aboutsummaryrefslogtreecommitdiff
path: root/src/core
diff options
context:
space:
mode:
authorLuca Foschiani <luca.foschiani@arm.com>2020-02-17 17:02:49 +0000
committerLuca Foschiani <luca.foschiani@arm.com>2020-04-07 09:04:19 +0000
commitfedefc3a8d76b9dea5945414324427ef5a01835d (patch)
treeb2a2f6ab45d8a16ab26b5a99c832a18e207899aa /src/core
parent0d008f77b0085619c446d0ab5dc1228a80776706 (diff)
downloadComputeLibrary-fedefc3a8d76b9dea5945414324427ef5a01835d.tar.gz
COMPMID-2765 Add support for QASYMM8_SIGNED in NEDeconvolutionLayer
Signed-off-by: Luca Foschiani <luca.foschiani@arm.com> Change-Id: I8295fadee15311a9ab846aa24c031b82c0b799eb Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com> Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2952 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Sheri Zhang <sheri.zhang@arm.com>
Diffstat (limited to 'src/core')
-rw-r--r--src/core/CPP/kernels/CPPFlipWeightsKernel.cpp113
-rw-r--r--src/core/NEON/kernels/NEReverseKernel.cpp69
2 files changed, 23 insertions, 159 deletions
diff --git a/src/core/CPP/kernels/CPPFlipWeightsKernel.cpp b/src/core/CPP/kernels/CPPFlipWeightsKernel.cpp
deleted file mode 100644
index 2d4c0ce5c8..0000000000
--- a/src/core/CPP/kernels/CPPFlipWeightsKernel.cpp
+++ /dev/null
@@ -1,113 +0,0 @@
-/*
- * Copyright (c) 2018 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 "arm_compute/core/CPP/kernels/CPPFlipWeightsKernel.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/Types.h"
-#include "arm_compute/core/Validate.h"
-#include "arm_compute/core/utils/misc/ShapeCalculator.h"
-
-#include <cstddef>
-#include <cstdint>
-
-using namespace arm_compute;
-
-CPPFlipWeightsKernel::CPPFlipWeightsKernel()
- : _input(nullptr), _output(nullptr), _func(nullptr)
-{
-}
-
-template <typename T>
-void CPPFlipWeightsKernel::flip_weights(const Window &window_input)
-{
- // Create iterators
- Iterator in(_input, window_input);
-
- const DataLayout data_layout = _input->info()->data_layout();
- const size_t idx_w = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
- const size_t idx_h = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
-
- const int kernel_width = _input->info()->dimension(idx_w);
- const int kernel_height = _input->info()->dimension(idx_h);
-
- execute_window_loop(window_input, [&](const Coordinates & id)
- {
- const unsigned int x = kernel_width - id[idx_w] - 1;
- const unsigned int y = kernel_height - id[idx_h] - 1;
- Coordinates output_coord(id);
- output_coord.set(idx_w, x);
- output_coord.set(idx_h, y);
- *(reinterpret_cast<T *>(_output->ptr_to_element(output_coord))) = *(reinterpret_cast<const T *>(in.ptr()));
- },
- in);
-}
-
-void CPPFlipWeightsKernel::configure(const ITensor *input, ITensor *output)
-{
- ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
- ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::F16, DataType::F32);
- ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output);
- ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
-
- _input = input;
- _output = output;
-
- // Configure kernel window
- Window win = calculate_max_window(*input->info(), Steps());
-
- // The CPPFlipWeightsKernel doesn't need padding so update_window_and_padding() can be skipped
- Coordinates coord;
- coord.set_num_dimensions(output->info()->num_dimensions());
- output->info()->set_valid_region(ValidRegion(coord, output->info()->tensor_shape()));
-
- ICPPKernel::configure(win);
-
- switch(input->info()->data_type())
- {
- case DataType::F32:
- _func = &CPPFlipWeightsKernel::flip_weights<float>;
- break;
- case DataType::F16:
- _func = &CPPFlipWeightsKernel::flip_weights<half>;
- break;
- case DataType::QASYMM8:
- _func = &CPPFlipWeightsKernel::flip_weights<uint8_t>;
- break;
- default:
- ARM_COMPUTE_ERROR("Not supported");
- }
-}
-
-void CPPFlipWeightsKernel::run(const Window &window, const ThreadInfo &info)
-{
- ARM_COMPUTE_UNUSED(info);
- ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
- ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICPPKernel::window(), window);
- ARM_COMPUTE_ERROR_ON(_func == nullptr);
-
- (this->*_func)(window);
-}
diff --git a/src/core/NEON/kernels/NEReverseKernel.cpp b/src/core/NEON/kernels/NEReverseKernel.cpp
index 2f584164dc..5a8c446ddd 100644
--- a/src/core/NEON/kernels/NEReverseKernel.cpp
+++ b/src/core/NEON/kernels/NEReverseKernel.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -106,33 +106,20 @@ void run_reverse(const Window &window, const ITensor *input, const ITensor *axis
}
// Check if we need a left-over loop for the y dimension
- const int window_step_x = 16 / input->info()->element_size();
- const int window_start_x = window.x().start();
- const int window_end_x = std::min(window.x().end(), static_cast<int>(input->info()->dimension(0)));
- const int window_end_x_multiple_of = ((window_end_x - window_start_x) / window_step_x) * window_step_x;
- bool left_over_loop_x = (((window_end_x - window_start_x) % window_step_x) != 0);
+ const int window_step_x = 16 / input->info()->element_size();
+ const int window_start_x = window.x().start();
+ const int window_end_x = window.x().end();
- Window slice = window.first_slice_window_4D();
+ Window win(window);
+ win.set(Window::DimX, Window::Dimension(0, 1, 1));
- if(left_over_loop_x)
+ Iterator input_it(input, win);
+ execute_window_loop(win, [&](const Coordinates & id)
{
- // Check if window_end_y_multiple_of is greater than window_start_y
- if(window_end_x_multiple_of > window_start_x)
+ int x = window_start_x;
+ for(; x <= (window_end_x - window_step_x); x += window_step_x)
{
- slice.set(Window::DimX, Window::Dimension(window_start_x, window_end_x_multiple_of, window_step_x));
- }
- else
- {
- slice.set(Window::DimX, Window::Dimension(0, 0, 1));
- }
- }
-
- do
- {
- Iterator input_it(input, slice);
- execute_window_loop(slice, [&](const Coordinates & id)
- {
- auto in = wrapper::vloadq(reinterpret_cast<T *>(input_it.ptr()));
+ auto in = wrapper::vloadq(reinterpret_cast<T *>(input_it.ptr()) + x);
// Reverse 0 axis
if(axis_bit & 0x1)
@@ -141,39 +128,29 @@ void run_reverse(const Window &window, const ITensor *input, const ITensor *axis
in = wrapper::vcombine(wrapper::vgethigh(in), wrapper::vgetlow(in));
}
- const int offset_x = (axis_bit & 0x1) ? output->info()->dimension(0) - id.x() - window_step_x : id.x();
+ const int offset_x = (axis_bit & 0x1) ? output->info()->dimension(0) - x - window_step_x : x;
const int offset_y = (axis_bit & 0x2) ? output->info()->dimension(1) - id.y() - 1 : id.y();
const int offset_z = (axis_bit & 0x4) ? output->info()->dimension(2) - id.z() - 1 : id.z();
const int offset_w = (axis_bit & 0x8) ? output->info()->dimension(3) - id[3] - 1 : id[3];
auto out_ptr = reinterpret_cast<T *>(output->ptr_to_element(Coordinates(offset_x, offset_y, offset_z, offset_w)));
wrapper::vstore(out_ptr, in);
- },
- input_it);
+ }
- if(left_over_loop_x)
+ // Compute left-over elements
+ for(; x < window_end_x; ++x)
{
- slice.set(Window::DimX, Window::Dimension(window_end_x_multiple_of, window_end_x, 1));
+ const auto in = *(reinterpret_cast<T *>(input_it.ptr()) + x);
- Iterator input_it(input, slice);
-
- // Compute left-over elements along the y dimension (1x1)
- execute_window_loop(slice, [&](const Coordinates & id)
- {
- const auto in = *reinterpret_cast<T *>(input_it.ptr());
-
- const int offset_x = (axis_bit & 0x1) ? output->info()->dimension(0) - id.x() - 1 : id.x();
- const int offset_y = (axis_bit & 0x2) ? output->info()->dimension(1) - id.y() - 1 : id.y();
- const int offset_z = (axis_bit & 0x4) ? output->info()->dimension(2) - id.z() - 1 : id.z();
- const int offset_w = (axis_bit & 0x8) ? output->info()->dimension(3) - id[3] - 1 : id[3];
+ const int offset_x = (axis_bit & 0x1) ? output->info()->dimension(0) - x - 1 : x;
+ const int offset_y = (axis_bit & 0x2) ? output->info()->dimension(1) - id.y() - 1 : id.y();
+ const int offset_z = (axis_bit & 0x4) ? output->info()->dimension(2) - id.z() - 1 : id.z();
+ const int offset_w = (axis_bit & 0x8) ? output->info()->dimension(3) - id[3] - 1 : id[3];
- *reinterpret_cast<T *>(output->ptr_to_element(Coordinates(offset_x, offset_y, offset_z, offset_w))) = in;
- },
- input_it);
+ *reinterpret_cast<T *>(output->ptr_to_element(Coordinates(offset_x, offset_y, offset_z, offset_w))) = in;
}
-
- }
- while(window.slide_window_slice_4D(slice));
+ },
+ input_it);
}
void NEReverseKernel::run(const Window &window, const ThreadInfo &info)