COMPMID-1718: Extend DepthConvert to support Cast

Change-Id: I6ee2c0b670727fc808fa636c53ddfaec3a0036c9

1 files changed, 144 insertions, 0 deletions

diff --git a/tests/validation/fixtures/CastFixture.h b/tests/validation/fixtures/CastFixture.h
new file mode 100644
index 0000000000..3a6efa22af
--- /dev/null
+++ b/tests/validation/fixtures/CastFixture.h
@@ -0,0 +1,144 @@
+/*
+ * 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 CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef ARM_COMPUTE_TEST_CAST_FIXTURE
+#define ARM_COMPUTE_TEST_CAST_FIXTURE
+
+#include "tests/validation/fixtures/DepthConvertLayerFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2>
+class CastValidationFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, DataType dt_in, DataType dt_out, ConvertPolicy policy)
+    {
+        _target    = compute_target(shape, dt_in, dt_out, policy);
+        _reference = compute_reference(shape, dt_in, dt_out, policy);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor, int i, DataType dt_in, DataType dt_out)
+    {
+        // Restricting range to avoid inf values
+        if(dt_out == DataType::F16)
+        {
+            const int signed_min   = -32000;
+            const int signed_max   = 32000;
+            const int unsigned_min = 0;
+            const int unsigned_max = 65000;
+
+            switch(dt_in)
+            {
+                case DataType::U8:
+                case DataType::QASYMM8:
+                case DataType::S8:
+                case DataType::F32:
+                {
+                    library->fill_tensor_uniform(tensor, i);
+                    break;
+                }
+                case DataType::U16:
+                {
+                    library->fill_tensor_uniform(tensor, i, static_cast<uint16_t>(unsigned_min), static_cast<uint16_t>(unsigned_max));
+                    break;
+                }
+                case DataType::S16:
+                {
+                    library->fill_tensor_uniform(tensor, i, static_cast<int16_t>(signed_min), static_cast<int16_t>(signed_max));
+                    break;
+                }
+                case DataType::U32:
+                {
+                    library->fill_tensor_uniform(tensor, i, static_cast<uint32_t>(unsigned_min), static_cast<uint32_t>(unsigned_max));
+                    break;
+                }
+                case DataType::S32:
+                {
+                    library->fill_tensor_uniform(tensor, i, static_cast<int32_t>(signed_min), static_cast<int32_t>(signed_max));
+                    break;
+                }
+                default:
+                    ARM_COMPUTE_ERROR("NOT SUPPORTED!");
+            }
+        }
+        else
+        {
+            library->fill_tensor_uniform(tensor, i);
+        }
+    }
+
+    TensorType compute_target(const TensorShape &shape, DataType dt_in, DataType dt_out, ConvertPolicy policy)
+    {
+        // Create tensors
+        TensorType src = create_tensor<TensorType>(shape, dt_in, 1);
+        TensorType dst = create_tensor<TensorType>(shape, dt_out, 1);
+
+        // Create and configure function
+        FunctionType cast;
+        cast.configure(&src, &dst, policy);
+
+        ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Fill tensors
+        fill(AccessorType(src), 0, dt_in, dt_out);
+
+        // Compute function
+        cast.run();
+
+        return dst;
+    }
+
+    SimpleTensor<T2> compute_reference(const TensorShape &shape, DataType dt_in, DataType dt_out, ConvertPolicy policy)
+    {
+        // Create reference
+        SimpleTensor<T1> src{ shape, dt_in, 1 };
+
+        // Fill reference
+        fill(src, 0, dt_in, dt_out);
+
+        return reference::depth_convert<T1, T2>(src, dt_out, policy, 0);
+    }
+
+    TensorType       _target{};
+    SimpleTensor<T2> _reference{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_CAST_FIXTURE */