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-rw-r--r--src/core/cpu/kernels/CpuConcatenateBatchKernel.cpp216
1 files changed, 0 insertions, 216 deletions
diff --git a/src/core/cpu/kernels/CpuConcatenateBatchKernel.cpp b/src/core/cpu/kernels/CpuConcatenateBatchKernel.cpp
deleted file mode 100644
index 5df5ac3dd0..0000000000
--- a/src/core/cpu/kernels/CpuConcatenateBatchKernel.cpp
+++ /dev/null
@@ -1,216 +0,0 @@
-/*
- * Copyright (c) 2019-2021 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/CpuConcatenateBatchKernel.h"
-
-#include "arm_compute/core/Error.h"
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/ITensor.h"
-#include "arm_compute/core/TensorInfo.h"
-#include "arm_compute/core/Utils.h"
-#include "arm_compute/core/Validate.h"
-#include "arm_compute/core/Window.h"
-#include "src/core/NEON/NEAsymm.h"
-#include "src/core/NEON/wrapper/wrapper.h"
-#include "src/core/helpers/AutoConfiguration.h"
-#include "src/core/helpers/WindowHelpers.h"
-
-namespace arm_compute
-{
-namespace cpu
-{
-namespace kernels
-{
-namespace
-{
-template <typename T>
-void batch_concat(const ITensor *src, ITensor *dst, unsigned int batch_offset, const Window &window)
-{
- // Offset src
- uint8_t *src_ptr = src->buffer() + src->info()->offset_first_element_in_bytes();
-
- // Offset dst
- uint8_t *dst_ptr = dst->buffer() + dst->info()->offset_first_element_in_bytes() + batch_offset * dst->info()->strides_in_bytes()[3];
-
- const auto window_start_x = static_cast<int>(window.x().start());
- const auto window_end_x = static_cast<int>(window.x().end());
- const int window_step_x = 16 / dst->info()->element_size();
-
- Window win{ window };
- win.set(Window::DimX, Window::Dimension(0, 1, 1));
- win.set(3, Window::Dimension(0, src->info()->tensor_shape()[3], 1));
-
- Iterator src_it(src, win);
- Iterator dst_it(dst, win);
-
- const DataType dt = src->info()->data_type();
- const UniformQuantizationInfo src_qinfo = src->info()->quantization_info().uniform();
- const UniformQuantizationInfo dst_qinfo = dst->info()->quantization_info().uniform();
- if(dt == DataType::QASYMM8 && src_qinfo != dst_qinfo)
- {
- execute_window_loop(win, [&](const Coordinates &)
- {
- const auto in_ptr = reinterpret_cast<const uint8_t *>(src_ptr + src_it.offset());
- const auto out_ptr = reinterpret_cast<uint8_t *>(dst_ptr + dst_it.offset());
-
- int x = window_start_x;
- for(; x <= (window_end_x - window_step_x); x += window_step_x)
- {
- wrapper::vstore(out_ptr, vquantize(vdequantize(wrapper::vloadq(in_ptr), src_qinfo), dst_qinfo));
- }
-
- // Compute left-over elements
- for(; x < window_end_x; ++x)
- {
- *(out_ptr + x) = quantize_qasymm8(dequantize_qasymm8(*(in_ptr + x), src_qinfo), dst_qinfo);
- }
- },
- src_it, dst_it);
- }
- else if(dt == DataType::QASYMM8_SIGNED && src_qinfo != dst_qinfo)
- {
- execute_window_loop(win, [&](const Coordinates &)
- {
- const auto in_ptr = reinterpret_cast<const int8_t *>(src_ptr + src_it.offset());
- const auto out_ptr = reinterpret_cast<int8_t *>(dst_ptr + dst_it.offset());
- int x = window_start_x;
- for(; x <= (window_end_x - window_step_x); x += window_step_x)
- {
- wrapper::vstore(out_ptr, vquantize_signed(vdequantize(wrapper::vloadq(in_ptr), src_qinfo), dst_qinfo));
- }
- // Compute left-over elements
- for(; x < window_end_x; ++x)
- {
- *(out_ptr + x) = quantize_qasymm8_signed(dequantize_qasymm8_signed(*(in_ptr + x), src_qinfo), dst_qinfo);
- }
- },
- src_it, dst_it);
- }
- else
- {
- execute_window_loop(win, [&](const Coordinates &)
- {
- const auto in_ptr = reinterpret_cast<const T *>(src_ptr + src_it.offset());
- const auto out_ptr = reinterpret_cast<T *>(dst_ptr + dst_it.offset());
-
- int x = window_start_x;
- for(; x <= (window_end_x - window_step_x); x += window_step_x)
- {
- wrapper::vstore(out_ptr + x, wrapper::vloadq(in_ptr + x));
- }
-
- // Compute left-over elements
- for(; x < window_end_x; ++x)
- {
- *(out_ptr + x) = *(in_ptr + x);
- }
- },
- src_it, dst_it);
- }
-}
-
-Status validate_arguments(const ITensorInfo *src, unsigned int batch_offset, const ITensorInfo *dst)
-{
- ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst);
- //Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(src) is not needed here as this kernel doesn't use CPU FP16 instructions.
- ARM_COMPUTE_RETURN_ERROR_ON(src->data_type() == DataType::UNKNOWN);
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst);
-
- ARM_COMPUTE_RETURN_ERROR_ON(src->dimension(Window::DimX) != dst->dimension(Window::DimX));
- ARM_COMPUTE_RETURN_ERROR_ON(src->dimension(Window::DimY) != dst->dimension(Window::DimY));
- ARM_COMPUTE_RETURN_ERROR_ON(src->dimension(Window::DimZ) != dst->dimension(Window::DimZ));
- ARM_COMPUTE_RETURN_ERROR_ON(src->dimension(3) + batch_offset > dst->dimension(3));
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(4, src, dst);
-
- return Status{};
-}
-} // namespace
-
-CpuConcatenateBatchKernel::CpuConcatenateBatchKernel()
- : _func(nullptr), _batch_offset(0)
-{
-}
-
-void CpuConcatenateBatchKernel::configure(const ITensorInfo *src, unsigned int batch_offset, ITensorInfo *dst)
-{
- ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
- ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, batch_offset, dst));
-
- _func = nullptr;
- _batch_offset = batch_offset;
-
- switch(src->data_type())
- {
- case DataType::S8:
- case DataType::U8:
- case DataType::QASYMM8:
- case DataType::QASYMM8_SIGNED:
- _func = &batch_concat<uint8_t>;
- break;
- case DataType::S16:
- case DataType::U16:
- case DataType::F16:
- _func = &batch_concat<uint16_t>;
- break;
- case DataType::S32:
- case DataType::U32:
- case DataType::F32:
- _func = &batch_concat<uint32_t>;
- break;
- default:
- ARM_COMPUTE_ERROR("Unsupported data type.");
- }
-
- // Configure kernel window
- Window win = calculate_max_window(*dst, Steps());
- ICpuKernel::configure(win);
-}
-
-Status CpuConcatenateBatchKernel::validate(const arm_compute::ITensorInfo *src,
- unsigned int batch_offset,
- const arm_compute::ITensorInfo *dst)
-{
- ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, batch_offset, dst));
- return Status{};
-}
-
-void CpuConcatenateBatchKernel::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(ICpuKernel::window(), window);
- ARM_COMPUTE_ERROR_ON(_func == nullptr);
-
- (*_func)(tensors.get_const_tensor(TensorType::ACL_SRC),
- tensors.get_tensor(TensorType::ACL_DST),
- _batch_offset,
- window);
-}
-
-const char *CpuConcatenateBatchKernel::name() const
-{
- return "CpuConcatenateBatchKernel";
-}
-} // namespace kernels
-} // namespace cpu
-} // namespace arm_compute