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Diffstat (limited to 'src/core/CL/cl_kernels/dwc_native_fp_nhwc.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/dwc_native_fp_nhwc.cl | 203 |
1 files changed, 0 insertions, 203 deletions
diff --git a/src/core/CL/cl_kernels/dwc_native_fp_nhwc.cl b/src/core/CL/cl_kernels/dwc_native_fp_nhwc.cl deleted file mode 100644 index dbe9cb9285..0000000000 --- a/src/core/CL/cl_kernels/dwc_native_fp_nhwc.cl +++ /dev/null @@ -1,203 +0,0 @@ -/* - * Copyright (c) 2021 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 "helpers_asymm.h" -#include "tile_helpers.h" - -#if defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(DST_WIDTH) && defined(DST_HEIGHT) && defined(WEI_WIDTH) && defined(WEI_HEIGHT) && defined(N0) && defined(M0) && defined(DILATION_X) && defined(DILATION_Y) && defined(STRIDE_X) && defined(STRIDE_Y) && defined(PAD_LEFT) && defined(PAD_TOP) -//! @cond Doxygen_Suppress -/** OpenCL kernel to compute the depthwise convolution for floating-point data types (F32/F16) - * - * @note Data layout supported: NHWC - * @note Data type supported: F32/F16 - * @note The accumulation data type must be passed at compile time using -DACC_DATA_TYPE (e.g. -DDATA_TYPE_PROMOTED=half) - * @note The convolution padding (left and top) must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (e.g. -DPAD_LEFT=2, -DPAD_TOP=2) - * @note The convolution strides must be passed at compile time using -DSTRIDE_X and -DSTRIDE_Y (e.g. -DSTRIDE_X=2, -DSTRIDE_Y=2) - * @note The convolution dilations must be passed at compile time using -DDILATION_X and -DDILATION_Y (e.g. -DDILATION_X=2, -DDILATION_Y=2) - * @note The spatial dimensions of the weights must be passed at compile time using -DWEI_WIDTH and -DWEI_HEIGHT (e.g. -DWEI_WIDTH=9, -DWEI_HEIGHT=9) - * @note The spatial dimensions of the source tensor must be passed at compile time using -DSRC_WIDTH and -DSRC_HEIGHT (e.g. -DSRC_WIDTH=96, -DSRC_HEIGHT=64) - * @note The spatial dimensions of the destination tensor must be passed at compile time using -DDST_WIDTH and -DDST_HEIGHT (e.g. -DDST_WIDTH=96, -DDST_HEIGHT=64) - * @note The channels of the source tensor must be passed at compile time using -DSRC_CHANNELS (e.g. -DSRC_CHANNELS=64) - * @note The channels of the destination tensor must be passed at compile time using -DDST_CHANNELS (e.g. -DDDST_CHANNELS=64) - * @note The tensor type ("BUFFER" or "IMAGE") of the source tensor must be passed at compile time using -DSRC_TENSOR_TYPE (e.g. -DSRC_TENSOR_TYPE=BUFFER) - * @note The tensor type ("BUFFER" or "IMAGE") of the weights tensor must be passed at compile time using -DWEI_TENSOR_TYPE (e.g. -DWEI_TENSOR_TYPE=BUFFER) - * @note The tensor type ("BUFFER" or "IMAGE") of the destination tensor must be passed at compile time using -DDST_TENSOR_TYPE (e.g. -DDST_TENSOR_TYPE=BUFFER) - * @note The data type of the source tensor must be passed at compile time using -DSRC_DATA_TYPE (e.g. -DSRC_DATA_TYPE=float) - * @note The data type of the weights tensor must be passed at compile time using -DWEI_DATA_TYPE (e.g. -DWEI_DATA_TYPE=float) - * @note The data type of the destination tensor must be passed at compile time using -DDST_DATA_TYPE (e.g. -DDST_DATA_TYPE=float) - * @note The data type of the accumulators must be passed at compile time using -DACC_DATA_TYPE (e.g. -DACC_DATA_TYPE=float) - * @note The number of M0 rows (width) to process must be passed at compile time using -DM0 (e.g. -DM0=2) - * @note The number of N0 output channels to process must be passed at compile time using -DN0 (e.g. -DN0=2) - * @note The size of the partial store block in the first dimension must be passed at compile time using -DPARTIAL_N0 (e.g. -DPARTIAL_N0=1) - * @note Only the following configurations of M0 and N0 are currently supported: - * - M0 = 1, 2, 3, 4, 5, .... n (M0 != 1 with STRIDE_X == 1 && DILATION_X == 1 only) - * - N0 = 2, 3, 4, 8, 16 (only 4, 8 and 16 if WEI_TENSOR_TYPE=IMAGE) - * @note The number of rows to read from the src tensor must be passed at compile time using -DM0_A (e.g., -DM0_A=3). M0_A must be equal to WEI_WIDTH + (M0 - 1) - * - * @param[in] src_ptr Pointer to the source tensor. Supported data type: F16/F32 - * @param[in] src_stride_x Stride of the source tensor 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 tensor 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_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] dst_ptr Pointer to the destination tensor. Supported data type: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor 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 tensor 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 destination 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_stride_w Stride of the destination tensor in W dimension (in bytes) - * @param[in] dst_step_w dst_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] wei_ptr Pointer to the weights tensor. Supported data type: same as @p src_ptr - * @param[in] wei_stride_x Stride of the weights tensor in X dimension (in bytes) - * @param[in] wei_step_x wei_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] wei_stride_y Stride of the weights tensor in Y dimension (in bytes) - * @param[in] wei_step_y wei_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] wei_stride_z Stride of the weights tensor in Z dimension (in bytes) - * @param[in] wei_step_z wei_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] wei_stride_w Stride of the weights tensor in W dimension (in bytes) - * @param[in] wei_step_w wei_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] wei_offset_first_element_in_bytes The offset of the first element in the bias matrix - * @param[in] bia_ptr (Optional) Pointer to the bias tensor Supported data type: same as @p src_ptr (if F32/F16) or S32 (if QASYMM8/QASYMM8_SIGNED) - * @param[in] bia_stride_x (Optional) Stride of the bias tensor in X dimension (in bytes) - * @param[in] bia_step_x (Optional) bia_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] bia_offset_first_element_in_bytes (Optional) The offset of the first element in the bias matrix - */ -//! @endcond -__kernel void dwc_native_fp_nhwc( - TENSOR4D(src, SRC_TENSOR_TYPE), - TENSOR4D(dst, DST_TENSOR_TYPE), - TENSOR4D(wei, WEI_TENSOR_TYPE) -#if defined(HAS_BIAS) - , - VECTOR_DECLARATION(bia) -#endif // defined(HAS_BIAS) -) -{ - // All the tensor dimensions are passed at compile time. - // In case of dynamic tensor support, the following dimensions should be passed as function argument. -#define _IWEI_WIDTH WEI_WIDTH -#define _IWEI_HEIGHT WEI_HEIGHT -#define _ISRC_WIDTH SRC_WIDTH -#define _ISRC_HEIGHT SRC_HEIGHT -#define _IDST_WIDTH DST_WIDTH -#define _IDST_HEIGHT DST_HEIGHT -#define _IDST_CHANNELS DST_CHANNELS -#define _IM0_A M0_A // _IWEI_WIDTH + (M0 - 1) Rows tile A (If M0 != 1, the tiles overlap of 1 element on the X dimension) -#define _IN0_A N0 // Cols tile A -#define _IM0_B _IWEI_WIDTH // Rows tile B -#define _IN0_B N0 // Cols tile B -#define _IBOUNDARY_CHECK (!((WEI_WIDTH == 1 && WEI_HEIGHT == 1 && PAD_LEFT == 0 && PAD_TOP == 0 && M0 == 1))) - - const int cout = GET_SPATIAL_IDX(0, N0, PARTIAL_N0); // OFM - const int xo = GET_SPATIAL_IDX(1, M0, 0); // WIDTH -#if defined(BATCHED_EXECUTION) - const int yo = GET_SPATIAL_IDX(2, 1, 0) % _IDST_HEIGHT; // HEIGHT - const int bout = GET_SPATIAL_IDX(2, 1, 0) / _IDST_HEIGHT; // BATCH SIZE IDX -#else // defined(BATCHED_EXECUTION) - const int yo = GET_SPATIAL_IDX(2, 1, 0); // HEIGHT - const int bout = 0; // BATCH SIZE IDX -#endif // defined(BATCHED_EXECUTION) - - int xi = xo * STRIDE_X; - int yi = yo * STRIDE_Y; - xi -= PAD_LEFT; - yi -= PAD_TOP; - - int d = 0; -#if DEPTH_MULTIPLIER != 1 - for(; d < DEPTH_MULTIPLIER; d++) -#endif // DEPTH_MULTIPLIER != 1 - { - TILE(ACC_DATA_TYPE, M0, N0, c); - - // Reset accumulators - LOOP_UNROLLING(int, i, 0, 1, M0, - { - c[i].v = 0; - }) - - LOOP_UNROLLING(int, yk, 0, 1, _IWEI_HEIGHT, - { - TILE(SRC_DATA_TYPE, _IM0_A, _IN0_A, a); - - LOOP_UNROLLING(int, i, 0, 1, _IM0_A, - { - a[i].v = 0; - }) - - // Load tile from the src tensor (TILE A) - T_LOAD_NHWC_WITH_DILATION(SRC_DATA_TYPE, 1, _IM0_A, _IN0_A, SRC_TENSOR_TYPE, src, bout, yi + yk * DILATION_Y, xi, cout, _ISRC_WIDTH, _ISRC_HEIGHT, DILATION_X, 1, src_stride_y, _IBOUNDARY_CHECK, a); - - TILE(WEI_DATA_TYPE, _IM0_B, _IN0_B, b); - - // Load tile from the weights tensor (TILE B) - T_LOAD(WEI_DATA_TYPE, _IM0_B, _IN0_B, WEI_TENSOR_TYPE, wei, (cout * DEPTH_MULTIPLIER) + d, yk * _IM0_B, 1, wei_stride_y, b); - - // Optimized path for STRIDE_X == 1 - // If M0 != 1, we can skip the common loads between the two applied kernels on the X (WIDTH) dimension - LOOP_UNROLLING(int, m0, 0, 1, M0, - { - LOOP_UNROLLING(int, xk, 0, 1, _IWEI_WIDTH, - { - c[m0].v += a[xk + m0].v *b[xk].v; - }) - }) - }) - -#if defined(HAS_BIAS) - TILE(BIA_DATA_TYPE, 1, N0, bias0); - - T_LOAD(BIA_DATA_TYPE, 1, N0, BUFFER, bia, (cout * DEPTH_MULTIPLIER) + d, 0, 0, 0, bias0); - - // c = c + bias[broadcasted] - T_ADD_BROADCAST_X(ACC_DATA_TYPE, M0, N0, c, bias0, c); -#endif // HAS_BIAS - - T_ACTIVATION(ACC_DATA_TYPE, M0, N0, ACTIVATION_TYPE, A_VAL, B_VAL, c, c); - - TILE(uint, M0, 1, dst_indirect_y); - - bool x_cond = PARTIAL_N0 != 0 && get_global_id(0) == 0; - - // Calculate the destination indirect Y - LOOP_UNROLLING(int, i, 0, 1, M0, - { - dst_indirect_y[i].v = min(xo + i, (int)(_IDST_WIDTH) - 1) + yo *_IDST_WIDTH; - dst_indirect_y[i].v += bout * (int)(_IDST_WIDTH * _IDST_HEIGHT); - }) - - // Store the tile in reverse order so the invalid values are overwritten with the valid ones - T_STORE_INDIRECT_WIDTH_SELECT(DST_DATA_TYPE, M0, N0, PARTIAL_N0, DST_TENSOR_TYPE, dst, (cout * DEPTH_MULTIPLIER) + d, dst_stride_y, x_cond, c, dst_indirect_y); - } -} -#endif // defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(DST_WIDTH) && defined(DST_HEIGHT) && defined(WEI_WIDTH) && defined(WEI_HEIGHT) && defined(N0) && defined(M0) && defined(DILATION_X) && defined(DILATION_Y) && defined(STRIDE_X) && defined(STRIDE_Y) && defined(PAD_LEFT) && defined(PAD_TOP)
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