| /* |
| * Copyright (c) 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 "activation_float_helpers.h" |
| #include "helpers.h" |
| #include "tile_helpers.h" |
| |
| #if defined(INDIRECT_CONVOLUTION_ADDRESS_PRECALCULATION) |
| //! @cond Doxygen_Suppress |
| /** OpenCL kernel to compute the indirect convolution 2d indirect buffer. |
| * |
| * @note This kernel only works for unit batch_size |
| * |
| * @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 kernel width must be passed at compile time using -DWEI_CONV_WIDTH (e.g. -DWEI_CONV_WIDTH=9) |
| * @note The spatial dimensions of the source tensor used by conv2d must be passed at compile time using -DSRC_CONV_WIDTH and -DSRC_CONV_HEIGHT (e.g. -DSRC_CONV_WIDTH=96, -DSRC_CONV_HEIGHT=64) |
| * @note The width dimension of the destination tensor produced by conv2d must be passed at compile time using -DDST_CONV_WIDTH (e.g. -DDST_CONV_WIDTH=96) |
| * @note The tensor type ("BUFFER" only) 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 destination tensor must be passed at compile time using -DDST_DATA_TYPE (e.g. -DDST_DATA_TYPE=float) |
| * @note The number of M0 rows (width*height) to process must be passed at compile time using -DM0 (e.g. -DM0=2) |
| * - M0 = 1, 2, 3, 4, 5, 6, 7, and 8 |
| * |
| * @param[out] dst_img (Not supported) CLImage object to the destination tensor (DST_TENSOR_TYPE=IMAGE only) |
| * @param[out] dst_ptr Pointer to the destination tensor. Supported data type: INT32 |
| * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) |
| * @param[in] dst_c The size of the channels dimension of the destination tensor |
| * @param[in] dst_w The size of the width dimension of the destination tensor |
| * @param[in] dst_h The size of the height dimension of the destination tensor |
| * @param[in] dst_n The size of the batches dimension of the destination tensor |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| */ |
| //! @endcond |
| __kernel void indirect_convolution_address_precalculation( |
| TENSOR4D_T(dst, DST_TENSOR_TYPE)) |
| { |
| const int x = get_global_id(0); |
| const int y = get_global_id(1); |
| const int z = get_global_id(2); |
| |
| // Note: WIDTH = M0 x KernelWidth x KernelHeight |
| |
| // m index |
| const int mi = x % M0; |
| // Kernel index |
| const int ki = x / M0; |
| // Kernel width coordinate |
| const int xk = ki % WEI_CONV_WIDTH; |
| // kernel height coordinate |
| const int yk = ki / WEI_CONV_WIDTH; |
| |
| TILE(DST_DATA_TYPE, 1, 1, xi); |
| TILE(DST_DATA_TYPE, 1, 1, yi); |
| TILE(DST_DATA_TYPE, 1, 1, my); |
| |
| const int mout = y * M0; |
| |
| xi[0].s[0] = ((mout + mi) % DST_CONV_WIDTH) * STRIDE_X; |
| yi[0].s[0] = ((mout + mi) / DST_CONV_WIDTH) * STRIDE_Y; |
| xi[0].s[0] -= PAD_LEFT; |
| yi[0].s[0] -= PAD_TOP; |
| |
| const int x_s = xi[0].s[0] + xk; |
| const int y_s = yi[0].s[0] + yk; |
| my[0].s[0] = x_s + y_s * SRC_CONV_WIDTH; |
| my[0].s[0] = my[0].s[0] + z * (int)(SRC_CONV_WIDTH * SRC_CONV_HEIGHT); |
| my[0].s[0] = select(-1, my[0].s[0], x_s >= 0); |
| my[0].s[0] = select(-1, my[0].s[0], x_s < SRC_CONV_WIDTH); |
| my[0].s[0] = select(-1, my[0].s[0], y_s >= 0); |
| my[0].s[0] = select(-1, my[0].s[0], y_s < SRC_CONV_HEIGHT); |
| |
| VSTORE(1) |
| (my[0].s[0], 0, (__global DST_DATA_TYPE *)(dst_ptr + dst_offset_first_element_in_bytes + x * sizeof(DST_DATA_TYPE) + y * dst_stride_y + z * dst_stride_z)); |
| } |
| #endif // defined(INDIRECT_CONVOLUTION_ADDRESS_PRECALCULATION) |
| |
| #if defined(INDIRECT_CONVOLUTION_NHWC) |
| //! @cond Doxygen_Suppress |
| /** OpenCL kernel to compute the indirect convolution. |
| * |
| * @note Data layout supported: NHWC |
| * @note Data type supported: F32/F16 |
| * @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 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 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 number of M0 rows (width*height) 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 number of K0 inner accumulations must be passed at compile time using -DK0 (e.g. -DK0=2) |
| * @note The size of the partial store block in x must be passed at compile time using -DPARTIAL_N0 (e.g. -DPARTIAL_N0=1) |
| * @note The vector length used for loading the values from the indirect buffer should be passed at compile time using -DIND_BUFF_VEC_SIZE (e.g. -DIND_BUFF_VEC_SIZE=4) |
| * @note The activation function to fuse and corresponding A and B values should be passed at compile time using -DACTIVATION_TYPE, -DA_VAL, and -DB_VAL |
| * (e.g. -DFUNCTION_TYPE=lu_brelu_op, -DA_VAL=3.0, and -DB_VAL=1.0) |
| * @note Only the following configurations of M0, N0 and K0 are currently supported: |
| * - M0 = 1, 2, 3, 4, 5, 6, and 8 |
| * - N0 = 2, 3, 4, 8, 16 |
| * - K0 = 2, 3, 4, 8, 16 (only 4, 8 and 16 if WEI_TENSOR_TYPE=IMAGE) |
| * |
| * @param[in] src_img (Not supported) CLImage object to the source tensor (SRC_TENSOR_TYPE=IMAGE only) |
| * @param[in] src_ptr Pointer to the source tensor. Supported data type: F16/F32 |
| * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) |
| * @param[in] src_c The size of the channels dimension of the source tensor |
| * @param[in] src_w The size of the width dimension of the source tensor |
| * @param[in] src_h The size of the height dimension of the source tensor |
| * @param[in] src_n The size of the batches dimension of the source tensor |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[in] off_img (Not supported) CLImage object to the indirect buffer tensor (OFF_TENSOR_TYPE=IMAGE only) |
| * @param[in] off_ptr Pointer to the indirect buffer tensor. Supported data type: INT32 |
| * @param[in] off_stride_y Stride of the indirect buffer tensor in Y dimension (in bytes) |
| * @param[in] off_stride_z Stride of the indirect buffer tensor in Z dimension (in bytes) |
| * @param[in] off_stride_w Stride of the indirect buffer tensor in W dimension (in bytes) |
| * @param[in] off_c The size of the channels dimension of the indirect buffer tensor |
| * @param[in] off_w The size of the width dimension of the indirect buffer tensor |
| * @param[in] off_h The size of the height dimension of the indirect buffer tensor |
| * @param[in] off_n The size of the batches dimension of the indirect buffer tensor |
| * @param[in] off_offset_first_element_in_bytes The offset of the first element in the indirect buffer tensor |
| * @param[out] dst_img (Not supported) CLImage object to the destination tensor (DST_TENSOR_TYPE=IMAGE only) |
| * @param[out] dst_ptr Pointer to the destination tensor. Supported data type: same as the input tensor |
| * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) |
| * @param[in] dst_c The size of the channels dimension of the destination tensor |
| * @param[in] dst_w The size of the width dimension of the destination tensor |
| * @param[in] dst_h The size of the height dimension of the destination tensor |
| * @param[in] dst_n The size of the batches dimension of the destination tensor |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| * @param[out] wei_img (Optional) CLImage object to the destination tensor (WEI_TENSOR_TYPE=IMAGE only) |
| * @param[out] wei_ptr Pointer to the weights tensor. Supported data type: same as the input tensor |
| * @param[in] wei_stride_y Stride of the weights tensor in Y dimension (in bytes) |
| * @param[in] wei_stride_z Stride of the weights tensor in Z dimension (in bytes) |
| * @param[in] wei_stride_w Stride of the weights tensor in W dimension (in bytes) |
| * @param[in] wei_c The size of the channels dimension of the weights tensor |
| * @param[in] wei_w The size of the width dimension of the weights tensor |
| * @param[in] wei_h The size of the height dimension of the weights tensor |
| * @param[in] wei_n The size of the batches dimension of the weights tensor |
| * @param[in] wei_offset_first_element_in_bytes The offset of the first element in the weights tensor |
| * @param[out] bia_img (Not supported) CLImage object to the destination tensor (BIA_TENSOR_TYPE=IMAGE only) |
| * @param[out] bia_ptr (Optional) Pointer to the bias tensor. Supported data type: same as the input tensor |
| * @param[in] bia_stride_y (Optional) Stride of the bias tensor in Y dimension (in bytes) |
| * @param[in] bia_stride_z (Optional) Stride of the bias tensor in Z dimension (in bytes) |
| * @param[in] bia_stride_w (Optional) Stride of the bias tensor in W dimension (in bytes) |
| * @param[in] bia_c (Optional) The size of the channels dimension of the bias tensor |
| * @param[in] bia_w (Optional) The size of the width dimension of the bias tensor |
| * @param[in] bia_h (Optional) The size of the height dimension of the bias tensor |
| * @param[in] bia_n (Optional) The size of the batches dimension of the bias tensor |
| * @param[in] bia_offset_first_element_in_bytes (Optional) The offset of the first element in the bias tensor |
| */ |
| //! @endcond |
| __kernel void indirect_convolution_nhwc( |
| TENSOR4D_T(src, SRC_TENSOR_TYPE), |
| TENSOR4D_T(off, OFF_TENSOR_TYPE), |
| TENSOR4D_T(dst, DST_TENSOR_TYPE), |
| TENSOR4D_T(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_CHANNELS SRC_CHANNELS |
| #define _IDST_WIDTH DST_WIDTH |
| #define _IDST_HEIGHT DST_HEIGHT |
| #define _IY_MULTIPLIER (_IWEI_WIDTH * _IWEI_HEIGHT) |
| |
| const int cout = GET_SPATIAL_IDX(0, N0, PARTIAL_N0); // OFM |
| const int mout = GET_SPATIAL_IDX(1, M0, 0); // WIDTH x HEIGHT |
| const int bout = GET_SPATIAL_IDX(2, 1, 0); // BATCH SIZE IDX |
| |
| off_offset_first_element_in_bytes += get_global_id(1) * off_stride_y; |
| off_offset_first_element_in_bytes += bout * off_stride_z; |
| |
| // Initialize the accumulators |
| TILE(DST_DATA_TYPE, M0, N0, c); |
| |
| LOOP_UNROLLING(int, i, 0, 1, M0, |
| { |
| c[i].v = 0; |
| }) |
| |
| for(int i = 0; i < (_IWEI_WIDTH * _IWEI_HEIGHT); ++i) |
| { |
| TILE(int, 1, IND_BUFF_VEC_SIZE, my); |
| T_LOAD(int, 1, IND_BUFF_VEC_SIZE, OFF_TENSOR_TYPE, off, i * M0, 0, 1, 0, my); |
| |
| int ck = 0; |
| for(; ck <= (_ISRC_CHANNELS - K0); ck += K0) |
| { |
| TILE(SRC_DATA_TYPE, M0, K0, a); |
| TILE(WEI_DATA_TYPE, N0, K0, b); |
| |
| // Initialize tiles |
| LOOP_UNROLLING(int, i, 0, 1, M0, |
| { |
| a[i].v = 0.0; |
| }) |
| |
| LOOP_UNROLLING(int, i, 0, 1, N0, |
| { |
| b[i].v = 0.0; |
| }) |
| |
| // Load tile from the src tensor |
| T_LOAD2D_INDIRECT(SRC_DATA_TYPE, M0, K0, SRC_TENSOR_TYPE, src, ck, src_stride_y, my, a); |
| |
| // Load tile from the weights tensor |
| T_LOAD(WEI_DATA_TYPE, N0, K0, WEI_TENSOR_TYPE, wei, ck, cout * _IY_MULTIPLIER + i, _IY_MULTIPLIER, wei_stride_y, b); |
| |
| // Compute the matrix multiplication between two tiles |
| T_MMUL(SRC_DATA_TYPE, WEI_DATA_TYPE, DST_DATA_TYPE, M0, N0, K0, NT, T, a, b, c); |
| } |
| |
| // This #if directive should be removed in case of dynamic tensor support |
| #if defined(LEFTOVER_LOOP) |
| // Left-over accumulations |
| for(; ck < _ISRC_CHANNELS; ++ck) |
| { |
| TILE(SRC_DATA_TYPE, M0, 1, a); |
| TILE(WEI_DATA_TYPE, N0, 1, b); |
| |
| // Initialize tiles |
| LOOP_UNROLLING(int, i, 0, 1, M0, |
| { |
| a[i].v = 0.0; |
| }) |
| |
| LOOP_UNROLLING(int, i, 0, 1, N0, |
| { |
| b[i].v = 0.0; |
| }) |
| |
| // Load tile from the src tensor |
| T_LOAD2D_INDIRECT(SRC_DATA_TYPE, M0, 1, SRC_TENSOR_TYPE, src, ck, src_stride_y, my, a); |
| |
| // Load tile from the weights tensor |
| // The T_LOAD for the left-over elements can only use BUFFER because we load one element per iteration |
| T_LOAD(WEI_DATA_TYPE, N0, 1, BUFFER, wei, ck, cout * _IY_MULTIPLIER + i, _IY_MULTIPLIER, wei_stride_y, b); |
| |
| // Compute the matrix multiplication between two tiles |
| T_MMUL(SRC_DATA_TYPE, WEI_DATA_TYPE, DST_DATA_TYPE, M0, N0, 1, NT, T, a, b, c); |
| } |
| #endif // defined(LEFTOVER_LOOP) |
| } |
| |
| #if defined(HAS_BIAS) |
| TILE(BIA_DATA_TYPE, 1, N0, bias0); |
| |
| T_LOAD(BIA_DATA_TYPE, 1, N0, BUFFER, bia, cout, 0, 1, 0, bias0); |
| |
| // c = c + bias[broadcasted] |
| T_ELTWISE_BROADCAST_ADD_X(DST_DATA_TYPE, M0, N0, c, bias0, c); |
| |
| #endif // HAS_BIAS |
| |
| // Apply activation |
| T_ACTIVATION(DST_DATA_TYPE, M0, N0, ACTIVATION_TYPE, A_VAL, B_VAL, c, c); |
| |
| TILE(uint, M0, 1, dst_indirect_y); |
| |
| // Calculate the destination indirect Y |
| LOOP_UNROLLING(int, i, 0, 1, M0, |
| { |
| dst_indirect_y[i].v = (uint)min(mout + i, (int)(_IDST_WIDTH * _IDST_HEIGHT) - 1); |
| dst_indirect_y[i].v += bout * (int)(_IDST_WIDTH * _IDST_HEIGHT); |
| }) |
| |
| const bool x_cond = PARTIAL_N0 != 0 && get_global_id(0) == 0; |
| |
| // 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, dst_stride_y, x_cond, c, dst_indirect_y); |
| |
| #undef _IWEI_WIDTH |
| #undef _IWEI_HEIGHT |
| #undef _ISRC_CHANNELS |
| #undef _IDST_WIDTH |
| #undef _IDST_HEIGHT |
| #undef _IY_MULTIPLIER |
| } |
| #endif // defined(INDIRECT_CONVOLUTION_NHWC) |