/* * Copyright (c) 2016-2021 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_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->is_window_configured(), 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(parent_shape[i]); const bool out_of_bounds_size = coords[i] + static_cast(shape[i]) > static_cast(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(parent_valid_region.shape[d])) < (valid_region.anchor[d] + static_cast(valid_region.shape[d])), function, file, line); } return arm_compute::Status{}; }