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Diffstat (limited to 'src/core/cpu/kernels/CpuGemmTranspose1xWKernel.cpp')
-rw-r--r--src/core/cpu/kernels/CpuGemmTranspose1xWKernel.cpp137
1 files changed, 0 insertions, 137 deletions
diff --git a/src/core/cpu/kernels/CpuGemmTranspose1xWKernel.cpp b/src/core/cpu/kernels/CpuGemmTranspose1xWKernel.cpp
deleted file mode 100644
index 4b059f57cb..0000000000
--- a/src/core/cpu/kernels/CpuGemmTranspose1xWKernel.cpp
+++ /dev/null
@@ -1,137 +0,0 @@
-/*
- * 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 "src/core/cpu/kernels/CpuGemmTranspose1xWKernel.h"
-
-#include "arm_compute/core/ITensor.h"
-#include "arm_compute/core/Validate.h"
-#include "arm_compute/core/Window.h"
-#include "arm_compute/core/utils/misc/ShapeCalculator.h"
-#include "src/core/helpers/AutoConfiguration.h"
-#include "src/core/helpers/WindowHelpers.h"
-
-#include <arm_neon.h>
-
-namespace arm_compute
-{
-namespace cpu
-{
-namespace kernels
-{
-using namespace arm_compute::misc::shape_calculator;
-
-void CpuGemmTranspose1xWKernel::configure(const ITensorInfo *src, ITensorInfo *dst)
-{
- ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
-
- // Output tensor auto inizialitation if not yet initialized
- auto_init_if_empty(*dst, src->clone()->set_tensor_shape(compute_transpose1xW_with_element_size_shape(*src)));
-
- // Perform validate step
- ARM_COMPUTE_ERROR_THROW_ON(CpuGemmTranspose1xWKernel::validate(src, dst));
-
- const size_t vector_size = 16 / src->element_size();
-
- // Configure kernel window
- Window win = calculate_max_window(*src, Steps(vector_size));
- ICPPKernel::configure(win);
-}
-
-Status CpuGemmTranspose1xWKernel::validate(const ITensorInfo *src, const ITensorInfo *dst)
-{
- ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src);
- ARM_COMPUTE_RETURN_ERROR_ON(src->data_type() == DataType::UNKNOWN);
- //Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(src) is not needed here as this kernel doesn't use CPU FP16 instructions.
-
- if(dst->total_size() != 0)
- {
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(dst->tensor_shape(), compute_transpose1xW_with_element_size_shape(*src));
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst);
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(src, dst);
- }
-
- return Status{};
-}
-
-void CpuGemmTranspose1xWKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info)
-{
- ARM_COMPUTE_UNUSED(info);
- ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
- ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
- ARM_COMPUTE_ERROR_ON(tensors.empty());
-
- /*
- * Following an example of how the transposition1xW works when the src data type is F32
- *
- * |a00 a01 a02 a03|
- * |a10 a11 a12 a13|
- * |a20 a21 a22 a23| = | a00 a01 a02 a03 || a10 a11 a12 a13 || a20 a21 a22 a23 || a30 a31 a32 a33 |
- * |a30 a31 a32 a33|
- *
- * The dst matrix will have the following shape: [ height * W, ceil(width / W) ], where W = (16 / element size of the tensor)
- */
-
- // Set window for dst tensor. Set to 0 the X and Y dimensions in order to allow multi-threading implementation and future batched matrix multiplications
- Window win_out(window);
- win_out.set(Window::DimX, Window::Dimension(0, 0, 0));
- win_out.set(Window::DimY, Window::Dimension(0, 0, 0));
-
- const ITensor *src = tensors.get_const_tensor(TensorType::ACL_SRC);
- ITensor *dst = tensors.get_tensor(TensorType::ACL_DST);
-
- Iterator in(src, window);
- Iterator out(dst, win_out);
-
- const size_t in_width = src->info()->dimension(0);
- const size_t element_size = src->info()->element_size();
- const size_t out_stride = dst->info()->strides_in_bytes()[1];
- const size_t vector_size = 16 / element_size;
-
- execute_window_loop(window, [&](const Coordinates & id)
- {
- const uint8_t *in_ptr = in.ptr();
- uint8_t *const out_ptr = out.ptr() + (id.y() * vector_size) * element_size + (id.x() / vector_size) * out_stride;
-
- for(size_t k = 0; k < vector_size; ++k)
- {
- // If the src width is not multiple of W, we fill the reference with 0s
- if((id.x() + k) >= in_width)
- {
- std::memset(out_ptr + k * element_size, 0, element_size);
- }
- else
- {
- std::memcpy(out_ptr + k * element_size, in_ptr + k * element_size, element_size);
- }
- }
- },
- in, out);
-}
-
-const char *CpuGemmTranspose1xWKernel::name() const
-{
- return "CpuGemmTranspose1xWKernel";
-}
-} // namespace kernels
-} // namespace cpu
-} // namespace arm_compute