
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void setup(const TensorShape &shape0, const TensorShape &shape1, DataType dt_in1, DataType dt_in2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
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ActivationLayerInfo act_info, bool is_inplace)
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{
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PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape0, shape1, dt_in1, dt_in2, dt_in2, scale, convert_policy, rounding_policy,
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QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace);
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}
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};
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template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2, typename T3 = T2>
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class PixelWiseMultiplicationValidationQuantizedFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>
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{
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public:
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template <typename...>
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void setup(const TensorShape &shape, DataType dt_in1, DataType dt_in2, DataType dt_out, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
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QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace)
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{
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PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>::setup(shape, shape, dt_in1, dt_in2, dt_out, scale, convert_policy, rounding_policy,
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qinfo0, qinfo1, qinfo_out, ActivationLayerInfo(), is_inplace);
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}
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};
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template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2, typename T3 = T2>
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class PixelWiseMultiplicationBroadcastValidationQuantizedFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>
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{
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public:
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template <typename...>
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void setup(const TensorShape &shape0, const TensorShape &shape1, DataType dt_in1, DataType dt_in2, DataType dt_out, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
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QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace)
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{
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PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>::setup(shape0, shape1, dt_in1, dt_in2, dt_out, scale, convert_policy, rounding_policy,
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qinfo0, qinfo1, qinfo_out, ActivationLayerInfo(), is_inplace);
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}
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};
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_TEST_PIXEL_WISE_MULTIPLICATION_FIXTURE */
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