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/*
* Copyright (c) 2017-2020 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.
*/
#include "helpers.h"
/** This function applies upsample on an input image.
*
* @param[in] src_ptr Pointer to the source image. Supported data types: All.
* @param[in] src_stride_x Stride of the source image in X dimension (in bytes)
* @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)
* @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)
* @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image
* @param[out] dst_ptr Pointer to the destination image. Supported data types: same as @p src_ptr
* @param[in] dst_stride_x Stride of the destination image in X dimension (in bytes)
* @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] dst_stride_y Stride of the destination image in Y dimension (in bytes)
* @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] dst_stride_z Stride of the source tensor in Z dimension (in bytes)
* @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination image
*/
__kernel void deconvolution_upsample(
TENSOR3D_DECLARATION(src),
TENSOR3D_DECLARATION(dst))
{
Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src);
Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst);
// Store result
*((__global DATA_TYPE *)dst.ptr) = *((__global DATA_TYPE *)src.ptr);
}
#if defined(FILTER_WIDTH) && defined(FILTER_HEIGHT) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(DATA_TYPE)
/** This kernel reshapes the deconvolution output tensor before returning the result of the Deconvolution. The decovnolution output tensor
* is the result of a @ref CLGEMM operation between the deconvolution input and the deconvolution filter
*
* @note Data type should be given as a preprocessor argument using -DDATA_TYPE=type, e.g., -DDATA_TYPE=F32
* @note The width of the filter should be given as a preprocessor argument using -DFILTER_WIDTH=width, e.g., -DFILTER_WIDTH=2
* @note The height of the filter should be given as a preprocessor argument using -DFILTER_HEIGHT=height, e.g., -DFILTER_HEIGHT=2
* @note The width of the input should be given as a preprocessor argument using -DSRC_WIDTH=width, e.g., -DSRC_WIDTH=10
* @note The height of the input should be given as a preprocessor argument using -DSRC_HEIGHT=width, e.g., -DSRC_HEIGHT=10
* @note The output data layout is NHWC if the preprocessor argument NUM_FILTERS is defined, NCHW if NUM_FILTERS is not defined
*
* @param[in] src_ptr Pointer to the source image. Supported data types: QASYMM8/QASYMM8_SIGNED/F16/F32
* @param[in] src_stride_x Stride of the source image in X dimension (in bytes)
* @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)
* @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)
* @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image
* @param[out] dst_ptr Pointer to the destination image. Supported data types: same as @p src_ptr
* @param[in] dst_stride_x Stride of the destination image in X dimension (in bytes)
* @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] dst_stride_y Stride of the destination image in Y dimension (in bytes)
* @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] dst_stride_z Stride of the source tensor in Z dimension (in bytes)
* @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination image
* @param[in] bias_ptr (Optional) Pointer to the biases vector. Supported data types: F16/F32/S32
* @param[in] bias_stride_x (Optional) Stride of the biases vector in X dimension (in bytes)
* @param[in] bias_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] bias_offset_first_element_in_bytes (Optional) The offset of the first element in the biases vector
*/
__kernel void deconvolution_reshape(
TENSOR3D_DECLARATION(src),
TENSOR3D_DECLARATION(dst)
#if defined(ADD_BIAS)
,
VECTOR_DECLARATION(bias)
#endif // defined(ADD_BIAS)
)
{
#define FILTER_AREA ((FILTER_WIDTH) * (FILTER_HEIGHT))
Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src);
Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(dst);
const DATA_TYPE data = *(__global DATA_TYPE *)src.ptr;
// Store result
const int x_in = get_global_id(0);
const int y_in = get_global_id(1);
const int z_in = get_global_id(2);
#if defined(NUM_FILTERS)
const int bias_index = x_in / (FILTER_AREA);
const int z_out = bias_index + (NUM_FILTERS) * (z_in / (SRC_HEIGHT));
const int x_out = x_in % (FILTER_WIDTH) + y_in * (FILTER_WIDTH);
const int y_out = (FILTER_HEIGHT) * (z_in % (SRC_HEIGHT)) + ((x_in % (FILTER_AREA)) / (FILTER_WIDTH));
#else // defined(NUM_FILTERS)
const int x_out = x_in / (FILTER_AREA);
const int y_out = x_in % (FILTER_WIDTH) + y_in * (FILTER_WIDTH);
const int z_out = (FILTER_HEIGHT) * z_in + ((x_in % (FILTER_AREA)) / (FILTER_WIDTH));
const int bias_index = x_out;
#endif // defined(NUM_FILTERS)
#if defined(ADD_BIAS)
Vector bias = CONVERT_TO_VECTOR_STRUCT_NO_STEP(bias);
const DATA_TYPE bias_val = *(__global DATA_TYPE *)vector_offset(&bias, bias_index);
*((__global DATA_TYPE *)tensor3D_offset(&dst, x_out, y_out, z_out)) = data + bias_val;
#else // defined(ADD_BIAS)
*((__global DATA_TYPE *)tensor3D_offset(&dst, x_out, y_out, z_out)) = data;
#endif // defined(ADD_BIAS)
#undef FILTER_AREA
}
#endif // defined(FILTER_WIDTH) && defined(FILTER_HEIGHT) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(DATA_TYPE)
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