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Diffstat (limited to 'src/core/CL/cl_kernels/nhwc/pooling_layer_quantized.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/nhwc/pooling_layer_quantized.cl | 164 |
1 files changed, 164 insertions, 0 deletions
diff --git a/src/core/CL/cl_kernels/nhwc/pooling_layer_quantized.cl b/src/core/CL/cl_kernels/nhwc/pooling_layer_quantized.cl new file mode 100644 index 0000000000..46268a4a88 --- /dev/null +++ b/src/core/CL/cl_kernels/nhwc/pooling_layer_quantized.cl @@ -0,0 +1,164 @@ +/* + * 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" + +#if defined(DATA_TYPE) && defined(INITIAL_VALUE) +#define VEC_TYPE(VEC_SIZE) VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) + +#if defined(OFFSET_IN1) && defined(OFFSET_OUT) && defined(SCALE_IN1) && defined(SCALE_OUT) +#define VEC_FLOAT(VEC_SIZE) VEC_DATA_TYPE(float, VEC_SIZE) +#define VEC_INT(VEC_SIZE) VEC_DATA_TYPE(int, VEC_SIZE) +#define CONVERT_RTE(x, type) (convert_##type##_rte((x))) +#define CONVERT_DOWN(x, type) CONVERT_RTE(x, type) +#define REQUANTIZE(VEC_SIZE, input, in_offset, out_offset, in_scale, out_scale, res) \ + { \ + const VEC_FLOAT(VEC_SIZE) in_f32 = (CONVERT(input, VEC_FLOAT(VEC_SIZE)) - (VEC_FLOAT(VEC_SIZE))((float)in_offset)) * (VEC_FLOAT(VEC_SIZE))((float)in_scale); \ + const VEC_FLOAT(VEC_SIZE) out_f32 = in_f32 / ((VEC_FLOAT(VEC_SIZE))(float)out_scale) + ((VEC_FLOAT(VEC_SIZE))((float)out_offset)); \ + res = CONVERT_SAT(CONVERT_DOWN(out_f32, VEC_INT(VEC_SIZE)), VEC_TYPE(VEC_SIZE)); \ + } +#endif /* defined(OFFSET_IN1) && defined(OFFSET_OUT) && defined(SCALE_IN1) && defined(SCALE_OUT) */ + +#if defined(POOL_AVG) +#define POOL_OP(x, y) ((x) + (y)) +#else /* defined(POOL_AVG) */ +#define POOL_OP(x, y) (max((x), (y))) +#endif /* defined(POOL_AVG) */ + +#define DIV_OP(x, y) (x * (1.f / y)) + +#if defined(POOL_L2) +#error "L2 pooling is not supported" +#endif /* defined(POOL_L2) */ + +#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) +/** 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 + * + * @note Datatype must be passed at compile type using -DDATA_TYPE e.g. -DDATA_TYPE=uchar. Supported data types are QASYMM8/QASYMM8_SIGNED + * @note Accumulation data type must be passed at compile time using -DACC_DATA_TYPE e.g. -DACC_DATA_TYPE=int + * @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 + * @note If the output has be requantized, -DOFFSET_IN1, -DOFFSET_OUT, -DSCALE_IN1 and -DSCALE_OUT muste be passed at compile time + * + * @param[in] input_ptr Pointer to the source image. Supported data types: QASYMM8/QASYMM8_SIGNED + * @param[in] input_stride_x Stride of the source image 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 image 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 image + * @param[out] output_ptr Pointer to the destination image. 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 image + */ +__kernel void pooling_layer_MxN_quantized_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 offset_c = max((int)(get_global_id(0) * VEC_SIZE - (VEC_SIZE - VEC_SIZE_LEFTOVER) % VEC_SIZE), 0) * sizeof(DATA_TYPE); + 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 //DST_BATCH_SIZE != 1 + int idx_out_h = get_global_id(2); + int idx_out_n = 0; +#endif // DST_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 + offset_c + idx_out_n * input_stride_w; + + __global unsigned char *out_base_ptr = output_ptr + output_offset_first_element_in_bytes + offset_c + 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)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(POOL_AVG) && defined(EXCLUDE_PADDING) + int filter_size = 0; +#elif defined(POOL_AVG) && !defined(EXCLUDE_PADDING) // defined(POOL_AVG) && defined(EXCLUDE_PADDING) + int filter_size = POOL_SIZE_X * POOL_SIZE_Y; +#endif // defined(POOL_AVG) && !defined(EXCLUDE_PADDING) + + VEC_DATA_TYPE(ACC_DATA_TYPE, VEC_SIZE) + res0 = INITIAL_VALUE; + + for(int y = pool_y_s; y < pool_y_e; ++y) + { + for(int x = pool_x_s; x < pool_x_e; ++x) + { + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) + data; + VEC_DATA_TYPE(ACC_DATA_TYPE, VEC_SIZE) + data0; + + data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(in_base_ptr + (x + idx_in_w) * input_stride_y + (y + idx_in_h) * input_stride_z)); + data0 = CONVERT(data, VEC_DATA_TYPE(ACC_DATA_TYPE, VEC_SIZE)); + + res0 = POOL_OP(res0, data0); + +#if defined(POOL_AVG) && defined(EXCLUDE_PADDING) + filter_size++; +#endif // defined(POOL_AVG) && defined(EXCLUDE_PADDING) + } + } + +#if defined(POOL_AVG) + res0 = (res0 + (VEC_DATA_TYPE(ACC_DATA_TYPE, VEC_SIZE))(filter_size >> 1)) / filter_size; +#endif // defined(POOL_AVG) + + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) + out_q0 = CONVERT(res0, VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)); +#if defined(OFFSET_IN1) && defined(OFFSET_OUT) && defined(SCALE_IN1) && defined(SCALE_OUT) + REQUANTIZE(VEC_SIZE, out_q0, OFFSET_IN1, OFFSET_OUT, SCALE_IN1, SCALE_OUT, out_q0); +#endif /* defined(OFFSET_IN1) && defined(OFFSET_OUT) && defined(SCALE_IN1) && defined(SCALE_OUT) */ + + // Store result + STORE_VECTOR_SELECT(out_q, DATA_TYPE, out_base_ptr, VEC_SIZE, VEC_SIZE_LEFTOVER, ((VEC_SIZE_LEFTOVER != 0) && get_global_id(0) == 0)); +} +#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) +#endif // defined(DATA_TYPE) && defined(INITIAL_VALUE)
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