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/*
* Copyright (c) 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.
*/
#include "activation_float_helpers.h"
#include "helpers.h"
#include "tile_helpers.h"
#ifdef BIAS
// This function performs in-place bias addition for integer datatype when bias is enabled.
// Note The tile's dimensions used for the LHS and RHS matrices (M0, N0) must be passed at compile time using -DN0, -DM0 (e.g. -DN0=8, -DM0=4).
inline void perform_bias_addition(uchar *bias_ptr, uint bias_offset_first_element_in_bytes, TILE(int, M0, N0, acc), uint x)
{
TILE(int, 1, N0, bias_tile);
// below expands to use bias_ptr and bias_offset_first_element_in_bytes
T_LOAD(int, 1, N0, BUFFER, bias, x, 0, 1, 0, bias_tile);
// c = c + bias[broadcasted]
T_ELTWISE_BROADCAST_ADD_X(int, M0, N0, acc, bias_tile, acc);
}
#endif // defined(BIAS)
#if defined(MAT_MUL_NATIVE_QUANTIZED_MMUL_NT_NT)
/** This OpenCL kernel performs the batch matrix multiplication (BatchMatMul): LHS non-transposed, RHS non-transposed - buffer only
*
* TODO: report build configuration
*
* @param[in] lhs_ptr Pointer to the lhs matrix. Supported data types: QASYMM8_SIGNED/QASYMM8
* @param[in] lhs_stride_y Stride of the lhs matrix in Y (2nd) dimension (in bytes)
* @param[in] lhs_stride_z Stride of the lhs tensor in Z (3rd) dimension (in bytes)
* @param[in] lhs_w The width of the lhs tensor
* @param[in] lhs_h The height of the lhs tensor
* @param[in] lhs_n Number of the matrices (buffers) in the batch
* @param[in] lhs_offset_first_element_in_bytes The offset of the first element in the lhs matrix
* @param[in] rhs_ptr Pointer to the rhs matrix. Supported data types: same as @p lhs_ptr
* @param[in] rhs_stride_y Stride of the rhs matrix in Y (2nd) dimension (in bytes)
* @param[in] rhs_stride_z Stride of the rhs tensor in Z (3rd) dimension (in bytes)
* @param[in] rhs_w The width of the rhs tensor
* @param[in] rhs_h The height of the rhs tensor
* @param[in] rhs_n Number of the matrices (buffers) in the batch
* @param[in] rhs_offset_first_element_in_bytes The offset of the first element in the rhs matrix
* @param[in] bias_ptr (Optional) Pointer to the bias tensor. Supported data type: same as @p lhs_ptr
* @param[in] bias_stride_y (Optional) Stride of the bias tensor in Y dimension (in bytes)
* @param[in] bias_stride_z (Optional) Stride of the bias tensor in Z dimension (in bytes)
* @param[in] bias_w (Optional) The size of the width dimension of the bias tensor
* @param[in] bias_h (Optional) The size of the height dimension of the bias tensor
* @param[in] bias_n (Optional) The size of the depth dimension of the bias tensor
* @param[in] bias_offset_first_element_in_bytes (Optional) The offset of the first element in the bias tensor
* @param[out] dst_ptr Pointer to the dst matrix. Supported data types: same as @p lhs_ptr
* @param[in] dst_stride_y Stride of the dst matrix in Y (2nd) dimension (in bytes)
* @param[in] dst_stride_z Stride of the dst tensor in Z (3rd) dimension (in bytes)
* @param[in] dst_w The width of the dst tensor
* @param[in] dst_h The height of the dst tensor
* @param[in] dst_n Number of the matrices (buffers) in the batch
* @param[in] dst_offset_first_element_in_bytes The offset of the first element in the dst matrix
*/
__kernel void mat_mul_native_quantized_mmul_nt_nt(
TENSOR3D_T(lhs, BUFFER),
TENSOR3D_T(rhs, BUFFER),
#ifdef BIAS
TENSOR3D_T(bias, BUFFER),
#endif // defined(BIAS)
TENSOR3D_T(dst, BUFFER))
{
}
#endif // defined(MAT_MUL_NATIVE_QUANTIZED_MMUL_NT_NT)
#if defined(MAT_MUL_NATIVE_QUANTIZED_MMUL_NT_T)
/** This OpenCL kernel performs the batch matrix multiplication (BatchMatMul): LHS non-transposed, RHS transposed - buffer only
*
* Supported block configurations:
* TODO: Report supported M0, N0, K0
*
* Similar to mat_mul_native_quantized_mmul_nt_nt()
*/
__kernel void mat_mul_native_quantized_mmul_nt_t(
TENSOR3D_T(lhs, BUFFER),
TENSOR3D_T(rhs, BUFFER),
#ifdef BIAS
TENSOR3D_T(bias, BUFFER),
#endif // defined(BIAS)
TENSOR3D_T(dst, BUFFER))
{
}
#endif // defined(MAT_MUL_NATIVE_QUANTIZED_MMUL_NT_T)
#if defined(MAT_MUL_NATIVE_QUANTIZED_MMUL_T_NT)
/** This OpenCL kernel performs the batch matrix multiplication (BatchMatMul): LHS transposed, RHS non-transposed
*
* Supported block configurations:
* TODO: Report supported M0, N0, K0
*
* Similar to mat_mul_native_quantized_mmul_nt_nt()
*/
__kernel void mat_mul_native_quantized_mmul_t_nt(
TENSOR3D_T(lhs, BUFFER),
TENSOR3D_T(rhs, BUFFER),
#ifdef BIAS
TENSOR3D_T(bias, BUFFER),
#endif // defined(BIAS)
TENSOR3D_T(dst, BUFFER))
{
}
#endif // defined(MAT_MUL_NATIVE_QUANTIZED_MMUL_T_NT)
#if defined(MAT_MUL_NATIVE_QUANTIZED_MMUL_T_T)
/** This OpenCL kernel performs the batch matrix multiplication (BatchMatMul): LHS transposed, RHS transposed
*
* Supported block configurations:
* TODO: Report supported M0, N0, K0
*
* Similar to mat_mul_native_quantized_mmul_nt_nt()
*/
__kernel void mat_mul_native_quantized_mmul_t_t(
TENSOR3D_T(lhs, BUFFER),
TENSOR3D_T(rhs, BUFFER),
#ifdef BIAS
TENSOR3D_T(bias, BUFFER),
#endif // defined(BIAS)
TENSOR3D_T(dst, BUFFER))
{
}
#endif // defined(MAT_MUL_NATIVE_QUANTIZED_MMUL_T_T)
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