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authorGunes Bayir <gunes.bayir@arm.com>2024-02-07 15:34:45 +0000
committerGunes Bayir <gunes.bayir@arm.com>2024-02-09 15:59:45 +0000
commit0ee13afc4429411de9a05ba4c2ff8a580784b568 (patch)
treec9ee1acf684d52b92ffb7500b0b65eee8377ce45 /compute_kernel_writer/prototype/include/ckw/TensorInfo.h
parenta3e1b50588b89a2c0c67da2679728a422fc16402 (diff)
downloadComputeLibrary-0ee13afc4429411de9a05ba4c2ff8a580784b568.tar.gz
Remove CKW prototype and Template Writer
Gpu code in dynamic fusion is now written by stable CKW. We do not need CKW protoype and the older writer implementation, i.e. TemplateWriter. It also removes the need for the flag -DACL_INTERNAL_TEST_CKW_IN_DF to compile and test dynamic fusion operator. Resolves: COMPMID-6715 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Change-Id: I9f9453311e79d9be612bd4754240d832f98503e8 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11116 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'compute_kernel_writer/prototype/include/ckw/TensorInfo.h')
-rw-r--r--compute_kernel_writer/prototype/include/ckw/TensorInfo.h153
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 */