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-rw-r--r--tests/datasets/system_tests/mobilenet/MobileNetBatchNormalizationLayerDataset.h68
1 files changed, 68 insertions, 0 deletions
diff --git a/tests/datasets/system_tests/mobilenet/MobileNetBatchNormalizationLayerDataset.h b/tests/datasets/system_tests/mobilenet/MobileNetBatchNormalizationLayerDataset.h
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+/*
+ * 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.
+ */
+#ifndef ARM_COMPUTE_TEST_MOBILENET_BATCHNORMALIZATION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_MOBILENET_BATCHNORMALIZATION_LAYER_DATASET
+
+#include "tests/datasets/BatchNormalizationLayerDataset.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class MobileNetBatchNormalizationLayerDataset final : public BatchNormalizationLayerDataset
+{
+public:
+ MobileNetBatchNormalizationLayerDataset()
+ {
+ // conv1_bn, dwc0_bn
+ add_config(TensorShape(112U, 112U, 32U), TensorShape(32U), 0.001f);
+ // pwc0_bn
+ add_config(TensorShape(112U, 112U, 64U), TensorShape(64U), 0.001f);
+ // dwc1_bn
+ add_config(TensorShape(56U, 56U, 64U), TensorShape(64U), 0.001f);
+ // dwc2_bn, pwc1_bn, pwc2_bn
+ add_config(TensorShape(56U, 56U, 128U), TensorShape(128U), 0.001f);
+ // dwc3_bn
+ add_config(TensorShape(28U, 28U, 128U), TensorShape(128U), 0.001f);
+ // dwc4_bn, pwc3_bn, pwc4_bn
+ add_config(TensorShape(28U, 28U, 256U), TensorShape(256U), 0.001f);
+ // dwc5_bn
+ add_config(TensorShape(14U, 14U, 256U), TensorShape(256U), 0.001f);
+ // dwc6_bn, dwc7_bn, dwc8_bn, dwc9_bn, dwc10_bn, pwc5_bn, pwc6_bn, pwc7_bn, pwc8_bn, pwc9_bn, pwc10_bn
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(512U), 0.001f);
+ // dwc11_bn
+ add_config(TensorShape(7U, 7U, 512U), TensorShape(512U), 0.001f);
+ // dwc12_bn, pwc11_bn, pwc12_bn
+ add_config(TensorShape(7U, 7U, 1024U), TensorShape(1024U), 0.001f);
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_MOBILENET_BATCHNORMALIZATION_LAYER_DATASET */