| /* |
| * 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. |
| */ |
| |
| layout(local_size_x = LOCAL_SIZE_X, local_size_y = LOCAL_SIZE_Y, local_size_z = LOCAL_SIZE_Z) in; |
| |
| #include "helpers.h" |
| |
| #ifdef DATA_TYPE_FP32 |
| precision highp float; |
| #elif defined(DATA_TYPE_FP16) |
| precision mediump float; |
| #endif /*DATA_TYPE_FP32*/ |
| |
| #define ADD_OP(a, b) ((a) + (b)) |
| #define SUB_OP(a, b) ((a) - (b)) |
| #define MUL_OP(a, b) ((a) * (b)) |
| #define INVSQRT_OP(a) inversesqrt((a)) |
| #define SQCVT_SAT(a) (a) |
| |
| layout(std140) uniform shader_params |
| { |
| TENSOR3D_PARAM_DECLARATION(src); |
| TENSOR3D_PARAM_DECLARATION(dst); |
| VECTOR_PARAM_DECLARATION(mean); |
| VECTOR_PARAM_DECLARATION(var); |
| VECTOR_PARAM_DECLARATION(beta); |
| VECTOR_PARAM_DECLARATION(gamma); |
| }; |
| |
| #ifdef DATA_TYPE_FP32 |
| BUFFER_DECLARATION(src, 1, float, readonly); |
| BUFFER_DECLARATION(dst, 2, float, writeonly); |
| BUFFER_DECLARATION(mean, 3, float, readonly); |
| BUFFER_DECLARATION(var, 4, float, readonly); |
| BUFFER_DECLARATION(beta, 5, float, readonly); |
| BUFFER_DECLARATION(gamma, 6, float, readonly); |
| |
| /** Apply batch normalization. |
| * |
| * @note Epsilon parameter in the batch normalization equation should be given as a preprocessor argument using "#define EPSILON". e.g. "#define EPSILON 0.1" |
| * |
| * @param[in] src_ptr Pointer to the first source tensor. Supported data types: F32 |
| * @param[in] src_stride_x Stride of the first source tensor in X dimension (in bytes) |
| * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the first source tensor in Y dimension (in bytes) |
| * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src_stride_z Stride of the first source tensor in Z dimension (in bytes) |
| * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the first source tensor |
| * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_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: same as @p src_ptr |
| * @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: same as @p src_ptr |
| * @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: same as @p src_ptr |
| * @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: same as @p src_ptr |
| * @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 |
| */ |
| void main(void) |
| { |
| Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); |
| Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst); |
| 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); |
| |
| float input_value = 0.f; |
| float denominator = 0.f; |
| float numerator = 0.f; |
| float x_bar = 0.f; |
| float gamma_param = 0.f; |
| float beta_param = 0.f; |
| |
| uint current_slice = gl_GlobalInvocationID.z; |
| |
| input_value = src_ptr[src.current_offset]; |
| denominator = var_ptr[var.current_offset + (current_slice * var.stride_x) >> 2]; |
| denominator = INVSQRT_OP(ADD_OP(denominator, SQCVT_SAT(float(ESPILON)))); |
| |
| // Calculate x bar and store results |
| numerator = mean_ptr[mean.current_offset + (current_slice * mean.stride_x) >> 2]; |
| numerator = SUB_OP(input_value, numerator); |
| x_bar = MUL_OP(numerator, denominator); |
| |
| gamma_param = gamma_ptr[gamma.current_offset + (current_slice * beta.stride_x) >> 2]; |
| beta_param = beta_ptr[beta.current_offset + (current_slice * beta.stride_x) >> 2]; |
| |
| dst_ptr[dst.current_offset] = ADD_OP(MUL_OP(gamma_param, x_bar), beta_param); |
| } |
| |
| #elif defined(DATA_TYPE_FP16) |
| BUFFER_DECLARATION(src, 1, uint, ); |
| BUFFER_DECLARATION(dst, 2, uint, writeonly); |
| BUFFER_DECLARATION(mean, 3, uint, ); |
| BUFFER_DECLARATION(var, 4, uint, ); |
| BUFFER_DECLARATION(beta, 5, uint, ); |
| BUFFER_DECLARATION(gamma, 6, uint, ); |
| |
| /** Apply batch normalization. |
| * |
| * @note Epsilon parameter in the batch normalization equation should be given as a preprocessor argument using "#define EPSILON". e.g. "#define EPSILON 0.1" |
| * |
| * @param[in] src_ptr Pointer to the first source tensor. Supported data types: F16 |
| * @param[in] src_stride_x Stride of the first source tensor in X dimension (in bytes) |
| * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the first source tensor in Y dimension (in bytes) |
| * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src_stride_z Stride of the first source tensor in Z dimension (in bytes) |
| * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the first source tensor |
| * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_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: same as @p src_ptr |
| * @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: same as @p src_ptr |
| * @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: same as @p src_ptr |
| * @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: same as @p src_ptr |
| * @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 |
| */ |
| void main(void) |
| { |
| Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT_FP16(src); |
| Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT_FP16(dst); |
| Vector mean = CONVERT_TO_VECTOR_STRUCT_FP16(mean); |
| Vector var = CONVERT_TO_VECTOR_STRUCT_FP16(var); |
| Vector beta = CONVERT_TO_VECTOR_STRUCT_FP16(beta); |
| Vector gamma = CONVERT_TO_VECTOR_STRUCT_FP16(gamma); |
| |
| vec2 input_value; |
| float denominator; |
| float numerator; |
| vec2 x_bar; |
| float gamma_param; |
| float beta_param; |
| |
| uint current_slice = gl_GlobalInvocationID.z; |
| if((current_slice % uint(2)) == uint(0)) |
| { |
| input_value = unpackHalf2x16(src_ptr[src.current_offset >> 2]); |
| denominator = unpackHalf2x16(var_ptr[(var.current_offset + current_slice * var.stride_x) >> 2]).x; |
| denominator = INVSQRT_OP(ADD_OP(denominator, SQCVT_SAT(float(ESPILON)))); |
| |
| //Calculate x bar and store results |
| numerator = unpackHalf2x16(mean_ptr[(mean.current_offset + current_slice * mean.stride_x) >> 2]).x; |
| x_bar = MUL_OP(SUB_OP(input_value, numerator), denominator); |
| |
| gamma_param = unpackHalf2x16(gamma_ptr[(gamma.current_offset + current_slice * beta.stride_x) >> 2]).x; |
| beta_param = unpackHalf2x16(beta_ptr[(beta.current_offset + current_slice * beta.stride_x) >> 2]).x; |
| |
| dst_ptr[dst.current_offset >> 2] = packHalf2x16(ADD_OP(MUL_OP(gamma_param, x_bar), beta_param)); |
| } |
| else |
| { |
| input_value = unpackHalf2x16(src_ptr[src.current_offset >> 2]); |
| denominator = unpackHalf2x16(var_ptr[(var.current_offset + current_slice * var.stride_x) >> 2]).y; |
| denominator = INVSQRT_OP(ADD_OP(denominator, SQCVT_SAT(float(ESPILON)))); |
| |
| //Calculate x bar and store results |
| numerator = unpackHalf2x16(mean_ptr[(mean.current_offset + current_slice * mean.stride_x) >> 2]).y; |
| x_bar = MUL_OP(SUB_OP(input_value, numerator), denominator); |
| |
| gamma_param = unpackHalf2x16(gamma_ptr[(gamma.current_offset + current_slice * beta.stride_x) >> 2]).y; |
| beta_param = unpackHalf2x16(beta_ptr[(beta.current_offset + current_slice * beta.stride_x) >> 2]).y; |
| |
| dst_ptr[dst.current_offset >> 2] = packHalf2x16(ADD_OP(MUL_OP(gamma_param, x_bar), beta_param)); |
| } |
| } |
| #endif /*DATA_TYPE_FP32*/ |