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Diffstat (limited to 'src/core/GLES_COMPUTE/cs_shaders/batchnormalization_layer.cs')
-rw-r--r-- | src/core/GLES_COMPUTE/cs_shaders/batchnormalization_layer.cs | 222 |
1 files changed, 222 insertions, 0 deletions
diff --git a/src/core/GLES_COMPUTE/cs_shaders/batchnormalization_layer.cs b/src/core/GLES_COMPUTE/cs_shaders/batchnormalization_layer.cs new file mode 100644 index 0000000000..54880926cc --- /dev/null +++ b/src/core/GLES_COMPUTE/cs_shaders/batchnormalization_layer.cs @@ -0,0 +1,222 @@ +/* + * 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*/ |