2 * Copyright (c) 2017-2018 ARM Limited.
4 * SPDX-License-Identifier: MIT
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
24 #ifndef __ARM_COMPUTE_TEST_GC_HELPER_H__
25 #define __ARM_COMPUTE_TEST_GC_HELPER_H__
27 #include "tests/Globals.h"
29 #include "arm_compute/core/ITensor.h"
30 #include "arm_compute/runtime/GLES_COMPUTE/GCTensor.h"
38 /** Helper to create an empty tensor.
40 * @param[in] shape Desired shape.
41 * @param[in] data_type Desired data type.
42 * @param[in] num_channels (Optional) It indicates the number of channels for each tensor element
43 * @param[in] fixed_point_position (Optional) Fixed point position that expresses the number of bits for the fractional part of the number when the tensor's data type is QS8 or QS16.
45 * @return Empty @ref GCTensor with the specified shape and data type.
47 inline GCTensor create_tensor(const TensorShape &shape, DataType data_type, int num_channels = 1, int fixed_point_position = 0)
50 tensor.allocator()->init(TensorInfo(shape, num_channels, data_type, fixed_point_position));
55 /** Helper to create an empty tensor.
57 * @param[in] name File name from which to get the dimensions.
58 * @param[in] data_type Desired data type.
60 * @return Empty @ref GCTensor with the specified shape and data type.
62 inline GCTensor create_tensor(const std::string &name, DataType data_type)
64 constexpr unsigned int num_channels = 1;
66 const RawTensor &raw = library->get(name);
69 tensor.allocator()->init(TensorInfo(raw.shape(), num_channels, data_type));
74 /** Helper to print tensor.
76 * @param[in] tensor Tensor to print.
77 * @param[in] name Tensor name.
78 * @param[in] info Format information.
80 * @return Empty @ref GCTensor with the specified shape and data type.
82 inline void print_tensor(ITensor &tensor, const std::string &name, IOFormatInfo info = IOFormatInfo(IOFormatInfo::PrintRegion::Full))
85 IGCTensor &t = dynamic_cast<IGCTensor &>(tensor);
89 std::cout << name << ":" << std::endl;
90 std::cout << s.str().c_str();
94 } // namespace arm_compute
95 #endif /* __ARM_COMPUTE_TEST_GC_HELPER_H__ */