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Diffstat (limited to 'compute_kernel_writer/prototype/include/ckw/TensorInfo.h')
| -rw-r--r-- | compute_kernel_writer/prototype/include/ckw/TensorInfo.h | 153 |
1 files changed, 0 insertions, 153 deletions
diff --git a/compute_kernel_writer/prototype/include/ckw/TensorInfo.h b/compute_kernel_writer/prototype/include/ckw/TensorInfo.h deleted file mode 100644 index 24da7dc8ab..0000000000 --- a/compute_kernel_writer/prototype/include/ckw/TensorInfo.h +++ /dev/null @@ -1,153 +0,0 @@ -/* - * Copyright (c) 2023 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 CKW_PROTOTYPE_INCLUDE_CKW_TENSORINFO_H -#define CKW_PROTOTYPE_INCLUDE_CKW_TENSORINFO_H - -#include "ckw/types/DataType.h" - -#include <array> -#include <cstdint> - -namespace ckw -{ -/** Compute Kernel Writer tensor data layout (or memory format) */ -enum class TensorDataLayout -{ - Unknown, - Nhwc, - Ndhwc -}; - -/** Compute Kernel Writer tensor data layout component */ -enum class TensorDataLayoutComponent -{ - Unknown, - N, - D, - H, - W, - C, -}; - -/** Compute Kernel Writer tensor component bitmask. The bitmask can be used to retrieve - * the info from @ref TensorComponent. - */ -enum class TensorComponentBitmask : uint32_t -{ - OffsetFirstElement = 0x01000000, // For example, OffsetFirstElement in @ref TensorComponent - Stride = 0x02000000, // For example, stride0 in @ref TensorComponent - Dimension = 0x04000000, // For example, Dim0 in @ref TensorComponent - FoldedDimensions = 0x08000000, // For example, Dim0xDim1 in @ref TensorComponent -}; - -/** Compute Kernel Writer tensor component. The tensor components are used to access specific backend-agnostic tensor arguments, - * such as the tensor dimensions and tensor strides. - * The data type is represented as an integer. The value of the integer value - * is assigned to retrieve the information through the @ref TensorComponentBitmask. - */ -enum class TensorComponentType : uint32_t -{ - Unknown = 0x00000000, - OffsetFirstElement = 0x01000000, - Stride0 = 0x02000001, - Stride1 = 0x02000010, - Stride2 = 0x02000100, - Stride3 = 0x02001000, - Stride4 = 0x02010000, - Dim0 = 0x04000001, - Dim1 = 0x04000010, - Dim2 = 0x04000100, - Dim3 = 0x04001000, - Dim4 = 0x04010000, - Dim1xDim2 = 0x08000110, - Dim2xDim3 = 0x08001100, - Dim1xDim2xDim3 = 0x08001110 -}; - -/** Compute Kernel Writer tensor storage. The tensor storage represents the type of tensor memory object. - */ -enum class TensorStorageType : uint32_t -{ - Unknown = 0x00000000, - BufferUint8Ptr = 0x01000000, - Texture2dReadOnly = 0x02000001, - Texture2dWriteOnly = 0x02000010, -}; - -/** Compute Kernel Writer tensor shape - * Negative dimensions can be interpreted as dynamic dimensions by the Compute Kernel Writer - */ -using TensorShape = std::array<int32_t, 5>; - -/** Compute Kernel Writer tensor info */ -class TensorInfo -{ -public: - /** Constructor - * - * @param[in] dt Tensor data type - * @param[in] shape Tensor shape - * @param[in] dl Tensor data layout - * @param[in] id Tensor id. The id is used to keep track of the bound user tensor. Through the id, - * the user can know what tensor has been used by the Compute Kernel Writer. - * Possible id values: - * - greater than or equal to 0: bind a user specific tensors - * - less than 0: bind a virtual tensor (tile) - */ - TensorInfo(DataType dt, const TensorShape &shape, TensorDataLayout dl, int32_t id); - - /** Set shape */ - TensorInfo &shape(const TensorShape &shape); - - /** Get shape */ - TensorShape shape() const; - - /** Set data type */ - TensorInfo &data_type(DataType dt); - - /** Get data type */ - DataType data_type() const; - - /** Set data layout */ - TensorInfo &data_layout(TensorDataLayout dl); - - /** Get data layout */ - TensorDataLayout data_layout() const; - - /** Set id */ - TensorInfo &id(int32_t id); - - /** Get layout */ - int32_t id() const; - -private: - TensorShape _shape{{0}}; - DataType _dt{DataType::Unknown}; - TensorDataLayout _dl{TensorDataLayout::Unknown}; - int32_t _id{-1}; -}; -} // namespace ckw - -#endif /* CKW_PROTOTYPE_INCLUDE_CKW_TENSORINFO_H */ |