From 93a690edc48ad78cc9d7a580638475c6e77b32c2 Mon Sep 17 00:00:00 2001
From: Giorgio Arena <giorgio.arena@arm.com>
Date: Tue, 1 Aug 2017 16:09:33 +0100
Subject: COMPMID-452 CL Depthwise Separable Convolution Layer kernel
 implementation, validation and benchmarking for 3x3xC depthwise filter and
 DataType::F32.

Change-Id: I95c0c87709763cdbf58d0de66025eac86e30791b
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/82768
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Steven Niu <steven.niu@arm.com>
---
 .../fixtures/DepthwiseConvolutionFixture.h         | 120 +++++++++++++++++++++
 1 file changed, 120 insertions(+)
 create mode 100644 tests/validation_new/fixtures/DepthwiseConvolutionFixture.h

(limited to 'tests/validation_new/fixtures/DepthwiseConvolutionFixture.h')

diff --git a/tests/validation_new/fixtures/DepthwiseConvolutionFixture.h b/tests/validation_new/fixtures/DepthwiseConvolutionFixture.h
new file mode 100644
index 0000000000..b745c7e53c
--- /dev/null
+++ b/tests/validation_new/fixtures/DepthwiseConvolutionFixture.h
@@ -0,0 +1,120 @@
+/*
+ * 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_DEPTHWISE_CONVOLUTION_FIXTURE
+#define ARM_COMPUTE_TEST_DEPTHWISE_CONVOLUTION_FIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "framework/Asserts.h"
+#include "framework/Fixture.h"
+#include "tests/AssetsLibrary.h"
+#include "tests/Globals.h"
+#include "tests/IAccessor.h"
+#include "tests/validation_new/CPP/DepthwiseConvolution.h"
+#include "tests/validation_new/Helpers.h"
+
+#include <random>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class DepthwiseConvolutionValidationFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape in_shape, TensorShape weights_shape, TensorShape out_shape, PadStrideInfo pad_stride_info)
+    {
+        _target    = compute_target(in_shape, weights_shape, out_shape, pad_stride_info);
+        _reference = compute_reference(in_shape, weights_shape, out_shape, pad_stride_info);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor, int i)
+    {
+        switch(tensor.data_type())
+        {
+            case DataType::F32:
+            {
+                std::uniform_real_distribution<> distribution(-1.0f, 1.0f);
+                library->fill(tensor, distribution, i);
+                break;
+            }
+            default:
+                library->fill_tensor_uniform(tensor, i);
+        }
+    }
+
+    TensorType compute_target(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &output_shape, PadStrideInfo &pad_stride_info)
+    {
+        // Create tensors
+        TensorType src     = create_tensor<TensorType>(input_shape, DataType::F32);
+        TensorType weights = create_tensor<TensorType>(weights_shape, DataType::F32);
+        TensorType dst     = create_tensor<TensorType>(output_shape, DataType::F32);
+
+        // Create Depthwise Convolution configure function
+        CLDepthwiseConvolution depthwise_convolution;
+        depthwise_convolution.configure(&src, &dst, &weights, pad_stride_info);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        weights.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!weights.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Fill tensors
+        fill(AccessorType(src), 0);
+        fill(AccessorType(weights), 1);
+
+        // Compute function
+        depthwise_convolution.run();
+
+        return dst;
+    }
+
+    SimpleTensor<T> compute_reference(const TensorShape &in_shape, const TensorShape &weights_shape, const TensorShape &out_shape, const PadStrideInfo &pad_stride_info)
+    {
+        SimpleTensor<T> src(in_shape, DataType::F32);
+        SimpleTensor<T> weights(weights_shape, DataType::F32);
+
+        fill(src, 0);
+        fill(weights, 1);
+
+        return reference::depthwise_convolution(src, weights, out_shape, pad_stride_info);
+    }
+
+    TensorType      _target{};
+    SimpleTensor<T> _reference{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_DEPTHWISE_CONVOLUTION_FIXTURE */
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