| /* |
| * Copyright (c) 2017-2021 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 "helpers.h" |
| #include "repeat.h" |
| #include "tile_helpers.h" |
| |
| #if defined(POOL_AVG) || defined(POOL_L2) |
| #define POOL_OP(x, y) ((x) + (y)) |
| #else /* defined(POOL_AVG) || defined(POOL_L2) */ |
| #define POOL_OP(x, y) (fmax((x), (y))) |
| #endif /* defined(POOL_AVG) || defined(POOL_L2) */ |
| |
| #if defined(POOL_L2) |
| #define POW2_OP(x, vec_size) ((x) * (x)) |
| #else /* defined(POOL_L2) */ |
| #define POW2_OP(x, vec_size) (x) |
| #endif /* defined(POOL_L2) */ |
| |
| #define DIV_OP(x, y) (x * (1.f / y)) |
| #define SQRT_OP(x) sqrt((x)) |
| |
| #if defined(VEC_SIZE) && defined(VEC_SIZE_LEFTOVER) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(DST_CHANNELS) && defined(DST_HEIGHT) && defined(DST_BATCH_SIZE) && defined(ACC_DATA_TYPE) |
| |
| #if defined(POOL_SIZE_X) && defined(POOL_SIZE_Y) |
| /** Performs pooling layer of size equal to MxN. This OpenCL kernel can perform the following pooling types: |
| * -# max, -DPOOL_MAX must be passed at compile time |
| * -# average, -DPOOL_AVG must be passed at compile time. If padding has to be expluded, -DEXCLUDE_PADDING should be passed at compile time |
| * -# l2 normalisation, -DPOOL_L2 must be passed at compile time |
| * |
| * @note Datatype must be passed at compile type using -DDATA_TYPE e.g. -DDATA_TYPE=half. Supported data types are F32/F16 |
| * @note Accumulation data type must be passed at compile time using -DACC_DATA_TYPE e.g. -DACC_DATA_TYPE=float |
| * @note If -DFP_MIXED_PRECISION is passed at compile time, the kernel will use F32 for the partial result |
| * @note Pool size must be passed at compile time using -DPOOL_SIZE_X and -DPOOL_SIZE_Y. e.g. -DPOOL_SIZE_X=4, -DPOOL_SIZE_Y=4 |
| * @note Input tensor width and height must be passed at compile time using -DSRC_WIDTH and -DSRC_HEIGHT |
| * @note Output tensor height, channels and batch size must be passed at compile time using -DDST_HEIGHT, -DDST_CHANNELS and -DDST_BATCH_SIZE |
| * @note Pool strides must be passed at compile time using -DSTRIDE_X and -DSTRIDE_Y which are the steps of the window along the x and y directions |
| * @note Pool pads must be passed at compile time using -DPAD_X and -DPAD_Y |
| * @note Vector size must be passed at compile time using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16 |
| * @note Leftover vector size must be passed at compile time using -DVEC_SIZE_LEFTOVER. e.g. -DVEC_SIZE_LEFTOVER=3. It is defined as the remainder between the input's first dimension and VEC_SIZE |
| * @note The initial value for the pooling operation must be passed at compile time using -DINITIAL_VALUE e.g. -DINITIAL_VALUE=0 |
| * |
| * @param[in] input_ptr Pointer to the source tensor. Supported data types: F32/F16 |
| * @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_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] input_stride_w Stride of the source tensor in W dimension (in bytes) |
| * @param[in] input_step_w input_stride_w * number of elements along W 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: same as @p input_ptr |
| * @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_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] output_stride_w Stride of the destination tensor in W dimension (in bytes) |
| * @param[in] output_step_w output_stride_w * number of elements along W processed per workitem(in bytes) |
| * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| */ |
| __kernel void pooling_layer_MxN_nhwc( |
| TENSOR4D_DECLARATION(input), |
| TENSOR4D_DECLARATION(output)) |
| { |
| // Note: If C is not multiple of VEC_SIZE, we shift back of VEC_SIZE_LEFTOVER elements to compute the leftover elements for get_global_id(0) == 0 |
| // Note: If C is less than VEC_SIZE, VEC_SIZE should be SHRINKED to the closest smaller VEC_SIZE. This operation is performed on the host side |
| int idx_out_c = GET_SPATIAL_IDX(0, VEC_SIZE, VEC_SIZE_LEFTOVER); |
| int idx_out_w = GET_SPATIAL_IDX(1, 1, 0); |
| #if DST_BATCH_SIZE != 1 |
| // If batch size != 1, the batch size dimension is collapsed over the height dimension |
| int idx_out_h = GET_SPATIAL_IDX(2, 1, 0) % DST_HEIGHT; |
| int idx_out_n = GET_SPATIAL_IDX(2, 1, 0) / DST_HEIGHT; |
| #else //DST_BATCH_SIZE != 1 |
| int idx_out_h = GET_SPATIAL_IDX(2, 1, 0); |
| int idx_out_n = 0; |
| #endif // DST_BATCH_SIZE != 1 |
| |
| __global unsigned char *in_base_ptr = input_ptr + input_offset_first_element_in_bytes + idx_out_c * sizeof(DATA_TYPE) + idx_out_n * input_stride_w; |
| |
| __global unsigned char *out_base_ptr = output_ptr + output_offset_first_element_in_bytes + idx_out_c * sizeof(DATA_TYPE) + idx_out_w * output_stride_y + idx_out_h * output_stride_z + idx_out_n * |
| output_stride_w; |
| |
| VEC_DATA_TYPE(ACC_DATA_TYPE, VEC_SIZE) |
| res0 = INITIAL_VALUE; |
| |
| int idx_in_w = idx_out_w * STRIDE_X - PAD_X; |
| int idx_in_h = idx_out_h * STRIDE_Y - PAD_Y; |
| |
| int pool_x_s = max((int)0, -idx_in_w); |
| int pool_x_e = min((int)POOL_SIZE_X, (int)SRC_WIDTH - idx_in_w); |
| int pool_y_s = max((int)0, -idx_in_h); |
| int pool_y_e = min((int)POOL_SIZE_Y, (int)SRC_HEIGHT - idx_in_h); |
| |
| #if defined(EXCLUDE_PADDING) |
| int filter_size = (pool_y_e - pool_y_s) * (pool_x_e - pool_x_s); |
| #else // defined(EXCLUDE_PADDING) |
| int filter_size = POOL_SIZE_X * POOL_SIZE_Y; |
| #endif // defined(EXCLUDE_PADDING) |
| |
| #if POOL_SIZE_X == SRC_WIDTH && POOL_SIZE_Y == SRC_HEIGHT && PAD_X == 0 && PAD_Y == 0 |
| // Global pooling path |
| for(int y = 0; y < POOL_SIZE_Y; ++y) |
| { |
| #pragma unroll 8 |
| for(int x = 0; x < POOL_SIZE_X; ++x) |
| { |
| #else // POOL_SIZE_X == SRC_WIDTH && POOL_SIZE_Y == SRC_HEIGHT && PAD_X == 0 && PAD_Y == 0 |
| for(int y = pool_y_s; y < pool_y_e; ++y) |
| { |
| #pragma unroll 8 |
| for(int x = pool_x_s; x < pool_x_e; ++x) |
| { |
| #endif // POOL_SIZE_X == SRC_WIDTH && POOL_SIZE_Y == SRC_HEIGHT && PAD_X == 0 && PAD_Y == 0 |
| VEC_DATA_TYPE(ACC_DATA_TYPE, VEC_SIZE) |
| data0; |
| #if defined(FP_MIXED_PRECISION) |
| // In case of FP_MIXED_PRECISION, ACC_DATA_TYPE is != DATA_TYPE |
| data0 = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(in_base_ptr + (x + idx_in_w) * input_stride_y + (y + idx_in_h) * input_stride_z)), VEC_DATA_TYPE(ACC_DATA_TYPE, VEC_SIZE)); |
| #else // defined(FP_MIXED_PRECISION) |
| data0 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(in_base_ptr + (x + idx_in_w) * input_stride_y + (y + idx_in_h) * input_stride_z)); |
| #endif // defined(FP_MIXED_PRECISION) |
| |
| #if defined(POOL_L2) |
| // Raise to power of 2 for L2 Pooling |
| data0 *= data0; |
| #endif // defined(POOL_L2) |
| res0 = POOL_OP(res0, data0); |
| } |
| } |
| |
| #if defined(POOL_AVG) || defined(POOL_L2) |
| res0 /= (VEC_DATA_TYPE(ACC_DATA_TYPE, VEC_SIZE))filter_size; |
| #endif // defined(POOL_AVG) || defined(POOL_L2) |
| |
| #if defined(POOL_L2) |
| // Take square root of the result in L2 pooling |
| res0 = SQRT_OP(res0); |
| #endif // defined(POOL_L2) |
| |
| // Store result |
| #if defined(FP_MIXED_PRECISION) |
| VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| res_converted0 = CONVERT(res0, VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)); |
| STORE_VECTOR_SELECT(res_converted, DATA_TYPE, out_base_ptr, VEC_SIZE, VEC_SIZE_LEFTOVER, (VEC_SIZE_LEFTOVER != 0) && get_global_id(0) == 0); |
| #else // defined(FP_MIXED_PRECISION) |
| STORE_VECTOR_SELECT(res, DATA_TYPE, out_base_ptr, VEC_SIZE, VEC_SIZE_LEFTOVER, (VEC_SIZE_LEFTOVER != 0) && get_global_id(0) == 0); |
| #endif // defined(FP_MIXED_PRECISION) |
| } |
| #endif // defined(POOL_SIZE_X) && defined(POOL_SIZE_Y) |
| |
| #define SELECT_TYPE SELECT_VEC_DATA_TYPE(ACC_DATA_TYPE, VEC_SIZE) |
| |
| /** Performs pooling layer of size equal to 2. This OpenCL kernel can perform the following pooling types: |
| * -# max, -DPOOL_MAX must be passed at compile time |
| * -# max extracting the max index, -DPOOL_MAX and -DEXTRACT_MAX_INDEX must be passed at compile time |
| * -# average, -DPOOL_AVG must be passed at compile time. If padding has to be expluded, -DEXCLUDE_PADDING should be passed at compile time |
| * -# l2 normalisation, -DPOOL_L2 must be passed at compile time |
| * |
| * @note Datatype must be passed at compile type using -DDATA_TYPE e.g. -DDATA_TYPE=half. Supported data types are F32/F16 |
| * @note Accumulation data type must be passed at compile time using -DACC_DATA_TYPE e.g. -DACC_DATA_TYPE=float |
| * @note If -DFP_MIXED_PRECISION is passed at compile time, the kernel will use F32 for the partial result |
| * @note Input tensor width and height must be passed at compile time using -DSRC_WIDTH and -DSRC_HEIGHT |
| * @note Output tensor height, channels and batch size must be passed at compile time using -DDST_HEIGHT, -DDST_CHANNELS and -DDST_BATCH_SIZE |
| * @note Pool strides must be passed at compile time using -DSTRIDE_X and -DSTRIDE_Y which are the steps of the window along the x and y directions |
| * @note Pool pads must be passed at compile time using -DPAD_X and -DPAD_Y |
| * @note Vector size must be passed at compile time using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16 |
| * @note Leftover vector size must be passed at compile time using -DVEC_SIZE_LEFTOVER. e.g. -DVEC_SIZE_LEFTOVER=3. It is defined as the remainder between the input's first dimension and VEC_SIZE |
| * @note The initial value for the pooling operation must be passed at compile time using -DINITIAL_VALUE e.g. -DINITIAL_VALUE=0 |
| * |
| * @param[in] input_ptr Pointer to the source tensor. Supported data types: F32/F16 |
| * @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_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] input_stride_w Stride of the source tensor in W dimension (in bytes) |
| * @param[in] input_step_w input_stride_w * number of elements along W 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: same as @p input_ptr |
| * @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_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] output_stride_w Stride of the destination tensor in W dimension (in bytes) |
| * @param[in] output_step_w output_stride_w * number of elements along W processed per workitem(in bytes) |
| * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| * @param[in] indices_ptr (Optional) Pointer to the indices tensor. Supported data types: U32 |
| * @param[in] indices_stride_x (Optional) Stride of the indices tensor in X dimension (in bytes) |
| * @param[in] indices_step_x (Optional) indices_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] indices_stride_y (Optional) Stride of the indices tensor in Y dimension (in bytes) |
| * @param[in] indices_step_y (Optional) indices_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] indices_stride_z (Optional) Stride of the indices tensor in Z dimension (in bytes) |
| * @param[in] indices_step_z (Optional) indices_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] indices_stride_w (Optional) Stride of the indices tensor in W dimension (in bytes) |
| * @param[in] indices_step_w (Optional) indices_stride_w * number of elements along W processed per workitem(in bytes) |
| * @param[in] indices_offset_first_element_in_bytes (Optional) The offset of the first element in the indices tensor |
| */ |
| __kernel void pooling_layer_2x2_nhwc( |
| TENSOR4D_DECLARATION(input), |
| TENSOR4D_DECLARATION(output) |
| #if defined(EXTRACT_MAX_INDEX) && defined(POOL_MAX) |
| , |
| TENSOR4D_DECLARATION(indices) |
| #endif // defined(EXTRACT_MAX_INDEX) && defined(POOL_MAX) |
| ) |
| { |
| // Note: If C is not multiple of VEC_SIZE, we shift back of VEC_SIZE_LEFTOVER elements to compute the leftover elements for get_global_id(0) == 0 |
| // Note: If C is less than VEC_SIZE, VEC_SIZE should be SHRINKED to the closest smaller VEC_SIZE. This operation is performed on the host side |
| int idx_out_c = max((int)(get_global_id(0) * VEC_SIZE - (VEC_SIZE - VEC_SIZE_LEFTOVER) % VEC_SIZE), 0); |
| int idx_out_w = get_global_id(1); |
| #if DST_BATCH_SIZE != 1 |
| // If batch size != 1, the batch size dimension is collapsed over the height dimension |
| int idx_out_h = get_global_id(2) % DST_HEIGHT; |
| int idx_out_n = get_global_id(2) / DST_HEIGHT; |
| #else //SRC_BATCH_SIZE != 1 |
| int idx_out_h = get_global_id(2); |
| int idx_out_n = 0; |
| #endif // SRC_BATCH_SIZE != 1 |
| |
| int idx_in_w = idx_out_w * STRIDE_X - PAD_X; |
| int idx_in_h = idx_out_h * STRIDE_Y - PAD_Y; |
| |
| __global unsigned char *in_base_ptr = input_ptr + input_offset_first_element_in_bytes + idx_out_c * sizeof(DATA_TYPE) + idx_out_n * input_stride_w; |
| |
| __global unsigned char *out_base_ptr = output_ptr + output_offset_first_element_in_bytes + idx_out_c * sizeof(DATA_TYPE) + idx_out_w * output_stride_y + idx_out_h * output_stride_z + idx_out_n * |
| output_stride_w; |
| |
| int pool_x_s = max((int)0, -idx_in_w); |
| int pool_x_e = min((int)2, (int)SRC_WIDTH - idx_in_w); |
| int pool_y_s = max((int)0, -idx_in_h); |
| int pool_y_e = min((int)2, (int)SRC_HEIGHT - idx_in_h); |
| |
| int filter_size = (pool_x_e - pool_x_s) * (pool_y_e - pool_y_s); |
| |
| int x0 = pool_x_s + idx_in_w; |
| int y0 = pool_y_s + idx_in_h; |
| int x1 = pool_x_e - 1 + idx_in_w; |
| int y1 = pool_y_e - 1 + idx_in_h; |
| |
| REPEAT_VAR_INIT_TO_CONST(4, VEC_DATA_TYPE(ACC_DATA_TYPE, VEC_SIZE), data, 0); |
| |
| #if defined(FP_MIXED_PRECISION) |
| // In case of FP_MIXED_PRECISION, ACC_DATA_TYPE is != DATA_TYPE |
| data0 = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(in_base_ptr + x0 * input_stride_y + y0 * input_stride_z)), VEC_DATA_TYPE(ACC_DATA_TYPE, VEC_SIZE)); |
| data1 = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(in_base_ptr + x1 * input_stride_y + y0 * input_stride_z)), VEC_DATA_TYPE(ACC_DATA_TYPE, VEC_SIZE)); |
| data2 = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(in_base_ptr + x0 * input_stride_y + y1 * input_stride_z)), VEC_DATA_TYPE(ACC_DATA_TYPE, VEC_SIZE)); |
| data3 = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(in_base_ptr + x1 * input_stride_y + y1 * input_stride_z)), VEC_DATA_TYPE(ACC_DATA_TYPE, VEC_SIZE)); |
| #else // defined(FP_MIXED_PRECISION) |
| data0 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(in_base_ptr + x0 * input_stride_y + y0 * input_stride_z)); |
| data1 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(in_base_ptr + x1 * input_stride_y + y0 * input_stride_z)); |
| data2 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(in_base_ptr + x0 * input_stride_y + y1 * input_stride_z)); |
| data3 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(in_base_ptr + x1 * input_stride_y + y1 * input_stride_z)); |
| #endif // defined(FP_MIXED_PRECISION) |
| |
| #if !defined(POOL_MAX) |
| if(filter_size != 4) |
| { |
| SELECT_TYPE cond_w_s = (SELECT_TYPE)idx_in_w < (SELECT_TYPE)0; |
| SELECT_TYPE cond_w_e = (SELECT_TYPE)idx_in_w >= (SELECT_TYPE)(SRC_WIDTH - 1); |
| SELECT_TYPE cond_h_s = (SELECT_TYPE)idx_in_h < (SELECT_TYPE)0; |
| SELECT_TYPE cond_h_e = (SELECT_TYPE)idx_in_h >= (SELECT_TYPE)(SRC_HEIGHT - 1); |
| |
| // Make invalid the values loaded if the x or y coordinate was clamped (out-of-bound) |
| data0 = select(data0, (VEC_DATA_TYPE(ACC_DATA_TYPE, VEC_SIZE))INITIAL_VALUE, (SELECT_TYPE)(cond_w_s | cond_h_s)); |
| data1 = select(data1, (VEC_DATA_TYPE(ACC_DATA_TYPE, VEC_SIZE))INITIAL_VALUE, (SELECT_TYPE)(cond_w_e | cond_h_s)); |
| data2 = select(data2, (VEC_DATA_TYPE(ACC_DATA_TYPE, VEC_SIZE))INITIAL_VALUE, (SELECT_TYPE)(cond_w_s | cond_h_e)); |
| data3 = select(data3, (VEC_DATA_TYPE(ACC_DATA_TYPE, VEC_SIZE))INITIAL_VALUE, (SELECT_TYPE)(cond_w_e | cond_h_e)); |
| } |
| #endif // !defined(POOL_MAX) |
| |
| #if defined(POOL_L2) |
| // Raise to power of 2 for L2 Pooling |
| data0 *= data0; |
| data1 *= data1; |
| data2 *= data2; |
| data3 *= data3; |
| #endif /* defined(POOL_L2) */ |
| |
| VEC_DATA_TYPE(ACC_DATA_TYPE, VEC_SIZE) |
| res0 = data0; |
| res0 = POOL_OP(res0, data1); |
| res0 = POOL_OP(res0, data2); |
| res0 = POOL_OP(res0, data3); |
| |
| #if defined(POOL_AVG) || defined(POOL_L2) |
| #if defined(EXCLUDE_PADDING) |
| res0 /= (VEC_DATA_TYPE(ACC_DATA_TYPE, VEC_SIZE))filter_size; |
| #else // !defined(EXCLUDE_PADDING) |
| res0 /= (VEC_DATA_TYPE(ACC_DATA_TYPE, VEC_SIZE))4; |
| #endif // defined(EXCLUDE_PADDING) |
| #endif // defined(POOL_AVG) || defined(POOL_L2) |
| |
| #if defined(POOL_L2) |
| // Take square root of the result in L2 pooling |
| res0 = SQRT_OP(res0); |
| #endif // defined(POOL_L2) |
| |
| // Store result |
| #if defined(FP_MIXED_PRECISION) |
| VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| res_converted0 = CONVERT(res0, VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)); |
| STORE_VECTOR_SELECT(res_converted, DATA_TYPE, out_base_ptr, VEC_SIZE, VEC_SIZE_LEFTOVER, (VEC_SIZE_LEFTOVER != 0) && get_global_id(0) == 0); |
| #else // defined(FP_MIXED_PRECISION) |
| STORE_VECTOR_SELECT(res, DATA_TYPE, out_base_ptr, VEC_SIZE, VEC_SIZE_LEFTOVER, (VEC_SIZE_LEFTOVER != 0) && get_global_id(0) == 0); |
| #endif // defined(FP_MIXED_PRECISION) |
| |
| #if defined(EXTRACT_MAX_INDEX) && defined(POOL_MAX) |
| |
| // This part is used to return the index of the maximum value |
| // Note: DST_CHANNELS and DST_BATCH_SIZE can be used for either the input and output tensor |
| |
| // note: Batch dimension does not contribute in the offset contribution |
| VEC_DATA_TYPE(uint, VEC_SIZE) |
| base_index = (uint)idx_out_c; |
| |
| base_index += VEC_OFFS(uint, VEC_SIZE); |
| |
| VEC_DATA_TYPE(uint, VEC_SIZE) |
| index0 = base_index + (uint)x0 * DST_CHANNELS + (uint)y0 * (DST_CHANNELS * SRC_WIDTH); |
| VEC_DATA_TYPE(uint, VEC_SIZE) |
| index1 = base_index + (uint)x1 * DST_CHANNELS + (uint)y0 * (DST_CHANNELS * SRC_WIDTH); |
| VEC_DATA_TYPE(uint, VEC_SIZE) |
| index2 = base_index + (uint)x0 * DST_CHANNELS + (uint)y1 * (DST_CHANNELS * SRC_WIDTH); |
| VEC_DATA_TYPE(uint, VEC_SIZE) |
| index3 = base_index + (uint)x1 * DST_CHANNELS + (uint)y1 * (DST_CHANNELS * SRC_WIDTH); |
| |
| index0 = select(index1, index0, CONVERT(isgreaterequal(data0, data1), VEC_DATA_TYPE(int, VEC_SIZE))); |
| index1 = select(index3, index2, CONVERT(isgreaterequal(data2, data3), VEC_DATA_TYPE(int, VEC_SIZE))); |
| index0 = select(index1, index0, CONVERT(isgreaterequal(max(data0, data1), max(data2, data3)), VEC_DATA_TYPE(int, VEC_SIZE))); |
| |
| __global unsigned char *idx_base_ptr = indices_ptr + indices_offset_first_element_in_bytes + idx_out_c * sizeof(uint) + idx_out_w * indices_stride_y + idx_out_h * indices_stride_z + idx_out_n * |
| indices_stride_w; |
| |
| // Store result |
| STORE_VECTOR_SELECT(index, uint, idx_base_ptr, VEC_SIZE, VEC_SIZE_LEFTOVER, ((VEC_SIZE_LEFTOVER != 0) && get_global_id(0) == 0)); |
| #endif // defined(EXTRACT_MAX_INDEX) && defined(POOL_MAX) |
| } |
| #endif // defined(VEC_SIZE) && defined(VEC_SIZE_LEFTOVER) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(DST_CHANNELS) && defined(DST_HEIGHT) && defined(DST_BATCH_SIZE) && defined(ACC_DATA_TYPE) |