COMPMID-631: Merge branches/gles_compute branch

Last commit:
commit b25c5f68042b0c81bf611d59a1bb8535e1c42497
Author: Xinghang Zhou <xinghang.zhou@arm.com>
Date:   Wed Oct 25 18:48:10 2017 +0800

    Synced validation's tolerances of GCSoftmax from cl side

Change-Id: Ibe72054205c1c8721845d679a31af7ed0a7c5cf6
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/93283
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>

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*/