APPBROWSER-340: Implement NormalizePlanarYUV operator

Change-Id: I943fe27ed83e6c499d8f9919c7083f39f6f25acc
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/113211
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Stephen Li <stephen.li@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 94 insertions, 0 deletions

diff --git a/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4NormalizePlanarYUVLayerDataset.h b/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4NormalizePlanarYUVLayerDataset.h
new file mode 100644
index 0000000000..e0da484b7d
--- /dev/null
+++ b/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4NormalizePlanarYUVLayerDataset.h
@@ -0,0 +1,94 @@
+/*
+ * 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.
+ */
+#ifndef ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_NORMALIZEPLANARYUV_LAYER_DATASET
+#define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_NORMALIZEPLANARYUV_LAYER_DATASET
+
+#include "tests/datasets/NormalizePlanarYUVLayerDataset.h"
+
+#include "utils/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class GoogLeNetInceptionV4NormalizePlanarYUVLayerDataset final : public NormalizePlanarYUVLayerDataset
+{
+public:
+    GoogLeNetInceptionV4NormalizePlanarYUVLayerDataset()
+    {
+        // conv1_3x3_s2_bn
+        add_config(TensorShape(149U, 149U, 32U), TensorShape(32U));
+        // conv2_3x3_s1_bn
+        add_config(TensorShape(147U, 147U, 32U), TensorShape(32U));
+        // conv3_3x3_s1_bn
+        add_config(TensorShape(147U, 147U, 64U), TensorShape(64U));
+        // inception_stem1_3x3_s2_bn
+        add_config(TensorShape(73U, 73U, 96U), TensorShape(96U));
+        // inception_stem2_3x3_reduce_bn, inception_stem2_1x7_reduce_bn, inception_stem2_1x7_bn, inception_stem2_7x1_bn
+        add_config(TensorShape(73U, 73U, 64U), TensorShape(64U));
+        // inception_stem2_3x3_bn, inception_stem2_3x3_2_bn
+        add_config(TensorShape(71U, 71U, 96U), TensorShape(96U));
+        // inception_stem3_3x3_s2_bn, reduction_a_3x3_2_reduce_bn
+        add_config(TensorShape(35U, 35U, 192U), TensorShape(192U));
+        // inception_a1_1x1_2_bn, inception_a1_3x3_bn, inception_a1_3x3_2_bn, inception_a1_3x3_3_bn, inception_a1_1x1_bn, inception_a2_1x1_2_bn, inception_a2_3x3_bn, inception_a2_3x3_2_bn, inception_a2_3x3_3_bn, inception_a2_1x1_bn, inception_a3_1x1_2_bn, inception_a3_3x3_bn, inception_a3_3x3_2_bn, inception_a3_3x3_3_bn, inception_a3_1x1_bn, inception_a4_1x1_2_bn, inception_a4_3x3_bn, inception_a4_3x3_2_bn, inception_a4_3x3_3_bn, inception_a4_1x1_bn
+        add_config(TensorShape(35U, 35U, 96U), TensorShape(96U));
+        // inception_a1_3x3_reduce_bn, inception_a1_3x3_2_reduce_bn, inception_a2_3x3_reduce_bn, inception_a2_3x3_2_reduce_bn, inception_a3_3x3_reduce_bn, inception_a3_3x3_2_reduce_bn, inception_a4_3x3_reduce_bn, inception_a4_3x3_2_reduce_bn
+        add_config(TensorShape(35U, 35U, 64U), TensorShape(64U));
+        // reduction_a_3x3_bn, inception_b1_1x1_2_bn, inception_b2_1x1_2_bn, inception_b3_1x1_2_bn, inception_b4_1x1_2_bn, inception_b5_1x1_2_bn, inception_b6_1x1_2_bn, inception_b7_1x1_2_bn
+        add_config(TensorShape(17U, 17U, 384U), TensorShape(384U));
+        // reduction_a_3x3_2_bn
+        add_config(TensorShape(35U, 35U, 224U), TensorShape(224U));
+        // reduction_a_3x3_3_bn, inception_b1_7x1_bn, inception_b1_1x7_3_bn, inception_b2_7x1_bn, inception_b2_1x7_3_bn, inception_b3_7x1_bn, inception_b3_1x7_3_bn, inception_b4_7x1_bn, inception_b4_1x7_3_bn, inception_b5_7x1_bn, inception_b5_1x7_3_bn, inception_b6_7x1_bn, inception_b6_1x7_3_bn, inception_b7_7x1_bn, inception_b7_1x7_3_bn, reduction_b_1x7_reduce_bn, reduction_b_1x7_bn
+        add_config(TensorShape(17U, 17U, 256U), TensorShape(256U));
+        // inception_b1_1x7_reduce_bn, inception_b1_7x1_2_reduce_bn, inception_b1_7x1_2_bn, inception_b2_1x7_reduce_bn, inception_b2_7x1_2_reduce_bn, inception_b2_7x1_2_bn, inception_b3_1x7_reduce_bn, inception_b3_7x1_2_reduce_bn, inception_b3_7x1_2_bn, inception_b4_1x7_reduce_bn, inception_b4_7x1_2_reduce_bn, inception_b4_7x1_2_bn, inception_b5_1x7_reduce_bn, inception_b5_7x1_2_reduce_bn, inception_b5_7x1_2_bn, inception_b6_1x7_reduce_bn, inception_b6_7x1_2_reduce_bn, inception_b6_7x1_2_bn, inception_b7_1x7_reduce_bn, inception_b7_7x1_2_reduce_bn, inception_b7_7x1_2_bn, reduction_b_3x3_reduce_bn
+        add_config(TensorShape(17U, 17U, 192U), TensorShape(192U));
+        // inception_b1_1x7_bn, inception_b1_1x7_2_bn, inception_b1_7x1_3_bn, inception_b2_1x7_bn, inception_b2_1x7_2_bn, inception_b2_7x1_3_bn, inception_b3_1x7_bn, inception_b3_1x7_2_bn, inception_b3_7x1_3_bn, inception_b4_1x7_bn, inception_b4_1x7_2_bn, inception_b4_7x1_3_bn, inception_b5_1x7_bn, inception_b5_1x7_2_bn, inception_b5_7x1_3_bn, inception_b6_1x7_bn, inception_b6_1x7_2_bn, inception_b6_7x1_3_bn, inception_b7_1x7_bn, inception_b7_1x7_2_bn, inception_b7_7x1_3_bn
+        add_config(TensorShape(17U, 17U, 224U), TensorShape(224U));
+        // inception_b1_1x1_bn, inception_b2_1x1_bn, inception_b3_1x1_bn, inception_b4_1x1_bn, inception_b5_1x1_bn, inception_b6_1x1_bn, inception_b7_1x1_bn
+        add_config(TensorShape(17U, 17U, 128U), TensorShape(128U));
+        // reduction_b_3x3_bn
+        add_config(TensorShape(8U, 8U, 192U), TensorShape(192U));
+        // reduction_b_7x1_bn
+        add_config(TensorShape(17U, 17U, 320U), TensorShape(320U));
+        // reduction_b_3x3_2_bn
+        add_config(TensorShape(8U, 8U, 320U), TensorShape(320U));
+        // inception_c1_1x1_2_bn, inception_c1_1x3_bn, inception_c1_3x1_bn, inception_c1_1x3_3_bn, inception_c1_3x1_3_bn, inception_c1_1x1_bn, inception_c2_1x1_2_bn, inception_c2_1x3_bn, inception_c2_3x1_bn, inception_c2_1x3_3_bn, inception_c2_3x1_3_bn, inception_c2_1x1_bn, inception_c3_1x1_2_bn, inception_c3_1x3_bn, inception_c3_3x1_bn, inception_c3_1x3_3_bn, inception_c3_3x1_3_bn, inception_c3_1x1_bn
+        add_config(TensorShape(8U, 8U, 256U), TensorShape(256U));
+        // inception_c1_1x1_3_bn, inception_c1_1x1_4_bn, inception_c2_1x1_3_bn, inception_c2_1x1_4_bn, inception_c3_1x1_3_bn, inception_c3_1x1_4_bn
+        add_config(TensorShape(8U, 8U, 384U), TensorShape(384U));
+        // inception_c1_3x1_2_bn, inception_c2_3x1_2_bn, inception_c3_3x1_2_bn
+        add_config(TensorShape(8U, 8U, 448U), TensorShape(448U));
+        // inception_c1_1x3_2_bn, inception_c2_1x3_2_bn, inception_c3_1x3_2_bn
+        add_config(TensorShape(8U, 8U, 512U), TensorShape(512U));
+    }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_NORMALIZEPLANARYUV_LAYER_DATASET */