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/*
* Copyright (c) 2016-2020 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/Validate.h"
arm_compute::Status arm_compute::error_on_mismatching_windows(const char *function, const char *file, const int line,
const arm_compute::Window &full, const arm_compute::Window &win)
{
full.validate();
win.validate();
for(size_t i = 0; i < arm_compute::Coordinates::num_max_dimensions; ++i)
{
ARM_COMPUTE_RETURN_ERROR_ON_LOC(full[i].start() != win[i].start(), function, file, line);
ARM_COMPUTE_RETURN_ERROR_ON_LOC(full[i].end() != win[i].end(), function, file, line);
ARM_COMPUTE_RETURN_ERROR_ON_LOC(full[i].step() != win[i].step(), function, file, line);
}
return arm_compute::Status{};
}
arm_compute::Status arm_compute::error_on_invalid_subwindow(const char *function, const char *file, const int line,
const arm_compute::Window &full, const arm_compute::Window &sub)
{
full.validate();
sub.validate();
for(size_t i = 0; i < arm_compute::Coordinates::num_max_dimensions; ++i)
{
ARM_COMPUTE_RETURN_ERROR_ON_LOC(full[i].start() > sub[i].start(), function, file, line);
ARM_COMPUTE_RETURN_ERROR_ON_LOC(full[i].end() < sub[i].end(), function, file, line);
ARM_COMPUTE_RETURN_ERROR_ON_LOC(full[i].step() != sub[i].step(), function, file, line);
ARM_COMPUTE_RETURN_ERROR_ON_LOC((sub[i].start() - full[i].start()) % sub[i].step(), function, file, line);
}
return arm_compute::Status{};
}
arm_compute::Status arm_compute::error_on_window_not_collapsable_at_dimension(const char *function, const char *file, const int line,
const arm_compute::Window &full, const arm_compute::Window &window, const int dim)
{
full.validate();
window.validate();
ARM_COMPUTE_RETURN_ERROR_ON_LOC(window[dim].start() != 0, function, file, line);
ARM_COMPUTE_RETURN_ERROR_ON_LOC(window[dim].start() != full[dim].start(), function, file, line);
ARM_COMPUTE_RETURN_ERROR_ON_LOC(full[dim].end() != window[dim].end(), function, file, line);
return arm_compute::Status{};
}
arm_compute::Status arm_compute::error_on_coordinates_dimensions_gte(const char *function, const char *file, const int line,
const arm_compute::Coordinates &pos, unsigned int max_dim)
{
for(unsigned int i = max_dim; i < arm_compute::Coordinates::num_max_dimensions; ++i)
{
ARM_COMPUTE_RETURN_ERROR_ON_LOC(pos[i] != 0, function, file, line);
}
return arm_compute::Status{};
}
arm_compute::Status arm_compute::error_on_window_dimensions_gte(const char *function, const char *file, const int line,
const arm_compute::Window &win, unsigned int max_dim)
{
for(unsigned int i = max_dim; i < arm_compute::Coordinates::num_max_dimensions; ++i)
{
ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG_VAR((win[i].start() != 0) || (win[i].end() != win[i].step()),
function, file, line,
"Maximum number of dimensions expected %u but dimension %u is not empty", max_dim, i);
}
return arm_compute::Status{};
}
arm_compute::Status arm_compute::error_on_tensor_not_2d(const char *function, const char *file, const int line,
const arm_compute::ITensor *tensor)
{
ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor == nullptr, function, file, line);
ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor->info() == nullptr, function, file, line);
ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG_VAR(tensor->info()->num_dimensions() != 2,
function, file, line,
"Only 2D Tensors are supported by this kernel (%zu passed)", tensor->info()->num_dimensions());
return arm_compute::Status{};
}
arm_compute::Status arm_compute::error_on_tensor_not_2d(const char *function, const char *file, const int line,
const arm_compute::ITensorInfo *tensor)
{
ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor == nullptr, function, file, line);
ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG_VAR(tensor->num_dimensions() != 2,
function, file, line,
"Only 2D Tensors are supported by this kernel (%zu passed)", tensor->num_dimensions());
return arm_compute::Status{};
}
arm_compute::Status arm_compute::error_on_channel_not_in_known_format(const char *function, const char *file, const int line,
arm_compute::Format fmt, arm_compute::Channel cn)
{
ARM_COMPUTE_RETURN_ERROR_ON_LOC(fmt == arm_compute::Format::UNKNOWN, function, file, line);
ARM_COMPUTE_RETURN_ERROR_ON_LOC(cn == arm_compute::Channel::UNKNOWN, function, file, line);
switch(fmt)
{
case arm_compute::Format::RGB888:
arm_compute::error_on_channel_not_in(function, file, line, cn, arm_compute::Channel::R, arm_compute::Channel::G, arm_compute::Channel::B);
break;
case arm_compute::Format::RGBA8888:
arm_compute::error_on_channel_not_in(function, file, line, cn, arm_compute::Channel::R, arm_compute::Channel::G, arm_compute::Channel::B, arm_compute::Channel::A);
break;
case arm_compute::Format::UV88:
arm_compute::error_on_channel_not_in(function, file, line, cn, arm_compute::Channel::U, arm_compute::Channel::V);
break;
case arm_compute::Format::IYUV:
case arm_compute::Format::UYVY422:
case arm_compute::Format::YUYV422:
case arm_compute::Format::NV12:
case arm_compute::Format::NV21:
case arm_compute::Format::YUV444:
arm_compute::error_on_channel_not_in(function, file, line, cn, arm_compute::Channel::Y, arm_compute::Channel::U, arm_compute::Channel::V);
break;
default:
ARM_COMPUTE_ERROR_LOC(function, file, line, "Not supported format.");
}
return arm_compute::Status{};
}
arm_compute::Status arm_compute::error_on_invalid_multi_hog(const char *function, const char *file, const int line,
const arm_compute::IMultiHOG *multi_hog)
{
ARM_COMPUTE_RETURN_ERROR_ON_LOC(nullptr == multi_hog, function, file, line);
ARM_COMPUTE_RETURN_ERROR_ON_LOC(0 == multi_hog->num_models(), function, file, line);
for(size_t i = 1; i < multi_hog->num_models(); ++i)
{
ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(multi_hog->model(0)->info()->phase_type() != multi_hog->model(i)->info()->phase_type(),
function, file, line,
"All HOG parameters must have the same phase type");
ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(multi_hog->model(0)->info()->normalization_type() != multi_hog->model(i)->info()->normalization_type(),
function, file, line,
"All HOG parameters must have the same normalization type");
ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG((multi_hog->model(0)->info()->l2_hyst_threshold() != multi_hog->model(i)->info()->l2_hyst_threshold())
&& (multi_hog->model(0)->info()->normalization_type() == arm_compute::HOGNormType::L2HYS_NORM),
function, file, line,
"All HOG parameters must have the same l2 hysteresis threshold if you use L2 hysteresis normalization type");
}
return arm_compute::Status{};
}
arm_compute::Status arm_compute::error_on_unconfigured_kernel(const char *function, const char *file, const int line,
const arm_compute::IKernel *kernel)
{
ARM_COMPUTE_RETURN_ERROR_ON_LOC(kernel == nullptr, function, file, line);
ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG((kernel->window().x().start() == kernel->window().x().end()) && (kernel->window().x().end() == 0) && (kernel->window().x().step() == 0),
function, file, line,
"This kernel hasn't been configured.");
return arm_compute::Status{};
}
arm_compute::Status arm_compute::error_on_invalid_subtensor(const char *function, const char *file, const int line,
const TensorShape &parent_shape, const Coordinates &coords, const TensorShape &shape)
{
// Check dimensions
for(unsigned int i = 0; i < TensorShape::num_max_dimensions; ++i)
{
const bool invalid_idx = coords[i] >= static_cast<int>(parent_shape[i]);
const bool out_of_bounds_size = coords[i] + static_cast<int>(shape[i]) > static_cast<int>(parent_shape[i]);
ARM_COMPUTE_RETURN_ERROR_ON_LOC(invalid_idx || out_of_bounds_size, function, file, line);
}
return arm_compute::Status{};
}
arm_compute::Status arm_compute::error_on_invalid_subtensor_valid_region(const char *function, const char *file, const int line,
const ValidRegion &parent_valid_region, const ValidRegion &valid_region)
{
// Check valid regions
for(unsigned int d = 0; d < TensorShape::num_max_dimensions; ++d)
{
ARM_COMPUTE_RETURN_ERROR_ON_LOC((parent_valid_region.anchor[d] > valid_region.anchor[d]), function, file, line);
ARM_COMPUTE_RETURN_ERROR_ON_LOC((parent_valid_region.anchor[d] + static_cast<int>(parent_valid_region.shape[d])) < (valid_region.anchor[d] + static_cast<int>(valid_region.shape[d])),
function, file, line);
}
return arm_compute::Status{};
}
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