| /* |
| * Copyright (c) 2016-2019 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_VALIDATE_H |
| #define ARM_COMPUTE_VALIDATE_H |
| |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/HOGInfo.h" |
| #include "arm_compute/core/IKernel.h" |
| #include "arm_compute/core/IMultiHOG.h" |
| #include "arm_compute/core/IMultiImage.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/MultiImageInfo.h" |
| #include "arm_compute/core/Window.h" |
| |
| #include <algorithm> |
| |
| namespace arm_compute |
| { |
| namespace detail |
| { |
| /* Check whether two dimension objects differ. |
| * |
| * @param[in] dim1 First object to be compared. |
| * @param[in] dim2 Second object to be compared. |
| * @param[in] upper_dim The dimension from which to check. |
| * |
| * @return Return true if the two objects are different. |
| */ |
| template <typename T> |
| inline bool have_different_dimensions(const Dimensions<T> &dim1, const Dimensions<T> &dim2, unsigned int upper_dim) |
| { |
| for(unsigned int i = upper_dim; i < arm_compute::Dimensions<T>::num_max_dimensions; ++i) |
| { |
| if(dim1[i] != dim2[i]) |
| { |
| return true; |
| } |
| } |
| |
| return false; |
| } |
| |
| /** Function to compare two @ref Dimensions objects and throw an error on mismatch. |
| * |
| * @param[in] dim Object to compare against. |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file File in which the error occurred. |
| * @param[in] line Line in which the error occurred. |
| */ |
| template <typename T> |
| class compare_dimension |
| { |
| public: |
| /** Construct a comparison function. |
| * |
| * @param[in] dim Dimensions to compare. |
| * @param[in] function Source function. Used for error reporting. |
| * @param[in] file Source code file. Used for error reporting. |
| * @param[in] line Source code line. Used for error reporting. |
| */ |
| compare_dimension(const Dimensions<T> &dim, const char *function, const char *file, int line) |
| : _dim{ dim }, _function{ function }, _file{ file }, _line{ line } |
| { |
| } |
| |
| /** Compare the given object against the stored one. |
| * |
| * @param[in] dim To be compared object. |
| * |
| * @return a status. |
| */ |
| arm_compute::Status operator()(const Dimensions<T> &dim) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(have_different_dimensions(_dim, dim, 0), _function, _file, _line, |
| "Objects have different dimensions"); |
| return arm_compute::Status{}; |
| } |
| |
| private: |
| const Dimensions<T> &_dim; |
| const char *const _function; |
| const char *const _file; |
| const int _line; |
| }; |
| |
| template <typename F> |
| inline arm_compute::Status for_each_error(F &&) |
| { |
| return arm_compute::Status{}; |
| } |
| |
| template <typename F, typename T, typename... Ts> |
| inline arm_compute::Status for_each_error(F &&func, T &&arg, Ts &&... args) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(func(arg)); |
| ARM_COMPUTE_RETURN_ON_ERROR(for_each_error(func, args...)); |
| return arm_compute::Status{}; |
| } |
| |
| /** Get the info for a tensor, dummy struct */ |
| template <typename T> |
| struct get_tensor_info_t; |
| /** Get the info for a tensor */ |
| template <> |
| struct get_tensor_info_t<ITensorInfo *> |
| { |
| /** Get the info for a tensor. |
| * |
| * @param[in] tensor Tensor. |
| * |
| * @return tensor info. |
| */ |
| ITensorInfo *operator()(const ITensor *tensor) |
| { |
| return tensor->info(); |
| } |
| }; |
| } // namespace detail |
| |
| /** Create an error if one of the pointers is a nullptr. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] pointers Pointers to check against nullptr. |
| * |
| * @return Status |
| */ |
| template <typename... Ts> |
| inline arm_compute::Status error_on_nullptr(const char *function, const char *file, const int line, Ts &&... pointers) |
| { |
| const std::array<const void *, sizeof...(Ts)> pointers_array{ { std::forward<Ts>(pointers)... } }; |
| bool has_nullptr = std::any_of(pointers_array.begin(), pointers_array.end(), [&](const void *ptr) |
| { |
| return (ptr == nullptr); |
| }); |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(has_nullptr, function, file, line, "Nullptr object!"); |
| return arm_compute::Status{}; |
| } |
| #define ARM_COMPUTE_ERROR_ON_NULLPTR(...) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_nullptr(__func__, __FILE__, __LINE__, __VA_ARGS__)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(...) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(__func__, __FILE__, __LINE__, __VA_ARGS__)) |
| |
| /** Return an error if the passed window is invalid. |
| * |
| * The subwindow is invalid if: |
| * - It is not a valid window. |
| * - Its dimensions don't match the full window's ones |
| * - The step for each of its dimension is not identical to the corresponding one of the full window. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] full Full size window |
| * @param[in] win Window to validate. |
| * |
| * @return Status |
| */ |
| arm_compute::Status error_on_mismatching_windows(const char *function, const char *file, const int line, |
| const Window &full, const Window &win); |
| #define ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(f, w) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_mismatching_windows(__func__, __FILE__, __LINE__, f, w)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_WINDOWS(f, w) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_mismatching_windows(__func__, __FILE__, __LINE__, f, w)) |
| |
| /** Return an error if the passed subwindow is invalid. |
| * |
| * The subwindow is invalid if: |
| * - It is not a valid window. |
| * - It is not fully contained inside the full window |
| * - The step for each of its dimension is not identical to the corresponding one of the full window. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] full Full size window |
| * @param[in] sub Sub-window to validate. |
| * |
| * @return Status |
| */ |
| arm_compute::Status error_on_invalid_subwindow(const char *function, const char *file, const int line, |
| const Window &full, const Window &sub); |
| #define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_invalid_subwindow(__func__, __FILE__, __LINE__, f, s)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_INVALID_SUBWINDOW(f, s) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_invalid_subwindow(__func__, __FILE__, __LINE__, f, s)) |
| |
| /** Return an error if the window can't be collapsed at the given dimension. |
| * |
| * The window cannot be collapsed if the given dimension not equal to the full window's dimension or not start from 0. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] full Full size window |
| * @param[in] window Window to be collapsed. |
| * @param[in] dim Dimension need to be checked. |
| * |
| * @return Status |
| */ |
| arm_compute::Status error_on_window_not_collapsable_at_dimension(const char *function, const char *file, const int line, |
| const Window &full, const Window &window, const int dim); |
| #define ARM_COMPUTE_ERROR_ON_WINDOW_NOT_COLLAPSABLE_AT_DIMENSION(f, w, d) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_window_not_collapsable_at_dimension(__func__, __FILE__, __LINE__, f, w, d)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_WINDOW_NOT_COLLAPSABLE_AT_DIMENSION(f, w, d) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_window_not_collapsable_at_dimension(__func__, __FILE__, __LINE__, f, w, d)) |
| |
| /** Return an error if the passed coordinates have too many dimensions. |
| * |
| * The coordinates have too many dimensions if any of the dimensions greater or equal to max_dim is different from 0. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] pos Coordinates to validate |
| * @param[in] max_dim Maximum number of dimensions allowed. |
| * |
| * @return Status |
| */ |
| arm_compute::Status error_on_coordinates_dimensions_gte(const char *function, const char *file, const int line, |
| const Coordinates &pos, unsigned int max_dim); |
| #define ARM_COMPUTE_ERROR_ON_COORDINATES_DIMENSIONS_GTE(p, md) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_coordinates_dimensions_gte(__func__, __FILE__, __LINE__, p, md)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_COORDINATES_DIMENSIONS_GTE(p, md) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_coordinates_dimensions_gte(__func__, __FILE__, __LINE__, p, md)) |
| |
| /** Return an error if the passed window has too many dimensions. |
| * |
| * The window has too many dimensions if any of the dimension greater or equal to max_dim is different from 0. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] win Window to validate |
| * @param[in] max_dim Maximum number of dimensions allowed. |
| * |
| * @return Status |
| */ |
| arm_compute::Status error_on_window_dimensions_gte(const char *function, const char *file, const int line, |
| const Window &win, unsigned int max_dim); |
| #define ARM_COMPUTE_ERROR_ON_WINDOW_DIMENSIONS_GTE(w, md) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_window_dimensions_gte(__func__, __FILE__, __LINE__, w, md)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_WINDOW_DIMENSIONS_GTE(w, md) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_window_dimensions_gte(__func__, __FILE__, __LINE__, w, md)) |
| |
| /** Return an error if the passed dimension objects differ. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] dim1 The first object to be compared. |
| * @param[in] dim2 The second object to be compared. |
| * @param[in] dims (Optional) Further allowed objects. |
| * |
| * @return Status |
| */ |
| template <typename T, typename... Ts> |
| arm_compute::Status error_on_mismatching_dimensions(const char *function, const char *file, int line, |
| const Dimensions<T> &dim1, const Dimensions<T> &dim2, Ts &&... dims) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(detail::for_each_error(detail::compare_dimension<T>(dim1, function, file, line), dim2, std::forward<Ts>(dims)...)); |
| return arm_compute::Status{}; |
| } |
| #define ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(...) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_mismatching_dimensions(__func__, __FILE__, __LINE__, __VA_ARGS__)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(...) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_mismatching_dimensions(__func__, __FILE__, __LINE__, __VA_ARGS__)) |
| |
| /** Return an error if the passed tensor objects are not even. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] format Format to check if odd shape is allowed |
| * @param[in] tensor1 The first object to be compared for odd shape. |
| * @param[in] tensors (Optional) Further allowed objects. |
| * |
| * @return Status |
| */ |
| template <typename... Ts> |
| arm_compute::Status error_on_tensors_not_even(const char *function, const char *file, int line, |
| const Format &format, const ITensor *tensor1, Ts... tensors) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor1 == nullptr, function, file, line); |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(function, file, line, std::forward<Ts>(tensors)...)); |
| const std::array < const ITensor *, 1 + sizeof...(Ts) > tensors_info_array{ { tensor1, std::forward<Ts>(tensors)... } }; |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(std::any_of(tensors_info_array.cbegin(), tensors_info_array.cend(), [&](const ITensor * tensor) |
| { |
| const TensorShape correct_shape = adjust_odd_shape(tensor->info()->tensor_shape(), format); |
| return detail::have_different_dimensions(tensor->info()->tensor_shape(), correct_shape, 2); |
| }), |
| function, file, line, "Tensor shape has odd dimensions"); |
| return arm_compute::Status{}; |
| } |
| |
| #define ARM_COMPUTE_ERROR_ON_TENSORS_NOT_EVEN(...) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_tensors_not_even(__func__, __FILE__, __LINE__, __VA_ARGS__)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_TENSORS_NOT_EVEN(...) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_tensors_not_even(__func__, __FILE__, __LINE__, __VA_ARGS__)) |
| |
| /** Return an error if the passed tensor objects are not sub-sampled. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] format Format to check if sub-sampling allowed. |
| * @param[in] shape The tensor shape to calculate sub-sampling from. |
| * @param[in] tensor1 The first object to be compared. |
| * @param[in] tensors (Optional) Further allowed objects. |
| * |
| * @return Status |
| */ |
| template <typename... Ts> |
| arm_compute::Status error_on_tensors_not_subsampled(const char *function, const char *file, int line, |
| const Format &format, const TensorShape &shape, const ITensor *tensor1, Ts... tensors) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor1 == nullptr, function, file, line); |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(function, file, line, std::forward<Ts>(tensors)...)); |
| const TensorShape sub2_shape = calculate_subsampled_shape(shape, format); |
| const std::array < const ITensor *, 1 + sizeof...(Ts) > tensors_info_array{ { tensor1, std::forward<Ts>(tensors)... } }; |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(std::any_of(tensors_info_array.cbegin(), tensors_info_array.cend(), [&](const ITensor * tensor) |
| { |
| return detail::have_different_dimensions(tensor->info()->tensor_shape(), sub2_shape, 2); |
| }), |
| function, file, line, "Tensor shape has mismatch dimensions for sub-sampling"); |
| return arm_compute::Status{}; |
| } |
| |
| #define ARM_COMPUTE_ERROR_ON_TENSORS_NOT_SUBSAMPLED(...) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_tensors_not_subsampled(__func__, __FILE__, __LINE__, __VA_ARGS__)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_TENSORS_NOT_SUBSAMPLED(...) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_tensors_not_subsampled(__func__, __FILE__, __LINE__, __VA_ARGS__)) |
| |
| /** Return an error if the passed two tensor infos have different shapes from the given dimension |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] tensor_info_1 The first tensor info to be compared. |
| * @param[in] tensor_info_2 The second tensor info to be compared. |
| * @param[in] tensor_infos (Optional) Further allowed tensor infos. |
| * |
| * @return Status |
| */ |
| template <typename... Ts> |
| inline arm_compute::Status error_on_mismatching_shapes(const char *function, const char *file, const int line, |
| const ITensorInfo *tensor_info_1, const ITensorInfo *tensor_info_2, Ts... tensor_infos) |
| { |
| return error_on_mismatching_shapes(function, file, line, 0U, tensor_info_1, tensor_info_2, std::forward<Ts>(tensor_infos)...); |
| } |
| /** Return an error if the passed two tensors have different shapes from the given dimension |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] tensor_1 The first tensor to be compared. |
| * @param[in] tensor_2 The second tensor to be compared. |
| * @param[in] tensors (Optional) Further allowed tensors. |
| * |
| * @return Status |
| */ |
| template <typename... Ts> |
| inline arm_compute::Status error_on_mismatching_shapes(const char *function, const char *file, const int line, |
| const ITensor *tensor_1, const ITensor *tensor_2, Ts... tensors) |
| { |
| return error_on_mismatching_shapes(function, file, line, 0U, tensor_1, tensor_2, std::forward<Ts>(tensors)...); |
| } |
| /** Return an error if the passed two tensors have different shapes from the given dimension |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] upper_dim The dimension from which to check. |
| * @param[in] tensor_info_1 The first tensor info to be compared. |
| * @param[in] tensor_info_2 The second tensor info to be compared. |
| * @param[in] tensor_infos (Optional) Further allowed tensor infos. |
| * |
| * @return Status |
| */ |
| template <typename... Ts> |
| inline arm_compute::Status error_on_mismatching_shapes(const char *function, const char *file, const int line, |
| unsigned int upper_dim, const ITensorInfo *tensor_info_1, const ITensorInfo *tensor_info_2, Ts... tensor_infos) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_info_1 == nullptr, function, file, line); |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_info_2 == nullptr, function, file, line); |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(function, file, line, std::forward<Ts>(tensor_infos)...)); |
| |
| const std::array < const ITensorInfo *, 2 + sizeof...(Ts) > tensors_info_array{ { tensor_info_1, tensor_info_2, std::forward<Ts>(tensor_infos)... } }; |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(std::any_of(std::next(tensors_info_array.cbegin()), tensors_info_array.cend(), [&](const ITensorInfo * tensor_info) |
| { |
| return detail::have_different_dimensions((*tensors_info_array.cbegin())->tensor_shape(), tensor_info->tensor_shape(), upper_dim); |
| }), |
| function, file, line, "Tensors have different shapes"); |
| return arm_compute::Status{}; |
| } |
| /** Return an error if the passed two tensors have different shapes from the given dimension |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] upper_dim The dimension from which to check. |
| * @param[in] tensor_1 The first tensor to be compared. |
| * @param[in] tensor_2 The second tensor to be compared. |
| * @param[in] tensors (Optional) Further allowed tensors. |
| * |
| * @return Status |
| */ |
| template <typename... Ts> |
| inline arm_compute::Status error_on_mismatching_shapes(const char *function, const char *file, const int line, |
| unsigned int upper_dim, const ITensor *tensor_1, const ITensor *tensor_2, Ts... tensors) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_1 == nullptr, function, file, line); |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_2 == nullptr, function, file, line); |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(function, file, line, std::forward<Ts>(tensors)...)); |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_mismatching_shapes(function, file, line, upper_dim, tensor_1->info(), tensor_2->info(), |
| detail::get_tensor_info_t<ITensorInfo *>()(tensors)...)); |
| return arm_compute::Status{}; |
| } |
| #define ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(...) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_mismatching_shapes(__func__, __FILE__, __LINE__, __VA_ARGS__)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(...) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_mismatching_shapes(__func__, __FILE__, __LINE__, __VA_ARGS__)) |
| |
| /** Return an error if the passed tensor infos have different data layouts |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] tensor_info The first tensor info to be compared. |
| * @param[in] tensor_infos (Optional) Further allowed tensor infos. |
| * |
| * @return Status |
| */ |
| template <typename... Ts> |
| inline arm_compute::Status error_on_mismatching_data_layouts(const char *function, const char *file, const int line, |
| const ITensorInfo *tensor_info, Ts... tensor_infos) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_info == nullptr, function, file, line); |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(function, file, line, std::forward<Ts>(tensor_infos)...)); |
| |
| DataLayout &&tensor_data_layout = tensor_info->data_layout(); |
| const std::array<const ITensorInfo *, sizeof...(Ts)> tensors_infos_array{ { std::forward<Ts>(tensor_infos)... } }; |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(std::any_of(tensors_infos_array.begin(), tensors_infos_array.end(), [&](const ITensorInfo * tensor_info_obj) |
| { |
| return tensor_info_obj->data_layout() != tensor_data_layout; |
| }), |
| function, file, line, "Tensors have different data layouts"); |
| return arm_compute::Status{}; |
| } |
| /** Return an error if the passed tensors have different data layouts |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] tensor The first tensor to be compared. |
| * @param[in] tensors (Optional) Further allowed tensors. |
| * |
| * @return Status |
| */ |
| template <typename... Ts> |
| inline arm_compute::Status error_on_mismatching_data_layouts(const char *function, const char *file, const int line, |
| const ITensor *tensor, Ts... tensors) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor == nullptr, function, file, line); |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(function, file, line, std::forward<Ts>(tensors)...)); |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_mismatching_data_layouts(function, file, line, tensor->info(), |
| detail::get_tensor_info_t<ITensorInfo *>()(tensors)...)); |
| return arm_compute::Status{}; |
| } |
| #define ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_LAYOUT(...) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_mismatching_data_layouts(__func__, __FILE__, __LINE__, __VA_ARGS__)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(...) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_mismatching_data_layouts(__func__, __FILE__, __LINE__, __VA_ARGS__)) |
| |
| /** Return an error if the passed two tensor infos have different data types |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] tensor_info The first tensor info to be compared. |
| * @param[in] tensor_infos (Optional) Further allowed tensor infos. |
| * |
| * @return Status |
| */ |
| template <typename... Ts> |
| inline arm_compute::Status error_on_mismatching_data_types(const char *function, const char *file, const int line, |
| const ITensorInfo *tensor_info, Ts... tensor_infos) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_info == nullptr, function, file, line); |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(function, file, line, std::forward<Ts>(tensor_infos)...)); |
| |
| DataType &&tensor_data_type = tensor_info->data_type(); |
| const std::array<const ITensorInfo *, sizeof...(Ts)> tensors_infos_array{ { std::forward<Ts>(tensor_infos)... } }; |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(std::any_of(tensors_infos_array.begin(), tensors_infos_array.end(), [&](const ITensorInfo * tensor_info_obj) |
| { |
| return tensor_info_obj->data_type() != tensor_data_type; |
| }), |
| function, file, line, "Tensors have different data types"); |
| return arm_compute::Status{}; |
| } |
| /** Return an error if the passed two tensors have different data types |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] tensor The first tensor to be compared. |
| * @param[in] tensors (Optional) Further allowed tensors. |
| * |
| * @return Status |
| */ |
| template <typename... Ts> |
| inline arm_compute::Status error_on_mismatching_data_types(const char *function, const char *file, const int line, |
| const ITensor *tensor, Ts... tensors) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor == nullptr, function, file, line); |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(function, file, line, std::forward<Ts>(tensors)...)); |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_mismatching_data_types(function, file, line, tensor->info(), |
| detail::get_tensor_info_t<ITensorInfo *>()(tensors)...)); |
| return arm_compute::Status{}; |
| } |
| #define ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(...) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_mismatching_data_types(__func__, __FILE__, __LINE__, __VA_ARGS__)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(...) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_mismatching_data_types(__func__, __FILE__, __LINE__, __VA_ARGS__)) |
| |
| /** Return an error if the passed tensor infos have different asymmetric quantized data types or different quantization info |
| * |
| * @note: If the first tensor info doesn't have asymmetric quantized data type, the function returns without throwing an error |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] tensor_info_1 The first tensor info to be compared. |
| * @param[in] tensor_info_2 The second tensor info to be compared. |
| * @param[in] tensor_infos (Optional) Further allowed tensor infos. |
| * |
| * @return Status |
| */ |
| template <typename... Ts> |
| inline arm_compute::Status error_on_mismatching_quantization_info(const char *function, const char *file, const int line, |
| const ITensorInfo *tensor_info_1, const ITensorInfo *tensor_info_2, Ts... tensor_infos) |
| { |
| DataType &&first_data_type = tensor_info_1->data_type(); |
| const QuantizationInfo first_quantization_info = tensor_info_1->quantization_info(); |
| |
| if(!is_data_type_quantized(first_data_type)) |
| { |
| return arm_compute::Status{}; |
| } |
| |
| const std::array < const ITensorInfo *, 1 + sizeof...(Ts) > tensor_infos_array{ { tensor_info_2, std::forward<Ts>(tensor_infos)... } }; |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(std::any_of(tensor_infos_array.begin(), tensor_infos_array.end(), [&](const ITensorInfo * tensor_info) |
| { |
| return tensor_info->data_type() != first_data_type; |
| }), |
| function, file, line, "Tensors have different asymmetric quantized data types"); |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(std::any_of(tensor_infos_array.begin(), tensor_infos_array.end(), [&](const ITensorInfo * tensor_info) |
| { |
| return tensor_info->quantization_info() != first_quantization_info; |
| }), |
| function, file, line, "Tensors have different quantization information"); |
| |
| return arm_compute::Status{}; |
| } |
| /** Return an error if the passed tensor have different asymmetric quantized data types or different quantization info |
| * |
| * @note: If the first tensor doesn't have asymmetric quantized data type, the function returns without throwing an error |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] tensor_1 The first tensor to be compared. |
| * @param[in] tensor_2 The second tensor to be compared. |
| * @param[in] tensors (Optional) Further allowed tensors. |
| * |
| * @return Status |
| */ |
| template <typename... Ts> |
| inline arm_compute::Status error_on_mismatching_quantization_info(const char *function, const char *file, const int line, |
| const ITensor *tensor_1, const ITensor *tensor_2, Ts... tensors) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_mismatching_quantization_info(function, file, line, tensor_1->info(), tensor_2->info(), |
| detail::get_tensor_info_t<ITensorInfo *>()(tensors)...)); |
| return arm_compute::Status{}; |
| } |
| #define ARM_COMPUTE_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(...) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_mismatching_quantization_info(__func__, __FILE__, __LINE__, __VA_ARGS__)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(...) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_mismatching_quantization_info(__func__, __FILE__, __LINE__, __VA_ARGS__)) |
| |
| /** Throw an error if the format of the passed tensor/multi-image does not match any of the formats provided. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] object Tensor/multi-image to validate. |
| * @param[in] format First format allowed. |
| * @param[in] formats (Optional) Further allowed formats. |
| */ |
| template <typename T, typename F, typename... Fs> |
| void error_on_format_not_in(const char *function, const char *file, const int line, |
| const T *object, F &&format, Fs &&... formats) |
| { |
| ARM_COMPUTE_ERROR_ON_LOC(object == nullptr, function, file, line); |
| |
| Format &&object_format = object->info()->format(); |
| ARM_COMPUTE_UNUSED(object_format); |
| |
| ARM_COMPUTE_ERROR_ON_LOC(object_format == Format::UNKNOWN, function, file, line); |
| |
| const std::array<F, sizeof...(Fs)> formats_array{ { std::forward<Fs>(formats)... } }; |
| ARM_COMPUTE_UNUSED(formats_array); |
| |
| ARM_COMPUTE_ERROR_ON_LOC_MSG(object_format != format && std::none_of(formats_array.begin(), formats_array.end(), [&](const F & f) |
| { |
| return f == object_format; |
| }), |
| function, file, line, "Format %s not supported by this kernel", string_from_format(object_format).c_str()); |
| ARM_COMPUTE_UNUSED(function, format, file, line); |
| } |
| #define ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(t, ...) ::arm_compute::error_on_format_not_in(__func__, __FILE__, __LINE__, t, __VA_ARGS__) |
| |
| /** Return an error if the data type of the passed tensor info does not match any of the data types provided. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] tensor_info Tensor info to validate. |
| * @param[in] dt First data type allowed. |
| * @param[in] dts (Optional) Further allowed data types. |
| * |
| * @return Status |
| */ |
| template <typename T, typename... Ts> |
| inline arm_compute::Status error_on_data_type_not_in(const char *function, const char *file, const int line, |
| const ITensorInfo *tensor_info, T &&dt, Ts &&... dts) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_info == nullptr, function, file, line); |
| |
| const DataType &tensor_dt = tensor_info->data_type(); //NOLINT |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_dt == DataType::UNKNOWN, function, file, line); |
| |
| const std::array<T, sizeof...(Ts)> dts_array{ { std::forward<Ts>(dts)... } }; |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG_VAR(tensor_dt != dt && std::none_of(dts_array.begin(), dts_array.end(), [&](const T & d) |
| { |
| return d == tensor_dt; |
| }), |
| function, file, line, "ITensor data type %s not supported by this kernel", string_from_data_type(tensor_dt).c_str()); |
| return arm_compute::Status{}; |
| } |
| /** Return an error if the data type of the passed tensor does not match any of the data types provided. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] tensor Tensor to validate. |
| * @param[in] dt First data type allowed. |
| * @param[in] dts (Optional) Further allowed data types. |
| * |
| * @return Status |
| */ |
| template <typename T, typename... Ts> |
| inline arm_compute::Status error_on_data_type_not_in(const char *function, const char *file, const int line, |
| const ITensor *tensor, T &&dt, Ts &&... dts) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor == nullptr, function, file, line); |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_data_type_not_in(function, file, line, tensor->info(), std::forward<T>(dt), std::forward<Ts>(dts)...)); |
| return arm_compute::Status{}; |
| } |
| #define ARM_COMPUTE_ERROR_ON_DATA_TYPE_NOT_IN(t, ...) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_data_type_not_in(__func__, __FILE__, __LINE__, t, __VA_ARGS__)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(t, ...) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_data_type_not_in(__func__, __FILE__, __LINE__, t, __VA_ARGS__)) |
| |
| /** Return an error if the data layout of the passed tensor info does not match any of the data layouts provided. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] tensor_info Tensor info to validate. |
| * @param[in] dl First data layout allowed. |
| * @param[in] dls (Optional) Further allowed data layouts. |
| * |
| * @return Status |
| */ |
| template <typename T, typename... Ts> |
| inline arm_compute::Status error_on_data_layout_not_in(const char *function, const char *file, const int line, |
| const ITensorInfo *tensor_info, T &&dl, Ts &&... dls) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_info == nullptr, function, file, line); |
| |
| const DataLayout &tensor_dl = tensor_info->data_layout(); //NOLINT |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_dl == DataLayout::UNKNOWN, function, file, line); |
| |
| const std::array<T, sizeof...(Ts)> dls_array{ { std::forward<Ts>(dls)... } }; |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG_VAR(tensor_dl != dl && std::none_of(dls_array.begin(), dls_array.end(), [&](const T & l) |
| { |
| return l == tensor_dl; |
| }), |
| function, file, line, "ITensor data layout %s not supported by this kernel", string_from_data_layout(tensor_dl).c_str()); |
| return arm_compute::Status{}; |
| } |
| /** Return an error if the data layout of the passed tensor does not match any of the data layout provided. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] tensor Tensor to validate. |
| * @param[in] dl First data layout allowed. |
| * @param[in] dls (Optional) Further allowed data layouts. |
| * |
| * @return Status |
| */ |
| template <typename T, typename... Ts> |
| inline arm_compute::Status error_on_data_layout_not_in(const char *function, const char *file, const int line, |
| const ITensor *tensor, T &&dl, Ts &&... dls) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor == nullptr, function, file, line); |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_data_layout_not_in(function, file, line, tensor->info(), std::forward<T>(dl), std::forward<Ts>(dls)...)); |
| return arm_compute::Status{}; |
| } |
| #define ARM_COMPUTE_ERROR_ON_DATA_LAYOUT_NOT_IN(t, ...) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_data_layout_not_in(__func__, __FILE__, __LINE__, t, __VA_ARGS__)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_DATA_LAYOUT_NOT_IN(t, ...) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_data_layout_not_in(__func__, __FILE__, __LINE__, t, __VA_ARGS__)) |
| |
| /** Return an error if the data type or the number of channels of the passed tensor info does not match any of the data types and number of channels provided. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] tensor_info Tensor info to validate. |
| * @param[in] num_channels Number of channels to check |
| * @param[in] dt First data type allowed. |
| * @param[in] dts (Optional) Further allowed data types. |
| * |
| * @return Status |
| */ |
| template <typename T, typename... Ts> |
| inline arm_compute::Status error_on_data_type_channel_not_in(const char *function, const char *file, const int line, |
| const ITensorInfo *tensor_info, size_t num_channels, T &&dt, Ts &&... dts) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_data_type_not_in(function, file, line, tensor_info, std::forward<T>(dt), std::forward<Ts>(dts)...)); |
| const size_t tensor_nc = tensor_info->num_channels(); |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG_VAR(tensor_nc != num_channels, function, file, line, "Number of channels %zu. Required number of channels %zu", tensor_nc, num_channels); |
| return arm_compute::Status{}; |
| } |
| /** Return an error if the data type or the number of channels of the passed tensor does not match any of the data types and number of channels provided. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] tensor Tensor to validate. |
| * @param[in] num_channels Number of channels to check |
| * @param[in] dt First data type allowed. |
| * @param[in] dts (Optional) Further allowed data types. |
| * |
| * @return Status |
| */ |
| template <typename T, typename... Ts> |
| inline arm_compute::Status error_on_data_type_channel_not_in(const char *function, const char *file, const int line, |
| const ITensor *tensor, size_t num_channels, T &&dt, Ts &&... dts) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor == nullptr, function, file, line); |
| ARM_COMPUTE_RETURN_ON_ERROR(error_on_data_type_channel_not_in(function, file, line, tensor->info(), num_channels, std::forward<T>(dt), std::forward<Ts>(dts)...)); |
| return arm_compute::Status{}; |
| } |
| #define ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(t, c, ...) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_data_type_channel_not_in(__func__, __FILE__, __LINE__, t, c, __VA_ARGS__)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(t, c, ...) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_data_type_channel_not_in(__func__, __FILE__, __LINE__, t, c, __VA_ARGS__)) |
| |
| /** Return an error if the data type of the passed tensor info is FP16 and FP16 extension is not supported by the device. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] tensor_info Tensor info to validate. |
| * @param[in] is_fp16_supported Is fp16 supported by the device. |
| * |
| * @return Status |
| */ |
| inline arm_compute::Status error_on_unsupported_fp16(const char *function, const char *file, const int line, |
| const ITensorInfo *tensor_info, bool is_fp16_supported) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_info == nullptr, function, file, line); |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG((tensor_info->data_type() == DataType::F16 && !is_fp16_supported), |
| function, file, line, "FP16 not supported by the device"); |
| return arm_compute::Status{}; |
| } |
| |
| /** Return an error if the data type of the passed tensor is FP16 and FP16 extension is not supported by the device. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] tensor Tensor to validate. |
| * @param[in] is_fp16_supported Is fp16 supported by the device. |
| * |
| * @return Status |
| */ |
| inline arm_compute::Status error_on_unsupported_fp16(const char *function, const char *file, const int line, |
| const ITensor *tensor, bool is_fp16_supported) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor == nullptr, function, file, line); |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_unsupported_fp16(function, file, line, tensor->info(), is_fp16_supported)); |
| return arm_compute::Status{}; |
| } |
| |
| /** Return an error if the tensor is not 2D. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] tensor Tensor to validate. |
| * |
| * @return Status |
| */ |
| arm_compute::Status error_on_tensor_not_2d(const char *function, const char *file, const int line, |
| const ITensor *tensor); |
| |
| /** Return an error if the tensor info is not 2D. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] tensor Tensor info to validate. |
| * |
| * @return Status |
| */ |
| arm_compute::Status error_on_tensor_not_2d(const char *function, const char *file, const int line, |
| const ITensorInfo *tensor); |
| |
| #define ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(t) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_tensor_not_2d(__func__, __FILE__, __LINE__, t)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_TENSOR_NOT_2D(t) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_tensor_not_2d(__func__, __FILE__, __LINE__, t)) |
| |
| /** Return an error if the channel is not in channels. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] cn Input channel |
| * @param[in] channel First channel allowed. |
| * @param[in] channels (Optional) Further allowed channels. |
| * |
| * @return Status |
| */ |
| template <typename T, typename... Ts> |
| inline arm_compute::Status error_on_channel_not_in(const char *function, const char *file, const int line, |
| T cn, T &&channel, Ts &&... channels) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC(cn == Channel::UNKNOWN, function, file, line); |
| |
| const std::array<T, sizeof...(Ts)> channels_array{ { std::forward<Ts>(channels)... } }; |
| ARM_COMPUTE_RETURN_ERROR_ON_LOC(channel != cn && std::none_of(channels_array.begin(), channels_array.end(), [&](const T & f) |
| { |
| return f == cn; |
| }), |
| function, file, line); |
| return arm_compute::Status{}; |
| } |
| #define ARM_COMPUTE_ERROR_ON_CHANNEL_NOT_IN(c, ...) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_channel_not_in(__func__, __FILE__, __LINE__, c, __VA_ARGS__)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_CHANNEL_NOT_IN(c, ...) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_channel_not_in(__func__, __FILE__, __LINE__, c, __VA_ARGS__)) |
| |
| /** Return an error if the channel is not in format. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] fmt Input channel |
| * @param[in] cn First channel allowed. |
| * |
| * @return Status |
| */ |
| arm_compute::Status error_on_channel_not_in_known_format(const char *function, const char *file, const int line, |
| Format fmt, Channel cn); |
| #define ARM_COMPUTE_ERROR_ON_CHANNEL_NOT_IN_KNOWN_FORMAT(f, c) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_channel_not_in_known_format(__func__, __FILE__, __LINE__, f, c)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_CHANNEL_NOT_IN_KNOWN_FORMAT(f, c) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_channel_not_in_known_format(__func__, __FILE__, __LINE__, f, c)) |
| |
| /** Return an error if the @ref IMultiHOG container is invalid |
| * |
| * An @ref IMultiHOG container is invalid if: |
| * |
| * -# it is a nullptr |
| * -# it doesn't contain models |
| * -# it doesn't have the HOG data objects with the same phase_type, normalization_type and l2_hyst_threshold (if normalization_type == L2HYS_NORM) |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] multi_hog IMultiHOG container to validate |
| * |
| * @return Status |
| */ |
| arm_compute::Status error_on_invalid_multi_hog(const char *function, const char *file, const int line, |
| const IMultiHOG *multi_hog); |
| #define ARM_COMPUTE_ERROR_ON_INVALID_MULTI_HOG(m) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_invalid_multi_hog(__func__, __FILE__, __LINE__, m)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_INVALID_MULTI_HOG(m) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_invalid_multi_hog(__func__, __FILE__, __LINE__, m)) |
| |
| /** Return an error if the kernel is not configured. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] kernel Kernel to validate. |
| * |
| * @return Status |
| */ |
| arm_compute::Status error_on_unconfigured_kernel(const char *function, const char *file, const int line, |
| const IKernel *kernel); |
| #define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_unconfigured_kernel(__func__, __FILE__, __LINE__, k)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_UNCONFIGURED_KERNEL(k) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_unconfigured_kernel(__func__, __FILE__, __LINE__, k)) |
| |
| /** Return an error if if the coordinates and shape of the subtensor are within the parent tensor. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] parent_shape Parent tensor shape |
| * @param[in] coords Coordinates inside the parent tensor where the first element of the subtensor is |
| * @param[in] shape Shape of the subtensor |
| * |
| * @return Status |
| */ |
| arm_compute::Status error_on_invalid_subtensor(const char *function, const char *file, const int line, |
| const TensorShape &parent_shape, const Coordinates &coords, const TensorShape &shape); |
| #define ARM_COMPUTE_ERROR_ON_INVALID_SUBTENSOR(p, c, s) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_invalid_subtensor(__func__, __FILE__, __LINE__, p, c, s)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_INVALID_SUBTENSOR(p, c, s) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_invalid_subtensor(__func__, __FILE__, __LINE__, p, c, s)) |
| |
| /** Return an error if the valid region of a subtensor is not inside the valid region of the parent tensor. |
| * |
| * @param[in] function Function in which the error occurred. |
| * @param[in] file Name of the file where the error occurred. |
| * @param[in] line Line on which the error occurred. |
| * @param[in] parent_valid_region Parent valid region. |
| * @param[in] valid_region Valid region of subtensor. |
| * |
| * @return Status |
| */ |
| arm_compute::Status error_on_invalid_subtensor_valid_region(const char *function, const char *file, const int line, |
| const ValidRegion &parent_valid_region, const ValidRegion &valid_region); |
| #define ARM_COMPUTE_ERROR_ON_INVALID_SUBTENSOR_VALID_REGION(pv, sv) \ |
| ARM_COMPUTE_ERROR_THROW_ON(::arm_compute::error_on_invalid_subtensor_valid_region(__func__, __FILE__, __LINE__, pv, sv)) |
| #define ARM_COMPUTE_RETURN_ERROR_ON_INVALID_SUBTENSOR_VALID_REGION(pv, sv) \ |
| ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_invalid_subtensor_valid_region(__func__, __FILE__, __LINE__, pv, sv)) |
| } |
| #endif /* ARM_COMPUTE_VALIDATE_H*/ |
