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/*
* Copyright (c) 2021-2022 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 "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/fp_post_ops_act_eltwise_op_act.h"
#include "common/experimental/gemm_fused_post_ops/fp_elementwise_op_helpers.h"
#include "common/experimental/gemm_fused_post_ops/fp_mixed_precision_helpers.h"
#include "gemm_helpers.h"
#include "repeat.h"
/** (EXPERIMENTAL_POST_OPS) gemm_mm_native kernel */
#if defined(M0) && defined(N0) && defined(K0) && defined(DATA_TYPE) && defined(PARTIAL_STORE_M0) && defined(PARTIAL_STORE_N0)
#if defined(P2_ELTWISE_OP) && defined(P2_ELTWISE_ARG1_HEIGHT) && defined(P2_ELTWISE_ARG1_WIDTH)
#define VFMA(a, b, c) \
({ \
c = fma(a, b, c); \
})
#if M0 == 1
#define RHS_VFMA_M0xN0(i, a, b, c) \
({ \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \
})
#elif M0 == 2 // M0 == 2
#define RHS_VFMA_M0xN0(i, a, b, c) \
({ \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \
})
#elif M0 == 3 // M0 == 3
#define RHS_VFMA_M0xN0(i, a, b, c) \
({ \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \
})
#elif M0 == 4 // M0 == 4
#define RHS_VFMA_M0xN0(i, a, b, c) \
({ \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \
})
#elif M0 == 5 // M0 == 5
#define RHS_VFMA_M0xN0(i, a, b, c) \
({ \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \
})
#elif M0 == 6 // M0 == 6
#define RHS_VFMA_M0xN0(i, a, b, c) \
({ \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##5).s##i), b, (c##5)); \
})
#elif M0 == 7 // M0 == 7
#define RHS_VFMA_M0xN0(i, a, b, c) \
({ \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##5).s##i), b, (c##5)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##6).s##i), b, (c##6)); \
})
#elif M0 == 8 // M0 == 8
#define RHS_VFMA_M0xN0(i, a, b, c) \
({ \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##0).s##i), b, (c##0)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##1).s##i), b, (c##1)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##2).s##i), b, (c##2)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##3).s##i), b, (c##3)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##4).s##i), b, (c##4)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##5).s##i), b, (c##5)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##6).s##i), b, (c##6)); \
VFMA((VEC_DATA_TYPE(DATA_TYPE, N0))((a##7).s##i), b, (c##7)); \
})
#else // M0 not supported
#error "M0 not supported"
#endif // M0 not supported
#if defined(GEMM_MM_NATIVE_POST_ACT_ELTWISE_OP_ACT)
/** This OpenCL kernel computes the matrix multiplication between 2 matrices plus 3 post ops:
* Post op 1: activation (optional)
* Post op 2: elementwise op
* Post op 3: activation (optional)
*
* @note (Optional) -DP1_ACTIVATION_TYPE, -DP1_ACTIVATION_A_VAL, -DP1_ACTIVATION_B_VAL: The activation type, alpha and beta values of the activation post op at slot 3
* @note (Required) -DP2_ELTWISE_OP: The (binary) elementwise post op to perform
* @note (Required) -DP2_ELTWISE_ARG1_HEIGHT: The height (Y dimension) of the eltwise operand matrix of the eltwise post op at slot 2
* @note (Required) -DP2_ELTWISE_ARG1_WIDTH: The width (X dimension) of the eltwise operand matrix of the eltwise post op at slot 2
* @note (Optional) -DP3_ACTIVATION_TYPE, -DP3_ACTIVATION_A_VAL, -DP3_ACTIVATION_B_VAL: The activation type, alpha and beta values of the activation post op at slot 3
*
* All parameters are similarly defined in kernel gemm_mm_native, with these additions:
*
* @param[in] eltwise_operand_ptr Pointer to the eltwise operand matrix. Supported data type: F16/F32
* @param[in] eltwise_operand_stride_x Stride of the eltwise operand matrix in X dimension (in bytes)
* @param[in] eltwise_operand_step_x eltwise_operand_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] eltwise_operand_stride_y Stride of the eltwise operand matrix in Y dimension (in bytes)
* @param[in] eltwise_operand_step_y eltwise_operand_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] eltwise_operand_stride_z Stride of the eltwise operand tensor in Z dimension (in bytes)
*/
__kernel void gemm_mm_native_post_act_eltwise_op_act(IMAGE_DECLARATION(lhs),
IMAGE_DECLARATION(rhs),
#if defined(BETA)
IMAGE_DECLARATION(bias),
#endif // defined(BETA)
IMAGE_DECLARATION(dst),
// Post Op arguments
IMAGE_DECLARATION(eltwise_operand),
uint lhs_stride_z,
uint rhs_stride_z,
#if defined(BETA)
uint bias_stride_z,
#endif //defined(BETA)
uint dst_stride_z,
uint eltwise_operand_stride_z,
const int M,
const int N,
const int K
#if defined(REINTERPRET_INPUT_AS_3D)
,
uint lhs_cross_plane_pad
#endif // REINTERPRET_INPUT_AS_3D
#if defined(REINTERPRET_OUTPUT_AS_3D)
,
uint dst_cross_plane_pad
#endif // REINTERPRET_OUTPUT_AS_3D
)
{
// Block size
#define RHS_BLOCK_SIZE ((K0) * (N0))
// RHS offset and step X
#define RHS_OFFSET_X (RHS_BLOCK_SIZE)
uint x = get_global_id(0);
uint y = get_global_id(1);
uint z = get_global_id(2);
#if defined(DUMMY_WORK_ITEMS)
if((x * N0 >= N) || (y * M0 >= M))
{
return;
}
#endif // defined(DUMMY_WORK_ITEMS)
// Compute LHS matrix address
uint lhs_offset = lhs_offset_first_element_in_bytes + COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * (uint)lhs_stride_y;
// Compute RHS matrix address
uint rhs_offset = rhs_offset_first_element_in_bytes + x * N0 * sizeof(DATA_TYPE);
#if defined(MATRIX_B_DEPTH)
// Do not slide matrix B if the matrix B has 3 dimensions and matrix A more than 3
rhs_offset += (z % MATRIX_B_DEPTH) * rhs_stride_z;
#else // defined(MATRIX_B_DEPTH)
rhs_offset += z * rhs_stride_z;
#endif // defined(MATRIX_B_DEPTH)
REPEAT_VAR_INIT_TO_CONST(M0, uint, zlhs, 0);
REPEAT_VAR_INIT_TO_CONST(16, uint, zero, 0);
#if defined(REINTERPRET_INPUT_AS_3D)
// The plane (zlhs) is calculated dividing M (y * M0) by HEIGHT_GEMM3D
CALCULATE_Z_OFFSET(M0, uint, zlhs, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), HEIGHT_GEMM3D, DEPTH_GEMM3D, lhs_cross_plane_pad, lhs_stride_y);
// Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we
// multiply lhs_stride_z by DEPTH_GEMM3D
lhs_offset += z * lhs_stride_z * DEPTH_GEMM3D;
#else // defined(REINTERPRET_INPUT_AS_3D)
// Add offset for batched GEMM
lhs_offset += z * lhs_stride_z;
#endif // defined(REINTERPRET_INPUT_AS_3D)
// Initialize the accumulators
REPEAT_VAR_INIT_TO_CONST(M0, VEC_DATA_TYPE(DATA_TYPE, N0), c, 0); //VEC_DATA_TYPE(DATA_TYPE, N0) c0=0,c1=0,c2=0,... c(M0-1)=0;
int i = 0;
#if K0 > 1
for(; i <= (K - K0); i += K0)
{
// Supported cases (M0, K0):
// 1,2 - 1,3 - 1,4 - 1,8 - 1,16
// 2,2 - 2,3 - 2,4 - 2,8 - 2,16
// 3,2 - 3,3 - 3,4 - 3,8 - 3,16
// 4,2 - 4,3 - 4,4 - 4,8 - 4,16
// 5,2 - 5,3 - 5,4 - 5,8 - 5,16
// 6,2 - 6,3 - 6,4 - 6,8 - 6,16
// 7,2 - 7,3 - 7,4 - 7,8 - 7,16
// 8,2 - 8,3 - 8,4 - 8,8 - 8,16
// Load values from LHS matrix
LOAD_BLOCK(M0, K0, DATA_TYPE, a, lhs_ptr, lhs_offset, lhs_stride_y, zlhs);
// Load values from RHS matrix
LOAD_BLOCK(K0, N0, DATA_TYPE, b, rhs_ptr, rhs_offset, rhs_stride_y, zero);
RHS_VFMA_M0xN0(0, a, b0, c);
RHS_VFMA_M0xN0(1, a, b1, c);
#if K0 > 2
RHS_VFMA_M0xN0(2, a, b2, c);
#endif // K0 > 2
#if K0 > 3
RHS_VFMA_M0xN0(3, a, b3, c);
#endif // K0 > 3
#if K0 > 4
RHS_VFMA_M0xN0(4, a, b4, c);
RHS_VFMA_M0xN0(5, a, b5, c);
RHS_VFMA_M0xN0(6, a, b6, c);
RHS_VFMA_M0xN0(7, a, b7, c);
#endif // K0 > 4
#if K0 > 8
RHS_VFMA_M0xN0(8, a, b8, c);
RHS_VFMA_M0xN0(9, a, b9, c);
RHS_VFMA_M0xN0(A, a, bA, c);
RHS_VFMA_M0xN0(B, a, bB, c);
RHS_VFMA_M0xN0(C, a, bC, c);
RHS_VFMA_M0xN0(D, a, bD, c);
RHS_VFMA_M0xN0(E, a, bE, c);
RHS_VFMA_M0xN0(F, a, bF, c);
#endif // K0 > 8
lhs_offset += K0 * sizeof(DATA_TYPE);
rhs_offset += K0 * rhs_stride_y;
}
#endif // K0 > 1
// Left-over accumulations
for(; i < K; ++i)
{
// Load values from LHS matrix
VEC_DATA_TYPE(DATA_TYPE, 2)
a0 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 0 * lhs_stride_y + zlhs0));
#if M0 > 1
VEC_DATA_TYPE(DATA_TYPE, 2)
a1 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 1 * lhs_stride_y + zlhs1));
#endif // M0 > 1
#if M0 > 2
VEC_DATA_TYPE(DATA_TYPE, 2)
a2 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 2 * lhs_stride_y + zlhs2));
#endif // M0 > 2
#if M0 > 3
VEC_DATA_TYPE(DATA_TYPE, 2)
a3 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 3 * lhs_stride_y + zlhs3));
#endif // M0 > 3
#if M0 > 4
VEC_DATA_TYPE(DATA_TYPE, 2)
a4 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 4 * lhs_stride_y + zlhs4));
#endif // M0 > 4
#if M0 > 5
VEC_DATA_TYPE(DATA_TYPE, 2)
a5 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 5 * lhs_stride_y + zlhs5));
#endif // M0 > 5
#if M0 > 6
VEC_DATA_TYPE(DATA_TYPE, 2)
a6 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 6 * lhs_stride_y + zlhs6));
#endif // M0 > 6
#if M0 > 7
VEC_DATA_TYPE(DATA_TYPE, 2)
a7 = *((__global DATA_TYPE *)(lhs_ptr + lhs_offset + 7 * lhs_stride_y + zlhs7));
#endif // M0 > 7
VEC_DATA_TYPE(DATA_TYPE, N0)
b = VLOAD(N0)(0, (__global DATA_TYPE *)(rhs_ptr + rhs_offset + 0 * rhs_stride_y));
RHS_VFMA_M0xN0(0, a, b, c);
lhs_offset += sizeof(DATA_TYPE);
rhs_offset += rhs_stride_y;
}
__global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * dst_stride_y);
REPEAT_VAR_INIT_TO_CONST(M0, uint, zout, 0);
#if defined(REINTERPRET_OUTPUT_AS_3D)
// The plane (zout) is calculated dividing M (y * M0) by HEIGHT_GEMM3D
CALCULATE_Z_OFFSET(M0, uint, zout, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), HEIGHT_GEMM3D, DEPTH_GEMM3D, dst_cross_plane_pad, dst_stride_y);
// Add offset for batched GEMM. The batches will be in the fourth dimension and for this reason we
// multiply dst_stride_z by DEPTH_GEMM3D
dst_addr += z * dst_stride_z * DEPTH_GEMM3D;
#else // defined(REINTERPRET_OUTPUT_AS_3D)
// Add offset for batched GEMM
dst_addr += z * dst_stride_z;
#endif // defined(REINTERPRET_OUTPUT_AS_3D)
// Multiply by the weight of matrix-matrix product and store the result
#if defined(ALPHA)
SCALE_BLOCK(M0, DATA_TYPE, c, ALPHA);
#endif // defined(ALPHA)
// Add beta*bias
#if defined(BETA)
#if defined(BROADCAST_BIAS)
__global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (get_global_id(0) * (uint)N0 * sizeof(DATA_TYPE));
LOAD_BLOCK(1, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero);
#ifndef UNIT_BETA
SCALE_BLOCK(1, DATA_TYPE, bias, BETA);
#endif // UNIT_BIAS
// c = c + bias[broadcasted]
ADD_BLOCK_BROADCAST(M0, c, bias0);
#else // defined(BROADCAST_BIAS)
__global uchar *bias_addr = bias_ptr + bias_offset_first_element_in_bytes + (x * (uint)N0 * sizeof(DATA_TYPE)) + (COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0) * bias_stride_y) + z * bias_stride_z;
LOAD_BLOCK(M0, N0, DATA_TYPE, bias, bias_addr, 0, bias_stride_y, zero);
#ifndef UNIT_BETA
SCALE_BLOCK(M0, DATA_TYPE, bias, BETA);
#endif // UNIT_BIAS
// c = c + bias
ADD_BLOCK(M0, c, bias);
#endif // defined(BROADCAST_BIAS)
#endif // defined(BETA)
const bool cond_y = y == 0;
const bool cond_x = ((x + 1) * N0 >= N);
// c = act(c)
POST_OP1_ACTIVATION_OPTIONAL(M0, DATA_TYPE, DATA_TYPE_ACCUMULATOR, N0, c);
// c = c + eltwise_operand (mix-precision, broadcast, boundary aware)
POST_OP2_ELTWISE_OP(P2_ELTWISE_OP, M0, N0, c, eltwise_operand, COMPUTE_M0_START_ROW(y, M0, PARTIAL_STORE_M0), DATA_TYPE, DATA_TYPE_ACCUMULATOR, zero, 1, PARTIAL_STORE_N0, false, cond_x);
// c = act(c)
POST_OP3_ACTIVATION_OPTIONAL(M0, DATA_TYPE, DATA_TYPE_ACCUMULATOR, N0, c);
// Store output block
STORE_BLOCK_BOUNDARY_AWARE(M0, N0, DATA_TYPE, c, dst_addr, dst_stride_y, zout, PARTIAL_STORE_M0, PARTIAL_STORE_N0, cond_y, cond_x);
}
#endif // defined(GEMM_MM_NATIVE_POST_ACT_ELTWISE_OP_ACT)
#endif // defined(P2_ELTWISE_OP) && defined(P2_ELTWISE_ARG1_HEIGHT) && defined(P2_ELTWISE_ARG1_WIDTH)
#endif // defined(M0) && defined(N0) && defined(K0) && defined(DATA_TYPE) && defined(PARTIAL_STORE_M0) && defined(PARTIAL_STORE_N0)
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