1 files changed, 111 insertions, 0 deletions
diff --git a/tests/validation/reference/FuseBatchNormalization.cpp b/tests/validation/reference/FuseBatchNormalization.cpp
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+++ b/tests/validation/reference/FuseBatchNormalization.cpp
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+/*
+ * 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 "FuseBatchNormalization.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+void fuse_batch_normalization_dwc_layer(const SimpleTensor<T> &w, const SimpleTensor<T> &mean, const SimpleTensor<T> &var, SimpleTensor<T> &w_fused, SimpleTensor<T> &b_fused, const SimpleTensor<T> &b,
+                                        const SimpleTensor<T> &beta, const SimpleTensor<T> &gamma, float epsilon)
+{
+    const auto *w_data = w.data();
+    const auto *b_data = b.data();
+
+    auto *w_fused_data = w_fused.data();
+    auto *b_fused_data = b_fused.data();
+
+    const unsigned int width  = w.shape()[0];
+    const unsigned int height = w.shape()[1];
+    const unsigned int dim2   = w.shape()[2];
+
+    for(unsigned int b = 0; b < dim2; ++b)
+    {
+        const auto mean_val  = mean.data()[b];
+        const auto var_val   = var.data()[b];
+        const auto beta_val  = beta.data()[b];
+        const auto gamma_val = gamma.data()[b];
+
+        for(unsigned int i = 0; i < width * height; ++i)
+        {
+            unsigned int index = i + b * width * height;
+
+            w_fused_data[index] = (gamma_val * (w_data[index])) / sqrt(var_val + epsilon);
+        }
+
+        b_fused_data[b] = (b_data[b] - mean_val) / sqrt(var_val + epsilon) * gamma_val + beta_val;
+    }
+}
+
+template <typename T>
+void fuse_batch_normalization_conv_layer(const SimpleTensor<T> &w, const SimpleTensor<T> &mean, const SimpleTensor<T> &var, SimpleTensor<T> &w_fused, SimpleTensor<T> &b_fused,
+                                         const SimpleTensor<T> &b,
+                                         const SimpleTensor<T> &beta, const SimpleTensor<T> &gamma, float epsilon)
+{
+    const auto *w_data = w.data();
+    const auto *b_data = b.data();
+
+    auto *w_fused_data = w_fused.data();
+    auto *b_fused_data = b_fused.data();
+
+    const unsigned int width  = w.shape()[0];
+    const unsigned int height = w.shape()[1];
+    const unsigned int dim2   = w.shape()[2];
+    const unsigned int dim3   = w.shape()[3];
+
+    for(unsigned int b = 0; b < dim3; ++b)
+    {
+        const auto mean_val  = mean.data()[b];
+        const auto var_val   = var.data()[b];
+        const auto beta_val  = beta.data()[b];
+        const auto gamma_val = gamma.data()[b];
+
+        for(unsigned int i = 0; i < width * height * dim2; ++i)
+        {
+            unsigned int index = i + b * width * height * dim2;
+
+            w_fused_data[index] = (gamma_val * (w_data[index])) / sqrt(var_val + epsilon);
+        }
+
+        b_fused_data[b] = (b_data[b] - mean_val) / sqrt(var_val + epsilon) * gamma_val + beta_val;
+    }
+}
+
+template void fuse_batch_normalization_dwc_layer(const SimpleTensor<float> &w, const SimpleTensor<float> &mean, const SimpleTensor<float> &var, SimpleTensor<float> &w_fused,
+                                                 SimpleTensor<float> &b_fused, const SimpleTensor<float> &b, const SimpleTensor<float> &beta, const SimpleTensor<float> &gamma, float epsilon);
+template void fuse_batch_normalization_dwc_layer(const SimpleTensor<half> &w, const SimpleTensor<half> &mean, const SimpleTensor<half> &var, SimpleTensor<half> &w_fused, SimpleTensor<half> &b_fused,
+                                                 const SimpleTensor<half> &b, const SimpleTensor<half> &beta, const SimpleTensor<half> &gamma, float epsilon);
+template void fuse_batch_normalization_conv_layer(const SimpleTensor<float> &w, const SimpleTensor<float> &mean, const SimpleTensor<float> &var, SimpleTensor<float> &w_fused,
+                                                  SimpleTensor<float> &b_fused, const SimpleTensor<float> &b, const SimpleTensor<float> &beta, const SimpleTensor<float> &gamma, float epsilon);
+template void fuse_batch_normalization_conv_layer(const SimpleTensor<half> &w, const SimpleTensor<half> &mean, const SimpleTensor<half> &var, SimpleTensor<half> &w_fused, SimpleTensor<half> &b_fused,
+                                                  const SimpleTensor<half> &b, const SimpleTensor<half> &beta, const SimpleTensor<half> &gamma, float epsilon);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute