From 5b48ad7d43c3d1c2fdbae64beac3f37bc6697338 Mon Sep 17 00:00:00 2001 From: Michele Di Giorgio Date: Tue, 4 Jun 2019 18:43:35 +0100 Subject: COMPMID-2386: Add support for CLMeanStdNormalizationLayer Change-Id: I0323b2410b222fd08933da22de455e798a60a0b1 Signed-off-by: Michele Di Giorgio Reviewed-on: https://review.mlplatform.org/c/1297 Comments-Addressed: Arm Jenkins Reviewed-by: Gian Marco Iodice Tested-by: Arm Jenkins --- .../CL/cl_kernels/mean_stddev_normalization.cl | 124 +++++++++++++++++++++ 1 file changed, 124 insertions(+) create mode 100644 src/core/CL/cl_kernels/mean_stddev_normalization.cl (limited to 'src/core/CL/cl_kernels/mean_stddev_normalization.cl') diff --git a/src/core/CL/cl_kernels/mean_stddev_normalization.cl b/src/core/CL/cl_kernels/mean_stddev_normalization.cl new file mode 100644 index 0000000000..9667737c65 --- /dev/null +++ b/src/core/CL/cl_kernels/mean_stddev_normalization.cl @@ -0,0 +1,124 @@ +/* + * Copyright (c) 2019 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(VEC_SIZE) && defined(DATA_TYPE) && defined(EPSILON) && defined(WIDTH) +/** This function normalizes the input 2D tensor across the first dimension with respect to mean and standard deviation of the same dimension. + * + * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16 + * @attention Data type should be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float + * @attention Width of the input tensor should be passed using the -DWIDTH compile flag, e.g. -DWIDTH=16 + * @attention Normalization epsilon parameter should be given as a preprocessor argument with -DEPSILON=value. e.g. -DEPSILON=0.001f + * + * @param[in] input_ptr Pointer to the first source tensor. Supported data types: F16/F32 + * @param[in] input_stride_x Stride of the first 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 first 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_offset_first_element_in_bytes The offset of the first element in the first source tensor + * @param[out] output_ptr (Optional) Pointer to the destination tensor. Supported data types: same as @p input_ptr + * @param[in] output_stride_x (Optional) Stride of the destination tensor in X dimension (in bytes) + * @param[in] output_step_x (Optional) output_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] output_stride_y (Optional) Stride of the destination tensor in Y dimension (in bytes) + * @param[in] output_step_y (Optional) output_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] output_offset_first_element_in_bytes (Optional) The offset of the first element in the destination tensor + */ +__kernel void mean_stddev_normalization( + IMAGE_DECLARATION(input) +#ifndef IN_PLACE + , + IMAGE_DECLARATION(output) +#endif /* IN_PLACE */ +) +{ + // Get pixels pointer + Image in = CONVERT_TO_IMAGE_STRUCT(input); +#ifdef IN_PLACE + Image out = in; +#else /* IN_PLACE */ + Image out = CONVERT_TO_IMAGE_STRUCT(output); +#endif /* IN_PLACE */ + + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) + sum = 0.f; + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) + sum_sq = 0.f; + // Calculate partial sum + int i = 0; + for(; i <= (WIDTH - VEC_SIZE); i += VEC_SIZE) + { + // Load data + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) + data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)offset(&in, i, 0)); + + sum += data; + sum_sq += data * data; + } + // Perform reduction +#if VEC_SIZE > 8 + sum.s01234567 += sum.s89abcdef; + sum_sq.s01234567 += sum_sq.s89abcdef; +#endif // VEC_SIZE > 8 +#if VEC_SIZE > 4 + sum.s0123 += sum.s4567; + sum_sq.s0123 += sum_sq.s4567; +#endif // VEC_SIZE > 4 +#if VEC_SIZE > 2 + sum.s01 += sum.s23; + sum_sq.s01 += sum_sq.s23; +#endif // VEC_SIZE > 2 + sum.s0 += sum.s1; + sum_sq.s0 += sum_sq.s1; + // Left-overs loop + for(; i < WIDTH; ++i) + { + DATA_TYPE data = *((__global DATA_TYPE *)offset(&in, i, 0)); + + sum.s0 += data; + sum_sq.s0 += data * data; + } + + DATA_TYPE mean = sum.s0 / WIDTH; + DATA_TYPE var = (sum_sq.s0 / WIDTH) - (mean * mean); + DATA_TYPE stddev_inv = 1.f / sqrt(var + EPSILON); + + i = 0; + for(; i <= (WIDTH - VEC_SIZE); i += VEC_SIZE) + { + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) + data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)offset(&in, i, 0)); + + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) + res = (data - mean) * stddev_inv; + VSTORE(VEC_SIZE) + (res, 0, (__global DATA_TYPE *)offset(&out, i, 0)); + } + for(; i < WIDTH; ++i) + { + DATA_TYPE data = *((__global DATA_TYPE *)offset(&in, i, 0)); + + *((__global DATA_TYPE *)offset(&out, i, 0)) = (data - mean) * stddev_inv; + } +} +#endif /* defined(VEC_SIZE) && defined(DATA_TYPE) && defined(EPSILON) && defined(WIDTH) */ -- cgit v1.2.1