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-rw-r--r--src/cpu/kernels/CpuConcatenateDepthKernel.cpp217
1 files changed, 217 insertions, 0 deletions
diff --git a/src/cpu/kernels/CpuConcatenateDepthKernel.cpp b/src/cpu/kernels/CpuConcatenateDepthKernel.cpp
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+++ b/src/cpu/kernels/CpuConcatenateDepthKernel.cpp
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+/*
+ * Copyright (c) 2017-2021 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/cpu/kernels/CpuConcatenateDepthKernel.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/helpers/AutoConfiguration.h"
+#include "src/core/helpers/WindowHelpers.h"
+#include "src/core/NEON/NEAsymm.h"
+#include "src/core/NEON/NEFixedPoint.h"
+#include "src/core/NEON/wrapper/wrapper.h"
+
+#include <cstdint>
+
+namespace arm_compute
+{
+namespace cpu
+{
+namespace kernels
+{
+namespace
+{
+template <typename T>
+void depth_concat(const ITensor *src, ITensor *dst, unsigned int depth_offset, const Window &window)
+{
+ // Offset source
+ uint8_t *src_ptr = src->buffer() + src->info()->offset_first_element_in_bytes();
+
+ // Offset destination
+ uint8_t *dst_ptr = dst->buffer() + dst->info()->offset_first_element_in_bytes() +
+ depth_offset * dst->info()->strides_in_bytes()[2];
+
+ 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(Window::DimZ, Window::Dimension(0, src->info()->tensor_shape().z(), 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 + x,
+ vquantize(vdequantize(wrapper::vloadq(in_ptr + x), 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 + x,
+ vquantize_signed(vdequantize(wrapper::vloadq(in_ptr + x), 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 *input, unsigned int depth_offset, const ITensorInfo *output)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
+ //Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input) is not needed here as this kernel doesn't use CPU FP16 instructions.
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED,
+ DataType::F16, DataType::F32);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
+
+ ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(Window::DimX) != output->dimension(Window::DimX));
+ ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(Window::DimY) != output->dimension(Window::DimY));
+ ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(2) + depth_offset > output->dimension(2));
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(3, input, output);
+
+ return Status{};
+}
+} // namespace
+
+void CpuConcatenateDepthKernel::configure(const ITensorInfo *src, unsigned int depth_offset, ITensorInfo *dst)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
+ ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, depth_offset, dst));
+
+ _func = nullptr;
+ _depth_offset = depth_offset;
+
+ switch (src->data_type())
+ {
+ case DataType::QASYMM8:
+ _func = &depth_concat<uint8_t>;
+ break;
+ case DataType::QASYMM8_SIGNED:
+ _func = &depth_concat<int8_t>;
+ break;
+ case DataType::F16:
+ _func = &depth_concat<uint16_t>;
+ break;
+ case DataType::F32:
+ _func = &depth_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 CpuConcatenateDepthKernel::validate(const arm_compute::ITensorInfo *src,
+ unsigned int depth_offset,
+ const arm_compute::ITensorInfo *dst)
+{
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, depth_offset, dst));
+ return Status{};
+}
+
+void CpuConcatenateDepthKernel::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), _depth_offset,
+ window);
+}
+
+const char *CpuConcatenateDepthKernel::name() const
+{
+ return "CpuConcatenateDepthKernel";
+}
+} // namespace kernels
+} // namespace cpu
+} // namespace arm_compute