From 6ff3b19ee6120edf015fad8caab2991faa3070af Mon Sep 17 00:00:00 2001 From: Anthony Barbier Date: Mon, 4 Sep 2017 18:44:23 +0100 Subject: COMPMID-344 Updated doxygen Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae --- src/core/CL/cl_kernels/batchnormalization_layer.cl | 99 ++++++++++++++++++++++ 1 file changed, 99 insertions(+) create mode 100644 src/core/CL/cl_kernels/batchnormalization_layer.cl (limited to 'src/core/CL/cl_kernels/batchnormalization_layer.cl') diff --git a/src/core/CL/cl_kernels/batchnormalization_layer.cl b/src/core/CL/cl_kernels/batchnormalization_layer.cl new file mode 100644 index 0000000000..13e6702334 --- /dev/null +++ b/src/core/CL/cl_kernels/batchnormalization_layer.cl @@ -0,0 +1,99 @@ +/* + * Copyright (c) 2017 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" + +/** Apply batch normalization. + * + * @param[in] input_ptr Pointer to the first source tensor. Supported data types: 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_stride_z Stride of the first 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_offset_first_element_in_bytes The offset of the first element in the first source tensor + * @param[out] output_ptr Pointer to the destination tensor. Supported data types: F32 + * @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_offset_first_element_in_bytes The offset of the first element in the destination tensor + * @param[in] mean_ptr Pointer to the mean source tensor. Supported data types: F32 + * @param[in] mean_stride_x Stride of the mean source tensor in X dimension (in bytes) + * @param[in] mean_step_x mean_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] mean_offset_first_element_in_bytes The offset of the first element in the mean source tensor + * @param[in] var_ptr Pointer to the var tensor. Supported data types: F32 + * @param[in] var_stride_x Stride of the var tensor in X dimension (in bytes) + * @param[in] var_step_x var_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] var_offset_first_element_in_bytes The offset of the first element in the var source tensor + * @param[in] beta_ptr Pointer to the beta source tensor. Supported data types: F32 + * @param[in] beta_stride_x Stride of the beta source tensor in X dimension (in bytes) + * @param[in] beta_step_x beta_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] beta_offset_first_element_in_bytes The offset of the first element in the beta source tensor + * @param[in] gamma_ptr Pointer to the gamma source tensor. Supported data types: F32 + * @param[in] gamma_stride_x Stride of the gamma source tensor in X dimension (in bytes) + * @param[in] gamma_step_x gamma_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] gamma_offset_first_element_in_bytes The offset of the first element in the gamma source tensor + * @param[in] epsilon Epsilon parameter in the batch normalization equation + */ +__kernel void batchnormalization_layer(TENSOR3D_DECLARATION(input), + TENSOR3D_DECLARATION(output), + VECTOR_DECLARATION(mean), + VECTOR_DECLARATION(var), + VECTOR_DECLARATION(beta), + VECTOR_DECLARATION(gamma), + float epsilon) +{ + Tensor3D in = CONVERT_TO_TENSOR3D_STRUCT(input); + Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(output); + Vector mean = CONVERT_TO_VECTOR_STRUCT(mean); + Vector var = CONVERT_TO_VECTOR_STRUCT(var); + Vector beta = CONVERT_TO_VECTOR_STRUCT(beta); + Vector gamma = CONVERT_TO_VECTOR_STRUCT(gamma); + + float4 _in = 0; + float4 denominator = 0; + float4 numerator = 0; + float4 x_bar = 0; + float4 gamma_vec = 0; + float4 beta_vec = 0; + + const int current_slice = get_global_id(2); + + _in = vload4(0, (__global float *)in.ptr); + denominator = *((__global float *)(var.ptr + current_slice * var.stride_x)); + denominator = rsqrt(denominator + epsilon); + + // Calculate x bar and store results + numerator = *((__global float *)(mean.ptr + current_slice * mean.stride_x)); + numerator = _in - numerator; + x_bar = numerator * denominator; + + gamma_vec = *((__global float *)(gamma.ptr + current_slice * beta.stride_x)); + beta_vec = *((__global float *)(beta.ptr + current_slice * beta.stride_x)); + + vstore4(gamma_vec * x_bar + beta_vec, 0, (__global float *)out.ptr); +} -- cgit v1.2.1