diff options
Diffstat (limited to 'tests/GLES_COMPUTE')
-rw-r--r-- | tests/GLES_COMPUTE/GCAccessor.h | 144 | ||||
-rw-r--r-- | tests/GLES_COMPUTE/Helper.h | 115 |
2 files changed, 259 insertions, 0 deletions
diff --git a/tests/GLES_COMPUTE/GCAccessor.h b/tests/GLES_COMPUTE/GCAccessor.h new file mode 100644 index 0000000000..0f7c491c3c --- /dev/null +++ b/tests/GLES_COMPUTE/GCAccessor.h @@ -0,0 +1,144 @@ +/* + * 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_GCACCESSOR_H__ +#define __ARM_COMPUTE_TEST_GCACCESSOR_H__ + +#include "arm_compute/runtime/GLES_COMPUTE/GCTensor.h" +#include "tests/IAccessor.h" + +namespace arm_compute +{ +namespace test +{ +/** Accessor implementation for @ref GCTensor objects. */ +class GCAccessor : public IAccessor +{ +public: + /** Create an accessor for the given @p tensor. + * + * @param[in, out] tensor To be accessed tensor. + * + * @note The GLES memory is mapped by the constructor. + * + */ + GCAccessor(GCTensor &tensor); + + GCAccessor(const GCAccessor &) = delete; + GCAccessor &operator=(const GCAccessor &) = delete; + GCAccessor(GCAccessor &&) = default; + GCAccessor &operator=(GCAccessor &&) = default; + + /** Destructor that unmaps the GLES memory. */ + ~GCAccessor(); + + TensorShape shape() const override; + size_t element_size() const override; + size_t size() const override; + Format format() const override; + DataType data_type() const override; + int num_channels() const override; + int num_elements() const override; + PaddingSize padding() const override; + int fixed_point_position() const override; + QuantizationInfo quantization_info() const override; + const void *operator()(const Coordinates &coord) const override; + void *operator()(const Coordinates &coord) override; + +private: + GCTensor &_tensor; +}; + +inline GCAccessor::GCAccessor(GCTensor &tensor) + : _tensor{ tensor } +{ + _tensor.map(); +} + +inline GCAccessor::~GCAccessor() +{ + _tensor.unmap(); +} + +inline TensorShape GCAccessor::shape() const +{ + return _tensor.info()->tensor_shape(); +} + +inline size_t GCAccessor::element_size() const +{ + return _tensor.info()->element_size(); +} + +inline size_t GCAccessor::size() const +{ + return _tensor.info()->total_size(); +} + +inline Format GCAccessor::format() const +{ + return _tensor.info()->format(); +} + +inline DataType GCAccessor::data_type() const +{ + return _tensor.info()->data_type(); +} + +inline int GCAccessor::num_channels() const +{ + return _tensor.info()->num_channels(); +} + +inline int GCAccessor::num_elements() const +{ + return _tensor.info()->tensor_shape().total_size(); +} + +inline PaddingSize GCAccessor::padding() const +{ + return _tensor.info()->padding(); +} + +inline int GCAccessor::fixed_point_position() const +{ + return _tensor.info()->fixed_point_position(); +} + +inline QuantizationInfo GCAccessor::quantization_info() const +{ + return _tensor.info()->quantization_info(); +} + +inline const void *GCAccessor::operator()(const Coordinates &coord) const +{ + return _tensor.ptr_to_element(coord); +} + +inline void *GCAccessor::operator()(const Coordinates &coord) +{ + return _tensor.ptr_to_element(coord); +} +} // namespace test +} // namespace arm_compute +#endif /* __ARM_COMPUTE_TEST_GCACCESSOR_H__ */ diff --git a/tests/GLES_COMPUTE/Helper.h b/tests/GLES_COMPUTE/Helper.h new file mode 100644 index 0000000000..5f6460aa61 --- /dev/null +++ b/tests/GLES_COMPUTE/Helper.h @@ -0,0 +1,115 @@ +/* + * 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_GC_HELPER_H__ +#define __ARM_COMPUTE_TEST_GC_HELPER_H__ + +#include "tests/Globals.h" + +#include "arm_compute/core/ITensor.h" +#include "arm_compute/runtime/GLES_COMPUTE/GCTensor.h" + +#include <iostream> + +namespace arm_compute +{ +namespace test +{ +namespace gles_compute +{ +/** Helper to create an empty tensor. + * + * @param[in] shape Desired shape. + * @param[in] data_type Desired data type. + * @param[in] num_channels (Optional) It indicates the number of channels for each tensor element + * @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. + * + * @return Empty @ref GCTensor with the specified shape and data type. + */ +inline GCTensor create_tensor(const TensorShape &shape, DataType data_type, int num_channels = 1, int fixed_point_position = 0) +{ + GCTensor tensor; + tensor.allocator()->init(TensorInfo(shape, num_channels, data_type, fixed_point_position)); + + return tensor; +} + +/** Helper to create an empty tensor. + * + * @param[in] name File name from which to get the dimensions. + * @param[in] data_type Desired data type. + * + * @return Empty @ref GCTensor with the specified shape and data type. + */ +inline GCTensor create_tensor(const std::string &name, DataType data_type) +{ + constexpr unsigned int num_channels = 1; + + const RawTensor &raw = library->get(name); + + GCTensor tensor; + tensor.allocator()->init(TensorInfo(raw.shape(), num_channels, data_type)); + + return tensor; +} + +/** Helper to print tensor. + * + * @param[in] tensor Tensor to print. + * @param[in] name Tensor name. + * @param[in] info Format information. + * + * @return Empty @ref GCTensor with the specified shape and data type. + */ +inline void print_tensor(ITensor &tensor, const std::string &name, IOFormatInfo info = IOFormatInfo(IOFormatInfo::PrintRegion::Full)) +{ + std::ostringstream s; + IGCTensor &t = dynamic_cast<IGCTensor &>(tensor); + t.map(); + t.print(s, info); + + std::cout << name << ":" << std::endl; + std::cout << s.str().c_str(); + t.unmap(); + + return; +} + +/** Helper to sync tensor, if tensor is not used, GPU have optimized the operation. + * + * @param[in] tensor Tensor to be sync. + * + * @return Empty @ref GCTensor with the specified shape and data type. + */ +inline void force_sync_tensor(ITensor &tensor) +{ + IGCTensor &t = dynamic_cast<IGCTensor &>(tensor); + t.map(); + t.unmap(); + + return; +} +} // namespace gles_compute +} // namespace test +} // namespace arm_compute +#endif /* __ARM_COMPUTE_TEST_GC_HELPER_H__ */ |