COMPMID-935 Implementing Convolution with Winograd on OpenCL (part 3)

Change-Id: I51f92f30602fb0a02314f344fa67061f448694bf
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/122793
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>

1 files changed, 135 insertions, 0 deletions

diff --git a/tests/validation/CL/Winograd.cpp b/tests/validation/CL/Winograd.cpp
new file mode 100644
index 0000000000..664b3f4ef8
--- /dev/null
+++ b/tests/validation/CL/Winograd.cpp
@@ -0,0 +1,135 @@
+/*
+ * Copyright (c) 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 CONCLCTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/CLTensorAllocator.h"
+#include "arm_compute/runtime/CL/functions/CLWinogradInputTransform.h"
+#include "tests/CL/CLAccessor.h"
+#include "tests/datasets/WinogradInputTransformDataset.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/WinogradLayerFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+TEST_SUITE(CL)
+TEST_SUITE(Winograd)
+
+TEST_SUITE(InputTransform)
+
+// *INDENT-OFF*
+// clang-format off
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
+                                                framework::dataset::make("InputInfo",{
+                                                                                        TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F16),     // F16 not supported
+                                                                                        TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::QASYMM8), // QASYMM8 not supported
+                                                                                        TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F32),     // Kernel size not supported
+                                                                                        TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F32),     // Strides not supported
+                                                                                        TensorInfo(TensorShape(53U, 33U, 4U), 1, DataType::F32),         // valid
+                                                                                        TensorInfo(TensorShape(34U, 42U, 7U, 3U), 1, DataType::F32),     // valid
+                                                                                        TensorInfo(TensorShape(31U, 37U, 37U), 1, DataType::F32)         // valid
+                                                                                    }),
+                                                framework::dataset::make("OutputInfo", {
+                                                                                        TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F16),
+                                                                                        TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::QASYMM8),
+                                                                                        TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F32),
+                                                                                        TensorInfo(TensorShape(5U, 1U, 16U, 3U), 1, DataType::F32),
+                                                                                        TensorInfo(TensorShape(4U, 442U, 16U), 1, DataType::F32),
+                                                                                        TensorInfo(TensorShape(7U, 320U, 16U, 3U), 1, DataType::F32),
+                                                                                        TensorInfo(TensorShape(37U, 304U, 16U), 1, DataType::F32)
+                                                                                    })),
+                                                framework::dataset::make("PadStrideInfo", {
+                                                                                        PadStrideInfo(1, 1, 1, 0),
+                                                                                        PadStrideInfo(1, 1, 0, 0),
+                                                                                        PadStrideInfo(1, 1, 1, 1),
+                                                                                        PadStrideInfo(2, 1, 1, 1),
+                                                                                        PadStrideInfo(1, 1, 0, 1),
+                                                                                        PadStrideInfo(1, 1, 0, 0),
+                                                                                        PadStrideInfo(1, 1, 1, 1)
+                                                                                    })),
+                                                framework::dataset::make("KernelDims", {
+                                                                                        Size2D(3U, 3U),
+                                                                                        Size2D(3U, 3U),
+                                                                                        Size2D(5U, 5U),
+                                                                                        Size2D(3U, 3U),
+                                                                                        Size2D(3U, 3U),
+                                                                                        Size2D(3U, 3U),
+                                                                                        Size2D(3U, 3U)
+                                                                                    })),
+                                                framework::dataset::make("Expected", { false, false, false, false, true, true, true })),
+                                            input_info, output_info, conv_info, kernel_dims, expected)
+{
+    ARM_COMPUTE_EXPECT(bool(CLWinogradInputTransform::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), conv_info, kernel_dims)) == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
+using CLWinogradInputTransformFixture = WinogradInputTransformValidationFixture<CLTensor, CLAccessor, CLWinogradInputTransform, float>;
+
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallWinogradInputTransformDataset(), datasets::LargeWinogradInputTransformDataset()),
+                                                                   framework::dataset::make("DataType", { DataType::F32 })),
+               shape_in, conv_info, kernel_dims, is_nchw_format, data_type)
+{
+    ARM_COMPUTE_UNUSED(is_nchw_format);
+
+    TensorShape shape_out = compute_winograd_input_transform_shape(TensorInfo(shape_in, 1, data_type), conv_info, kernel_dims);
+
+    // Create tensors
+    CLTensor in  = create_tensor<CLTensor>(shape_in, data_type);
+    CLTensor out = create_tensor<CLTensor>(shape_out, data_type);
+
+    ARM_COMPUTE_EXPECT(in.info()->is_resizable(), framework::LogLevel::ERRORS);
+    ARM_COMPUTE_EXPECT(out.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+    // Create and configure function
+    CLWinogradInputTransform winograd_input_transform;
+
+    // Configure the function
+    winograd_input_transform.configure(&in, &out, conv_info, kernel_dims);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradInputTransformFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallWinogradInputTransformDataset(), framework::dataset::make("DataType", { DataType::F32 })))
+{
+    validate(CLAccessor(_target), _reference);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeWinogradInputTransformDataset(), framework::dataset::make("DataType", { DataType::F32 })))
+{
+    validate(CLAccessor(_target), _reference);
+}
+
+TEST_SUITE_END()
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace validation
+} // namespace test
+} // namespace arm_compute