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/*
* Copyright (c) 2021, 2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef ACL_TESTS_VALIDATION_FIXTURES_DIRECTCONVOLUTION3DFIXTURE_H
#define ACL_TESTS_VALIDATION_FIXTURES_DIRECTCONVOLUTION3DFIXTURE_H
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "tests/framework/Asserts.h" // Required for ARM_COMPUTE_ASSERT
#include "tests/framework/Fixture.h"
#include "tests/validation/reference/ActivationLayer.h"
#include "tests/validation/reference/Conv3D.h"
#include <random>
namespace arm_compute
{
namespace test
{
namespace validation
{
using namespace arm_compute::misc::shape_calculator;
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class DirectConvolution3DValidationGenericFixture : public framework::Fixture
{
public:
using TBias = typename std::conditional < std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value, int32_t, T >::type;
void setup(const TensorShape &input_shape, int stride_x, int stride_y, int stride_z, int pad_x, int pad_y, int pad_z, unsigned int kernel_width, int kernel_height, int kernel_depth,
unsigned int num_kernels, bool has_bias, const ActivationLayerInfo &act_info, const DataType &data_type, const DataLayout &data_layout,
const QuantizationInfo &src_qinfo = QuantizationInfo(), const QuantizationInfo &weights_qinfo = QuantizationInfo(), const QuantizationInfo &dst_qinfo = QuantizationInfo())
{
ARM_COMPUTE_ERROR_ON(data_layout != DataLayout::NDHWC);
const TensorShape weights_shape(num_kernels, input_shape[0], kernel_width, kernel_height, kernel_depth);
const TensorShape bias_shape(num_kernels);
const DataType bias_data_type = is_data_type_quantized(data_type) ? DataType::S32 : data_type;
const Conv3dInfo conv3d_info(Size3D(stride_x, stride_y, stride_z), Padding3D(pad_x, pad_y, pad_z), act_info, Size3D(1U, 1U, 1U), DimensionRoundingType::FLOOR, false);
const TensorShape output_shape = compute_conv3d_shape(input_shape, weights_shape, conv3d_info);
_target = compute_target(input_shape, weights_shape, bias_shape, output_shape, conv3d_info, has_bias, data_type, bias_data_type, data_layout, src_qinfo, weights_qinfo, dst_qinfo);
_reference = compute_reference(input_shape, weights_shape, bias_shape, output_shape, conv3d_info, has_bias, data_type, bias_data_type, src_qinfo, weights_qinfo, dst_qinfo);
}
protected:
template <typename U>
void fill(U &&tensor, int i)
{
switch(tensor.data_type())
{
case DataType::F16:
{
arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -1.0f, 1.0f };
library->fill(tensor, distribution, i);
break;
}
case DataType::F32:
{
std::uniform_real_distribution<float> distribution(-1.0f, 1.0f);
library->fill(tensor, distribution, i);
break;
}
default:
library->fill_tensor_uniform(tensor, i);
}
}
TensorType compute_target(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, const Conv3dInfo &conv3d_info,
bool has_bias, const DataType &data_type, const DataType &bias_data_type, const DataLayout &data_layout, const QuantizationInfo &src_qinfo,
const QuantizationInfo &weights_qinfo, const QuantizationInfo &dst_qinfo)
{
// Create tensors
TensorType src = create_tensor<TensorType>(input_shape, data_type, 1, src_qinfo, data_layout);
TensorType weights = create_tensor<TensorType>(weights_shape, data_type, 1, weights_qinfo, data_layout);
TensorType bias = has_bias ? create_tensor<TensorType>(bias_shape, bias_data_type, 1, QuantizationInfo()) : TensorType();
TensorType dst = create_tensor<TensorType>(output_shape, data_type, 1, dst_qinfo, data_layout);
// Create and configure function
FunctionType conv{};
conv.configure(&src, &weights, has_bias ? &bias : nullptr, &dst, conv3d_info);
ARM_COMPUTE_ASSERT(src.info()->is_resizable());
ARM_COMPUTE_ASSERT(weights.info()->is_resizable());
ARM_COMPUTE_ASSERT(dst.info()->is_resizable());
// Allocate tensors
src.allocator()->allocate();
weights.allocator()->allocate();
dst.allocator()->allocate();
ARM_COMPUTE_ASSERT(!src.info()->is_resizable());
ARM_COMPUTE_ASSERT(!weights.info()->is_resizable());
ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
// Fill tensors
fill(AccessorType(src), 0);
fill(AccessorType(weights), 1);
if(has_bias)
{
ARM_COMPUTE_ASSERT(bias.info()->is_resizable());
bias.allocator()->allocate();
ARM_COMPUTE_ASSERT(!bias.info()->is_resizable());
fill(AccessorType(bias), 2);
}
// Compute Direct Convolution 3D function
conv.run();
return dst;
}
SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape,
const Conv3dInfo &conv3d_info, bool has_bias, const DataType &data_type, const DataType &bias_data_type, const QuantizationInfo &src_qinfo,
const QuantizationInfo &weights_qinfo, const QuantizationInfo &dst_qinfo)
{
// Create reference
SimpleTensor<T> src{ input_shape, data_type, 1, src_qinfo };
SimpleTensor<T> weights{ weights_shape, data_type, 1, weights_qinfo };
SimpleTensor<TBias> bias{ bias_shape, bias_data_type };
SimpleTensor<T> dst{ output_shape, data_type, 1, dst_qinfo };
// Fill reference
fill(src, 0);
fill(weights, 1);
if(has_bias)
{
fill(bias, 2);
}
return reference::activation_layer(reference::conv3d<T, TBias>(src, weights, bias, dst, conv3d_info), conv3d_info.act_info);
}
TensorType _target{};
SimpleTensor<T> _reference{};
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class DirectConvolution3DValidationFixture : public DirectConvolution3DValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
{
public:
void setup(TensorShape input_shape, int stride_x, int stride_y, int stride_z, int pad_x, int pad_y, int pad_z, unsigned int kernel_width, int kernel_height, int kernel_depth,
unsigned int num_kernels, bool has_bias, ActivationLayerInfo act_info, DataType data_type, DataLayout data_layout)
{
DirectConvolution3DValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, stride_x, stride_y, stride_z, pad_x, pad_y, pad_z, kernel_width, kernel_height,
kernel_depth, num_kernels, has_bias, act_info, data_type, data_layout);
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class DirectConvolution3DValidationQuantizedFixture : public DirectConvolution3DValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
{
public:
void setup(TensorShape input_shape, int stride_x, int stride_y, int stride_z, int pad_x, int pad_y, int pad_z, unsigned int kernel_width, int kernel_height, int kernel_depth,
unsigned int num_kernels, bool has_bias, ActivationLayerInfo act_info, DataType data_type, DataLayout data_layout, QuantizationInfo src_qinfo, QuantizationInfo weights_qinfo,
QuantizationInfo dst_qinfo)
{
DirectConvolution3DValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, stride_x, stride_y, stride_z, pad_x, pad_y, pad_z, kernel_width, kernel_height,
kernel_depth, num_kernels, has_bias, act_info, data_type, data_layout, src_qinfo,
weights_qinfo, dst_qinfo);
}
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif // ACL_TESTS_VALIDATION_FIXTURES_DIRECTCONVOLUTION3DFIXTURE_H
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