aboutsummaryrefslogtreecommitdiff
path: root/tests/validation/TensorFactory.h
diff options
context:
space:
mode:
Diffstat (limited to 'tests/validation/TensorFactory.h')
-rw-r--r--tests/validation/TensorFactory.h113
1 files changed, 113 insertions, 0 deletions
diff --git a/tests/validation/TensorFactory.h b/tests/validation/TensorFactory.h
new file mode 100644
index 0000000000..48f9d6702f
--- /dev/null
+++ b/tests/validation/TensorFactory.h
@@ -0,0 +1,113 @@
+/*
+ * 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_TENSOR_FACTORY_H__
+#define __ARM_COMPUTE_TEST_TENSOR_FACTORY_H__
+
+#include "RawTensor.h"
+#include "Tensor.h"
+#include "arm_compute/core/Error.h"
+
+#include "boost_wrapper.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+using TensorVariant = boost::variant < Tensor<uint8_t>, Tensor<int8_t>,
+ Tensor<uint16_t>, Tensor<int16_t>,
+ Tensor<uint32_t>, Tensor<int32_t>,
+#ifdef ENABLE_FP16
+ Tensor<float16_t>,
+#endif
+ Tensor<float >>;
+
+/** Helper to create a constant type if the passed reference is constant. */
+template <typename R, typename T>
+struct match_const
+{
+ using type = typename std::conditional<std::is_const<typename std::remove_reference<R>::type>::value, const T, T>::type;
+};
+
+class TensorFactory
+{
+public:
+ template <typename R>
+ static TensorVariant get_tensor(R &&raw)
+ {
+ TensorVariant v;
+ DataType dt = raw.data_type();
+ int fixed_point_position = raw.fixed_point_position();
+ auto shape = raw.shape();
+ auto data = raw.data();
+
+ switch(dt)
+ {
+ case DataType::U8:
+ using value_type_u8 = typename match_const<R, uint8_t>::type;
+ v = Tensor<uint8_t>(shape, dt, fixed_point_position, reinterpret_cast<value_type_u8 *>(data));
+ break;
+ case DataType::S8:
+ case DataType::QS8:
+ using value_type_s8 = typename match_const<R, int8_t>::type;
+ v = Tensor<int8_t>(shape, dt, fixed_point_position, reinterpret_cast<value_type_s8 *>(data));
+ break;
+ case DataType::U16:
+ using value_type_u16 = typename match_const<R, uint16_t>::type;
+ v = Tensor<uint16_t>(shape, dt, fixed_point_position, reinterpret_cast<value_type_u16 *>(data));
+ break;
+ case DataType::S16:
+ using value_type_s16 = typename match_const<R, int16_t>::type;
+ v = Tensor<int16_t>(shape, dt, fixed_point_position, reinterpret_cast<value_type_s16 *>(data));
+ break;
+ case DataType::U32:
+ using value_type_u32 = typename match_const<R, uint32_t>::type;
+ v = Tensor<uint32_t>(shape, dt, fixed_point_position, reinterpret_cast<value_type_u32 *>(data));
+ break;
+ case DataType::S32:
+ using value_type_s32 = typename match_const<R, int32_t>::type;
+ v = Tensor<int32_t>(shape, dt, fixed_point_position, reinterpret_cast<value_type_s32 *>(data));
+ break;
+#ifdef ENABLE_FP16
+ case DataType::F16:
+ using value_type_f16 = typename match_const<R, float16_t>::type;
+ v = Tensor<float16_t>(raw.shape(), dt, reinterpret_cast<value_type_f16 *>(raw.data()));
+ break;
+#endif
+ case DataType::F32:
+ using value_type_f32 = typename match_const<R, float>::type;
+ v = Tensor<float>(shape, dt, fixed_point_position, reinterpret_cast<value_type_f32 *>(data));
+ break;
+ default:
+ ARM_COMPUTE_ERROR("NOT SUPPORTED!");
+ }
+ return v;
+ }
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+
+#endif /* __ARM_COMPUTE_TEST_TENSOR_FACTORY_H__ */