COMPMID-2386: Add support for CLMeanStdNormalizationLayer

Change-Id: I0323b2410b222fd08933da22de455e798a60a0b1
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1297
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 124 insertions, 0 deletions

diff --git a/src/core/CL/cl_kernels/mean_stddev_normalization.cl b/src/core/CL/cl_kernels/mean_stddev_normalization.cl
new file mode 100644
index 0000000000..9667737c65
--- /dev/null
+++ b/src/core/CL/cl_kernels/mean_stddev_normalization.cl
@@ -0,0 +1,124 @@
+/*
+ * Copyright (c) 2019 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"
+
+#if defined(VEC_SIZE) && defined(DATA_TYPE) && defined(EPSILON) && defined(WIDTH)
+/** This function normalizes the input 2D tensor across the first dimension with respect to mean and standard deviation of the same dimension.
+ *
+ * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16
+ * @attention Data type should be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float
+ * @attention Width of the input tensor should be passed using the -DWIDTH compile flag, e.g. -DWIDTH=16
+ * @attention Normalization epsilon parameter should be given as a preprocessor argument with -DEPSILON=value. e.g. -DEPSILON=0.001f
+ *
+ * @param[in]  input_ptr                            Pointer to the first source tensor. Supported data types: F16/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_offset_first_element_in_bytes  The offset of the first element in the first source tensor
+ * @param[out] output_ptr                           (Optional) Pointer to the destination tensor. Supported data types: same as @p input_ptr
+ * @param[in]  output_stride_x                      (Optional) Stride of the destination tensor in X dimension (in bytes)
+ * @param[in]  output_step_x                        (Optional) output_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in]  output_stride_y                      (Optional) Stride of the destination tensor in Y dimension (in bytes)
+ * @param[in]  output_step_y                        (Optional) output_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in]  output_offset_first_element_in_bytes (Optional) The offset of the first element in the destination tensor
+ */
+__kernel void mean_stddev_normalization(
+    IMAGE_DECLARATION(input)
+#ifndef IN_PLACE
+    ,
+    IMAGE_DECLARATION(output)
+#endif /* IN_PLACE */
+)
+{
+    // Get pixels pointer
+    Image in = CONVERT_TO_IMAGE_STRUCT(input);
+#ifdef IN_PLACE
+    Image out = in;
+#else  /* IN_PLACE */
+    Image out = CONVERT_TO_IMAGE_STRUCT(output);
+#endif /* IN_PLACE */
+
+    VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
+    sum = 0.f;
+    VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
+    sum_sq = 0.f;
+    // Calculate partial sum
+    int i = 0;
+    for(; i <= (WIDTH - VEC_SIZE); i += VEC_SIZE)
+    {
+        // Load data
+        VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
+        data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)offset(&in, i, 0));
+
+        sum += data;
+        sum_sq += data * data;
+    }
+    // Perform reduction
+#if VEC_SIZE > 8
+    sum.s01234567 += sum.s89abcdef;
+    sum_sq.s01234567 += sum_sq.s89abcdef;
+#endif // VEC_SIZE > 8
+#if VEC_SIZE > 4
+    sum.s0123 += sum.s4567;
+    sum_sq.s0123 += sum_sq.s4567;
+#endif // VEC_SIZE > 4
+#if VEC_SIZE > 2
+    sum.s01 += sum.s23;
+    sum_sq.s01 += sum_sq.s23;
+#endif // VEC_SIZE > 2
+    sum.s0 += sum.s1;
+    sum_sq.s0 += sum_sq.s1;
+    // Left-overs loop
+    for(; i < WIDTH; ++i)
+    {
+        DATA_TYPE data = *((__global DATA_TYPE *)offset(&in, i, 0));
+
+        sum.s0 += data;
+        sum_sq.s0 += data * data;
+    }
+
+    DATA_TYPE mean       = sum.s0 / WIDTH;
+    DATA_TYPE var        = (sum_sq.s0 / WIDTH) - (mean * mean);
+    DATA_TYPE stddev_inv = 1.f / sqrt(var + EPSILON);
+
+    i = 0;
+    for(; i <= (WIDTH - VEC_SIZE); i += VEC_SIZE)
+    {
+        VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
+        data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)offset(&in, i, 0));
+
+        VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
+        res = (data - mean) * stddev_inv;
+        VSTORE(VEC_SIZE)
+        (res, 0, (__global DATA_TYPE *)offset(&out, i, 0));
+    }
+    for(; i < WIDTH; ++i)
+    {
+        DATA_TYPE data = *((__global DATA_TYPE *)offset(&in, i, 0));
+
+        *((__global DATA_TYPE *)offset(&out, i, 0)) = (data - mean) * stddev_inv;
+    }
+}
+#endif /* defined(VEC_SIZE) && defined(DATA_TYPE) && defined(EPSILON) && defined(WIDTH) */