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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.cs266
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diff --git a/src/core/GLES_COMPUTE/cs_shaders/batchnormalization_layer.cs b/src/core/GLES_COMPUTE/cs_shaders/batchnormalization_layer.cs
deleted file mode 100644
index 81be9679b2..0000000000
--- a/src/core/GLES_COMPUTE/cs_shaders/batchnormalization_layer.cs
+++ /dev/null
@@ -1,266 +0,0 @@
-/*
- * Copyright (c) 2017-2018 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_cs.h"
-
-#if 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)
-
-#if defined(LU_BRELU)
-#define ACTIVATION_FUNC(x) min(max(x, float(B_VAL)), float(A_VAL))
-#elif defined(BRELU)
-#define ACTIVATION_FUNC(x) min(max(x, float(0)), float(A_VAL))
-#elif defined(RELU)
-#define ACTIVATION_FUNC(x) max(x, float(0))
-#else /* defined(FUSED_ACT) */
-#define ACTIVATION_FUNC(x) (x)
-#endif /* defined(FUSED_ACT) */
-
-/** Apply batch normalization.
- *
- * @note The data type must be passed at compile time using "#define DATA_TYPE_NAME". e.g. "#define DATA_TYPE_FP32"
- * @note Epsilon parameter in the batch normalization equation should be given as a preprocessor argument using "#define EPSILON". e.g. "#define EPSILON 0.1"
- * @note Beta is optional with default value of 0. If not provided, the preprocessor argument "USE_DEFAULT_BETA" should be given
- * @note Gamma is optional with default value of 1. If not provided, the preprocessor argument "USE_DEFAULT_GAMMA" should be given
- *
- * @param[in] src_ptr Pointer to the first source tensor. Supported data types: F16/F32
- * @param[in] src_attrs The attributes of the source tensor
- * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr
- * @param[in] dst_attrs The attributes of the destination tensor
- * @param[in] mean_ptr Pointer to the mean source tensor. Supported data types: same as @p src_ptr
- * @param[in] mean_attrs The attributes of the mean tensor
- * @param[in] var_ptr Pointer to the var tensor. Supported data types: same as @p src_ptr
- * @param[in] var_attrs The attributes of the var tensor
- * @param[in] beta_ptr (Optional) Pointer to the beta source tensor. If not provided, default value of beta is 0. Supported data types: same as @p src_ptr
- * @param[in] beta_attrs (Optional) The attributes of the beta tensor
- * @param[in] gamma_ptr (Optional) Pointer to the gamma source tensor. If not provided, default value of gamma is 1. Supported data types: same as @p src_ptr
- * @param[in] gamma_attrs (Optional) The attributes of the gamma tensor
- */
-SHADER_PARAMS_DECLARATION
-{
- Tensor3DAttributes src_attrs;
- Tensor3DAttributes dst_attrs;
- VectorAttributes mean_attrs;
- VectorAttributes var_attrs;
-#ifndef USE_DEFAULT_BETA
- VectorAttributes beta_attrs;
-#endif /* USE_DEFAULT_BETA */
-#ifndef USE_DEFAULT_GAMMA
- VectorAttributes gamma_attrs;
-#endif /* USE_DEFAULT_GAMMA */
-};
-
-#ifdef DATA_TYPE_FP32
-TENSOR_DECLARATION(1, srcBuffer, float, src_ptr, src_shift, 2, readonly);
-TENSOR_DECLARATION(2, dstBuffer, float, dst_ptr, dst_shift, 2, writeonly);
-TENSOR_DECLARATION(3, meanBuffer, float, mean_ptr, mean_shift, 2, readonly);
-TENSOR_DECLARATION(4, varBuffer, float, var_ptr, var_shift, 2, readonly);
-#ifndef USE_DEFAULT_BETA
-TENSOR_DECLARATION(5, betaBuffer, float, beta_ptr, beta_shift, 2, readonly);
-#endif /* USE_DEFAULT_BETA */
-#ifndef USE_DEFAULT_GAMMA
-#ifdef USE_DEFAULT_BETA
-TENSOR_DECLARATION(5, gammaBuffer, float, gamma_ptr, gamma_shift, 2, readonly);
-#else /* USE_DEFAULT_BETA */
-TENSOR_DECLARATION(6, gammaBuffer, float, gamma_ptr, gamma_shift, 2, readonly);
-#endif /* USE_DEFAULT_BETA */
-#endif /* USE_DEFAULT_GAMMA */
-
-void main(void)
-{
- Tensor3DIterator src_iter = CONVERT_TO_TENSOR3D_ITERATOR(src_attrs, src_shift);
- Tensor3DIterator dst_iter = CONVERT_TO_TENSOR3D_ITERATOR(dst_attrs, dst_shift);
- VectorIterator mean_iter = CONVERT_TO_VECTOR_ITERATOR(mean_attrs, mean_shift);
- VectorIterator var_iter = CONVERT_TO_VECTOR_ITERATOR(var_attrs, var_shift);
-#ifndef USE_DEFAULT_BETA
- VectorIterator beta_iter = CONVERT_TO_VECTOR_ITERATOR(beta_attrs, beta_shift);
-#endif /* USE_DEFAULT_BETA */
-#ifndef USE_DEFAULT_GAMMA
- VectorIterator gamma_iter = CONVERT_TO_VECTOR_ITERATOR(gamma_attrs, gamma_shift);
-#endif /* USE_DEFAULT_GAMMA */
-
- float input_value = 0.f;
- float denominator = 0.f;
- float numerator = 0.f;
- float x_bar = 0.f;
-
- uint current_slice = gl_GlobalInvocationID.z;
-
- input_value = LOAD_CURRENT_ITEM(src_ptr, src_iter);
- denominator = LOAD(var_ptr, TENSOR_OFFSET_ADVANCE_IN_BYTES(var_iter, current_slice * var_attrs.stride_x));
- denominator = INVSQRT_OP(ADD_OP(denominator, SQCVT_SAT(float(ESPILON))));
-
- // Calculate x bar and store results
- numerator = LOAD(mean_ptr, TENSOR_OFFSET_ADVANCE_IN_BYTES(mean_iter, current_slice * mean_attrs.stride_x));
- numerator = SUB_OP(input_value, numerator);
- x_bar = MUL_OP(numerator, denominator);
-
-#ifndef USE_DEFAULT_GAMMA
- float gamma_param = LOAD(gamma_ptr, TENSOR_OFFSET_ADVANCE_IN_BYTES(gamma_iter, current_slice * gamma_attrs.stride_x));
-
- x_bar = MUL_OP(gamma_param, x_bar);
-#endif /* USE_DEFAULT_GAMMA */
-#ifndef USE_DEFAULT_BETA
- float beta_param = LOAD(beta_ptr, TENSOR_OFFSET_ADVANCE_IN_BYTES(beta_iter, current_slice * beta_attrs.stride_x));
-
- x_bar = ADD_OP(x_bar, beta_param);
-#endif /* USE_DEFAULT_BETA */
-
- STORE_CURRENT_ITEM(dst_ptr, dst_iter, ACTIVATION_FUNC(x_bar));
-}
-
-#elif defined(DATA_TYPE_FP16)
-TENSOR_DECLARATION(1, srcBuffer, uvec2, src_ptr, src_shift, 3, readonly);
-TENSOR_DECLARATION(2, dstBuffer, uvec2, dst_ptr, dst_shift, 3, writeonly);
-TENSOR_DECLARATION(3, meanBuffer, uvec2, mean_ptr, mean_shift, 3, readonly);
-TENSOR_DECLARATION(4, varBuffer, uvec2, var_ptr, var_shift, 3, readonly);
-#ifndef USE_DEFAULT_BETA
-TENSOR_DECLARATION(5, betaBuffer, uvec2, beta_ptr, beta_shift, 3, readonly);
-#endif /* USE_DEFAULT_BETA */
-#ifndef USE_DEFAULT_GAMMA
-#ifdef USE_DEFAULT_BETA
-TENSOR_DECLARATION(5, gammaBuffer, uvec2, gamma_ptr, gamma_shift, 3, readonly);
-#else /* USE_DEFAULT_BETA */
-TENSOR_DECLARATION(6, gammaBuffer, uvec2, gamma_ptr, gamma_shift, 3, readonly);
-#endif /* USE_DEFAULT_BETA */
-#endif /* USE_DEFAULT_GAMMA */
-
-void main(void)
-{
- Tensor3DIterator src_iter = CONVERT_TO_TENSOR3D_ITERATOR(src_attrs, src_shift);
- Tensor3DIterator dst_iter = CONVERT_TO_TENSOR3D_ITERATOR(dst_attrs, dst_shift);
- VectorIterator mean_iter = CONVERT_TO_VECTOR_ITERATOR(mean_attrs, mean_shift);
- VectorIterator var_iter = CONVERT_TO_VECTOR_ITERATOR(var_attrs, var_shift);
-#ifndef USE_DEFAULT_BETA
- VectorIterator beta_iter = CONVERT_TO_VECTOR_ITERATOR(beta_attrs, beta_shift);
-#endif /* USE_DEFAULT_BETA */
-#ifndef USE_DEFAULT_GAMMA
- VectorIterator gamma_iter = CONVERT_TO_VECTOR_ITERATOR(gamma_attrs, gamma_shift);
-#endif /* USE_DEFAULT_GAMMA */
-
- vec4 unpacked_s[5];
- float denominator;
- float numerator;
- float gamma_param = 1.f;
- float beta_param = 0.f;
- vec4 x_bar;
- vec4 result;
-
- uint current_slice = gl_GlobalInvocationID.z;
- unpacked_s[0] = LOAD_UNPACK4_CURRENT_ITEM_HALF(src_ptr, src_iter);
- unpacked_s[1] = LOAD_UNPACK4_HALF(var_ptr, TENSOR_OFFSET_ADVANCE_IN_BYTES(var_iter, current_slice * var_attrs.stride_x));
- unpacked_s[2] = LOAD_UNPACK4_HALF(mean_ptr, TENSOR_OFFSET_ADVANCE_IN_BYTES(mean_iter, current_slice * mean_attrs.stride_x));
-#ifndef USE_DEFAULT_GAMMA
- unpacked_s[3] = LOAD_UNPACK4_HALF(gamma_ptr, TENSOR_OFFSET_ADVANCE_IN_BYTES(gamma_iter, current_slice * gamma_attrs.stride_x));
-#endif /* USE_DEFAULT_BETA */
-#ifndef USE_DEFAULT_BETA
- unpacked_s[4] = LOAD_UNPACK4_HALF(beta_ptr, TENSOR_OFFSET_ADVANCE_IN_BYTES(beta_iter, current_slice * beta_attrs.stride_x));
-#endif /* USE_DEFAULT_GAMMA */
-
- if((current_slice % uint(4)) == uint(0))
- {
- denominator = unpacked_s[1].x;
- denominator = INVSQRT_OP(ADD_OP(denominator, SQCVT_SAT(float(ESPILON))));
-
- // Calculate x bar
- numerator = unpacked_s[2].x;
- x_bar = MUL_OP(SUB_OP(unpacked_s[0], numerator), denominator);
-
-#ifndef USE_DEFAULT_GAMMA
- gamma_param = unpacked_s[3].x;
-#endif /* USE_DEFAULT_GAMMA */
-#ifndef USE_DEFAULT_BETA
- beta_param = unpacked_s[4].x;
-#endif /* USE_DEFAULT_BETA */
- }
- else if((current_slice % uint(4)) == uint(1))
- {
- denominator = unpacked_s[1].y;
- denominator = INVSQRT_OP(ADD_OP(denominator, SQCVT_SAT(float(ESPILON))));
-
- // Calculate x bar
- numerator = unpacked_s[2].y;
- x_bar = MUL_OP(SUB_OP(unpacked_s[0], numerator), denominator);
-
-#ifndef USE_DEFAULT_GAMMA
- gamma_param = unpacked_s[3].y;
-#endif /* USE_DEFAULT_GAMMA */
-#ifndef USE_DEFAULT_BETA
- beta_param = unpacked_s[4].y;
-#endif /* USE_DEFAULT_BETA */
- }
- else if((current_slice % uint(4)) == uint(2))
- {
- denominator = unpacked_s[1].z;
- denominator = INVSQRT_OP(ADD_OP(denominator, SQCVT_SAT(float(ESPILON))));
-
- // Calculate x bar
- numerator = unpacked_s[2].z;
- x_bar = MUL_OP(SUB_OP(unpacked_s[0], numerator), denominator);
-
-#ifndef USE_DEFAULT_GAMMA
- gamma_param = unpacked_s[3].z;
-#endif /* USE_DEFAULT_GAMMA */
-#ifndef USE_DEFAULT_BETA
- beta_param = unpacked_s[4].z;
-#endif /* USE_DEFAULT_BETA */
- }
- else
- {
- denominator = unpacked_s[1].w;
- denominator = INVSQRT_OP(ADD_OP(denominator, SQCVT_SAT(float(ESPILON))));
-
- // Calculate x bar
- numerator = unpacked_s[2].w;
- x_bar = MUL_OP(SUB_OP(unpacked_s[0], numerator), denominator);
-
-#ifndef USE_DEFAULT_GAMMA
- gamma_param = unpacked_s[3].w;
-#endif /* USE_DEFAULT_GAMMA */
-#ifndef USE_DEFAULT_BETA
- beta_param = unpacked_s[4].w;
-#endif /* USE_DEFAULT_BETA */
- }
-
-#ifndef USE_DEFAULT_GAMMA
- x_bar = MUL_OP(gamma_param, x_bar);
-#endif /* USE_DEFAULT_GAMMA */
-#ifndef USE_DEFAULT_BETA
- x_bar = ADD_OP(x_bar, beta_param);
-#endif /* USE_DEFAULT_BETA */
-
- result = ACTIVATION_FUNC(x_bar);
-
- STORE_PACK4_CURRENT_ITEM_HALF(dst_ptr, dst_iter, result);
-}
-#endif /*DATA_TYPE_FP16*/