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/*
* Copyright (c) 2017-2018 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.
*/
#include "arm_compute/core/Error.h"
#include "tests/RawTensor.h"
#include "tests/SimpleTensor.h"
#include <iostream>
#include <sstream>
namespace arm_compute
{
namespace test
{
namespace
{
template <typename T>
inline std::string prettify_tensor(const SimpleTensor<T> &input, const IOFormatInfo &io_fmt = IOFormatInfo{ IOFormatInfo::PrintRegion::NoPadding })
{
ARM_COMPUTE_ERROR_ON(input.data() == nullptr);
RawTensor tensor(std::move(SimpleTensor<T>(input)));
TensorInfo info(tensor.shape(), tensor.num_channels(), tensor.data_type());
const DataType dt = info.data_type();
const size_t slices2D = info.tensor_shape().total_size_upper(2);
const Strides strides = info.strides_in_bytes();
const PaddingSize padding = info.padding();
const size_t num_channels = info.num_channels();
std::ostringstream os;
// Set precision
if(is_data_type_float(dt) && (io_fmt.precision_type != IOFormatInfo::PrecisionType::Default))
{
int precision = io_fmt.precision;
if(io_fmt.precision_type == IOFormatInfo::PrecisionType::Full)
{
precision = std::numeric_limits<float>().max_digits10;
}
os.precision(precision);
}
// Define region to print
size_t print_width = 0;
size_t print_height = 0;
int start_offset = 0;
switch(io_fmt.print_region)
{
case IOFormatInfo::PrintRegion::NoPadding:
print_width = info.dimension(0);
print_height = info.dimension(1);
start_offset = info.offset_first_element_in_bytes();
break;
case IOFormatInfo::PrintRegion::ValidRegion:
print_width = info.valid_region().shape.x();
print_height = info.valid_region().shape.y();
start_offset = info.offset_element_in_bytes(Coordinates(info.valid_region().anchor.x(),
info.valid_region().anchor.y()));
break;
case IOFormatInfo::PrintRegion::Full:
print_width = padding.left + info.dimension(0) + padding.right;
print_height = padding.top + info.dimension(1) + padding.bottom;
start_offset = static_cast<int>(info.offset_first_element_in_bytes()) - padding.top * strides[1] - padding.left * strides[0];
break;
default:
break;
}
print_width = print_width * num_channels;
// Set pointer to start
const uint8_t *ptr = tensor.data() + start_offset;
// Start printing
for(size_t i = 0; i < slices2D; ++i)
{
// Find max_width of elements in slice to align columns
int max_element_width = 0;
if(io_fmt.align_columns)
{
size_t offset = i * strides[2];
for(size_t h = 0; h < print_height; ++h)
{
max_element_width = std::max<int>(max_element_width, max_consecutive_elements_display_width(os, dt, ptr + offset, print_width));
offset += strides[1];
}
}
// Print slice
{
size_t offset = i * strides[2];
for(size_t h = 0; h < print_height; ++h)
{
print_consecutive_elements(os, dt, ptr + offset, print_width, max_element_width, io_fmt.element_delim);
offset += strides[1];
os << io_fmt.row_delim;
}
os << io_fmt.row_delim;
}
}
return os.str();
}
template <typename T>
inline std::ostream &operator<<(std::ostream &os, const SimpleTensor<T> &tensor)
{
os << prettify_tensor(tensor, IOFormatInfo{ IOFormatInfo::PrintRegion::NoPadding });
return os;
}
template <typename T>
inline std::string to_string(const SimpleTensor<T> &tensor)
{
std::stringstream ss;
ss << tensor;
return ss.str();
}
#if PRINT_TENSOR_LIMIT
template <typename T>
void print_simpletensor(const SimpleTensor<T> &tensor, const std::string &title, const IOFormatInfo::PrintRegion ®ion = IOFormatInfo::PrintRegion::NoPadding)
{
if(tensor.num_elements() < PRINT_TENSOR_LIMIT)
{
std::cout << title << ":" << std::endl;
std::cout << prettify_tensor(tensor, IOFormatInfo{ region });
}
}
#endif // PRINT_TENSOR_LIMIT
}
} // namespace test
} // namespace arm_compute
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