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-rw-r--r--src/core/CPP/kernels/CPPUpsampleKernel.cpp101
-rw-r--r--src/runtime/CPP/functions/CPPUpsample.cpp36
-rw-r--r--src/runtime/NEON/functions/NEDeconvolutionLayer.cpp37
3 files changed, 144 insertions, 30 deletions
diff --git a/src/core/CPP/kernels/CPPUpsampleKernel.cpp b/src/core/CPP/kernels/CPPUpsampleKernel.cpp
new file mode 100644
index 0000000000..d77d9c118f
--- /dev/null
+++ b/src/core/CPP/kernels/CPPUpsampleKernel.cpp
@@ -0,0 +1,101 @@
+/*
+ * Copyright (c) 2017-2018 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/CPPUpsampleKernel.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;
+
+CPPUpsampleKernel::CPPUpsampleKernel()
+ : _input(nullptr), _output(nullptr), _info(), _inner_border()
+{
+}
+
+bool CPPUpsampleKernel::is_parallelisable() const
+{
+ return false;
+}
+
+void CPPUpsampleKernel::configure(const ITensor *input, ITensor *output, const PadStrideInfo &info, unsigned int inner_border_right, unsigned int inner_border_top)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+
+ _input = input;
+ _output = output;
+ _info = info;
+ _inner_border = std::make_pair(inner_border_right, inner_border_top);
+
+ // Configure kernel window
+ Window win = calculate_max_window(*input->info(), Steps());
+
+ // The CPPUpsampleKernel 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);
+}
+
+void CPPUpsampleKernel::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);
+
+ // Initialize _scaled_output buffer
+ const int width_scaled = _output->info()->dimension(0);
+ const int height_scaled = _output->info()->dimension(1);
+ const int stride_x = _info.stride().first;
+ const int stride_y = _info.stride().second;
+ const int start_x = _info.pad().first;
+ const int start_y = _inner_border.second + _info.pad().second;
+ const int end_y = height_scaled - _info.pad().second;
+ const int end_x = width_scaled - _inner_border.first - _info.pad().first;
+
+ std::fill_n(_output->buffer(), _output->info()->total_size(), 0);
+
+ // Create window
+ Window window_out(window);
+ window_out.set(Window::DimX, Window::Dimension(start_x, end_x, stride_x));
+ window_out.set(Window::DimY, Window::Dimension(start_y, end_y, stride_y));
+
+ // Create iterators
+ Iterator in(_input, window);
+ Iterator out(_output, window_out);
+
+ execute_window_loop(window, [&](const Coordinates & id)
+ {
+ *(reinterpret_cast<float *>(out.ptr())) = *(reinterpret_cast<const float *>(in.ptr()));
+ },
+ in, out);
+}
diff --git a/src/runtime/CPP/functions/CPPUpsample.cpp b/src/runtime/CPP/functions/CPPUpsample.cpp
new file mode 100644
index 0000000000..619b7e1f43
--- /dev/null
+++ b/src/runtime/CPP/functions/CPPUpsample.cpp
@@ -0,0 +1,36 @@
+/*
+ * Copyright (c) 2017-2018 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/runtime/CPP/functions/CPPUpsample.h"
+
+#include "arm_compute/core/CPP/kernels/CPPUpsampleKernel.h"
+#include "support/ToolchainSupport.h"
+
+using namespace arm_compute;
+
+void CPPUpsample::configure(const ITensor *input, ITensor *output, const PadStrideInfo &info, unsigned int inner_border_right, unsigned int inner_border_top)
+{
+ auto k = arm_compute::support::cpp14::make_unique<CPPUpsampleKernel>();
+ k->configure(input, output, info, inner_border_right, inner_border_top);
+ _kernel = std::move(k);
+} \ No newline at end of file
diff --git a/src/runtime/NEON/functions/NEDeconvolutionLayer.cpp b/src/runtime/NEON/functions/NEDeconvolutionLayer.cpp
index c1ba5dd36e..693d7a4f70 100644
--- a/src/runtime/NEON/functions/NEDeconvolutionLayer.cpp
+++ b/src/runtime/NEON/functions/NEDeconvolutionLayer.cpp
@@ -34,6 +34,7 @@ using namespace arm_compute::misc::shape_calculator;
NEDeconvolutionLayer::NEDeconvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager) // NOLINT
: _memory_group(std::move(memory_manager)),
_conv_f(),
+ _upsample_f(),
_scaled_output(),
_input(nullptr),
_info(),
@@ -79,44 +80,20 @@ void NEDeconvolutionLayer::configure(ITensor *input, const ITensor *weights, con
// Allocate auxiliary tensors
_scaled_output.allocator()->allocate();
+
+ // configure upsample function
+ _upsample_f.configure(input, &_scaled_output, info, inner_border_right, inner_border_top);
}
void NEDeconvolutionLayer::run()
{
_memory_group.acquire();
- // Initialize _scaled_output buffer
- const int width_in = _input->info()->dimension(0);
- const int height_in = _input->info()->dimension(1);
- const int width_scaled = _scaled_output.info()->dimension(0);
- const int height_scaled = _scaled_output.info()->dimension(1);
- const int num_2d_slices = _input->info()->tensor_shape().total_size() / (width_in * height_in);
- const int stride_x = _info.stride().first;
- const int stride_y = _info.stride().second;
-
- std::fill_n(_scaled_output.buffer(), _scaled_output.info()->total_size(), 0);
-
- // scaled_output is the input for the forward convolution. We copy the input elements to scaled_output
- // and insert rows and columns with zeroes depending on the stride values.
- for(int slice = 0; slice < num_2d_slices; ++slice)
- {
- const int start_x = _info.pad().first;
- const int start_y = _inner_border.second + _info.pad().second;
- const int end_y = height_scaled - _info.pad().second;
- const int end_x = width_scaled - _inner_border.first - _info.pad().first;
-
- for(int yi = start_y, in_y = 0; yi < end_y; yi += stride_y, in_y++)
- {
- for(int xi = start_x, in_x = 0; xi < end_x; xi += stride_x, in_x++)
- {
- const auto in = *(reinterpret_cast<float *>(_input->buffer() + _input->info()->offset_element_in_bytes(Coordinates(in_x, in_y, slice))));
- *(reinterpret_cast<float *>(_scaled_output.buffer() + _scaled_output.info()->offset_element_in_bytes(Coordinates(xi, yi, slice)))) = in;
- }
- }
- }
+ // Run upsample kernel
+ _upsample_f.run();
// Run convolution layer
_conv_f.run();
_memory_group.release();
-}
+} \ No newline at end of file