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/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. 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.
*/
/*
* Copyright (c) 2017-2019 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"
#define CONVERT_RTE(x, type) (convert_##type##_rte((x)))
#define CONVERT_RTE_VEC_STR(x, type, size) (convert_##type##size##_rte((x)))
#define CONVERT_RTE_VEC(x, type, size) CONVERT_RTE_VEC_STR(x, type, size)
#define MIN_QUANT_VAL -127
#define MAX_QUANT_VAL 127
#if defined(VEC_SIZE) && defined(DATA_TYPE_IN) && defined(DATA_TYPE_OUT)
/** This performs the quantization of floating point inputs to 8-bit unsigned integers.
*
* @note Input data type should be given as a preprocessor argument using -DDATA_TYPE_IN=type. e.g.
* -DDATA_TYPE=short
* @note Output data type should be given as a preprocessor argument using -DDATA_TYPE_OUT=type.
* e.g. -DDATA_TYPE=short
* @note Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g.
* -DVEC_SIZE=16
* @note Quantization scale should be given as a preprocessor argument using -DSCALE=scale. e.g.
* -DSCALE=0.125
* @note Quantization offset should be given as a preprocessor argument using -DOFFSET=offset. e.g.
* -DOFFSET=125
* @note Minimum value for quantized type should be given as a preprocessor argument using
* -DMIN_QUANT_VAL=value. e.g. -DMIN_QUANT_VAL=0
* @note Maximum value for quantized type should be given as a preprocessor argument using
* -DMAX_QUANT_VAL=value. e.g. -DMAXIN_QUANT_VAL=255
*
* @param[in] input_ptr Pointer to the source tensor. Supported data
* types: F32
* @param[in] input_stride_x Stride of the source tensor in X dimension (in
* bytes)
* @param[in] input_step_x input_stride_x * number of elements along X
* processed per workitem(in bytes)
* @param[in] input_stride_y Stride of the source tensor in Y dimension (in
* bytes)
* @param[in] input_step_y input_stride_y * number of elements along Y
* processed per workitem(in bytes)
* @param[in] input_offset_first_element_in_bytes The offset of the first element in the source
* tensor
* @param[out] output_ptr Pointer to the destination tensor. Supported
* data types: S8
* @param[in] output_stride_x Stride of the destination tensor in X dimension
* (in bytes)
* @param[in] output_step_x output_stride_x * number of elements along X
* processed per workitem(in bytes)
* @param[in] output_stride_y Stride of the destination tensor in Y dimension
* (in bytes)
* @param[in] output_step_y output_stride_y * number of elements along Y
* processed per workitem(in bytes)
* @param[in] output_offset_first_element_in_bytes The offset of the first element in the
* destination tensor
* @param[out] scale_ptr Pointer to the scale tensor. Supported data
* types: F32
* @param[in] scale_stride_x Stride of the destination tensor in X dimension
* (in bytes)
* @param[in] scale_step_x scale_stride_x * number of elements along X
* processed per workitem(in bytes)
*/
__kernel void quantization_symm8(IMAGE_DECLARATION(input), VECTOR_DECLARATION(scale),
IMAGE_DECLARATION(output))
{
// Get pixels pointer
Image input = CONVERT_TO_IMAGE_STRUCT(input);
Image output = CONVERT_TO_IMAGE_STRUCT(output);
#if defined(VEC_SIZE) && defined(LAST_ACCESSED_X)
// Check if access on width gets out of bounds
// If it does shift access vector to access elements within bounds
const int xi = (int)(get_global_id(0) * VEC_SIZE);
input.ptr -= max(xi - (int)LAST_ACCESSED_X, 0) * input_stride_x;
output.ptr -= max(xi - (int)LAST_ACCESSED_X, 0) * output_stride_x;
// Load data
VEC_DATA_TYPE(DATA_TYPE_IN, VEC_SIZE)
val = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE_IN *)input.ptr);
// Create scale vector
const VEC_DATA_TYPE(DATA_TYPE_IN, VEC_SIZE) vscale =
*(((__global DATA_TYPE_IN *)(scale_ptr)) + get_global_id(1));
// Quantize
VEC_DATA_TYPE(int, VEC_SIZE)
res = CLAMP(CONVERT_RTE_VEC(val / vscale, int, VEC_SIZE), MIN_QUANT_VAL, MAX_QUANT_VAL);
// Store result
VSTORE(VEC_SIZE)
(CONVERT(res, VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE)), 0, (__global DATA_TYPE_OUT *)output.ptr);
#else //! defined(VEC_SIZE) || !defined(LAST_ACCESSED_X)
*((__global DATA_TYPE_OUT *)(output.ptr)) = (DATA_TYPE_OUT)CLAMP(
CONVERT_RTE((*(__global DATA_TYPE_IN *)input.ptr) /
(*(((__global DATA_TYPE_IN *)(scale_ptr)) + get_global_id(1))),
int),
MIN_QUANT_VAL, MAX_QUANT_VAL);
#endif // defined(VEC_SIZE) && defined(LAST_ACCESSED_X)
}
#endif // defined(VEC_SIZE) && defined(DATA_TYPE_IN) && defined(DATA_TYPE_OUT)
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