COMPMID-1596 Create UpsampleLayer for NEON

Change-Id: I82d95c4f1c5fed13b213a2591cc2b4e0d0e02a54
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/149676
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Tested-by: bsgcomp <bsgcomp@arm.com>

1 files changed, 376 insertions, 0 deletions

diff --git a/src/core/NEON/kernels/NEUpsampleLayerKernel.cpp b/src/core/NEON/kernels/NEUpsampleLayerKernel.cpp
new file mode 100644
index 0000000000..5dca58edd8
--- /dev/null
+++ b/src/core/NEON/kernels/NEUpsampleLayerKernel.cpp
@@ -0,0 +1,376 @@
+/*
+ * 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/NEON/kernels/NEUpsampleLayerKernel.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/Validate.h"
+#include "arm_compute/core/Window.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+
+#include <arm_neon.h>
+
+namespace arm_compute
+{
+namespace
+{
+std::pair<Status, Window> validate_and_configure_window_nchw(ITensorInfo *input, ITensorInfo *output, int num_elems_processed_per_iteration_x, const Size2D &info)
+{
+    const int              num_elems_processed_per_iteration_x_out = num_elems_processed_per_iteration_x * info.x();
+    Window                 win                                     = calculate_max_window(*output, Steps(num_elems_processed_per_iteration_x_out));
+    AccessWindowRectangle  input_access(input, 0, 0, num_elems_processed_per_iteration_x, 1, 0.5f, 0.5f);
+    AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration_x_out);
+    bool                   window_changed = update_window_and_padding(win, input_access, output_access);
+    output_access.set_valid_region(win, output->valid_region());
+
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
+    return std::make_pair(err, win);
+}
+
+std::pair<Status, Window> validate_and_configure_window_nhwc(ITensorInfo *input, ITensorInfo *output, int num_elems_processed_per_iteration_x, const Size2D &info)
+{
+    ARM_COMPUTE_UNUSED(info);
+    Window                 win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration_x));
+    AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration_x);
+    AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration_x);
+    bool                   window_changed = update_window_and_padding(win, input_access, output_access);
+    output_access.set_valid_region(win, output->valid_region());
+
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
+    return std::make_pair(err, win);
+}
+
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, int num_elems_processed_per_iteration_x, const Size2D &info)
+{
+    std::pair<Status, Window> win_config;
+    switch(input->data_layout())
+    {
+        case DataLayout::NCHW:
+            win_config = validate_and_configure_window_nchw(input, output, num_elems_processed_per_iteration_x, info);
+            break;
+        case DataLayout::NHWC:
+            win_config = validate_and_configure_window_nhwc(input, output, num_elems_processed_per_iteration_x, info);
+            break;
+        default:
+            win_config = std::make_pair(ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Unsupported data layout!"), Window{});
+    }
+
+    return win_config;
+}
+} // namespace
+NEUpsampleLayerKernel::NEUpsampleLayerKernel()
+    : _func(nullptr), _input(nullptr), _output(nullptr), _info(), _num_elems_processed_per_iteration_x()
+{
+}
+
+Status NEUpsampleLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &info, const InterpolationPolicy policy)
+{
+    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
+    ARM_COMPUTE_UNUSED(policy);
+
+    const DataLayout data_layout = input->data_layout();
+    const int        idx_width   = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
+    const int        idx_height  = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
+
+    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::F16, DataType::F32);
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG(info.x() != 2 || info.y() != 2, "Only stride 2 is supported");
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG(policy != InterpolationPolicy::NEAREST_NEIGHBOR, "Only nearest neighbor policy supported");
+
+    // Check output if configured
+    if(output->total_size() != 0)
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output);
+        ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(idx_width) != info.x() * input->dimension(idx_width));
+        ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(idx_height) != info.y() * input->dimension(idx_height));
+    }
+
+    const int num_elems_processed_per_iteration_x = 16 / input->element_size();
+    ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(),
+                                                              output->clone().get(), num_elems_processed_per_iteration_x, info)
+                                .first);
+    return Status{};
+}
+
+void NEUpsampleLayerKernel::upsample_f32_nchw(const arm_compute::Window &window)
+{
+    Window window_in(window);
+    window_in.set(Window::DimX, Window::Dimension(0, _input->info()->dimension(0), _num_elems_processed_per_iteration_x));
+
+    Window window_out(window);
+    window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.y()));
+
+    Iterator  input(_input, window_in);
+    Iterator  output(_output, window_out);
+    const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(float);
+
+    execute_window_loop(window_out, [&](const Coordinates & id)
+    {
+        const float32x4_t data      = vld1q_f32(reinterpret_cast<const float *>(input.ptr()));
+        const float32x4_t data_out1 = { vgetq_lane_f32(data, 0), vgetq_lane_f32(data, 0), vgetq_lane_f32(data, 1), vgetq_lane_f32(data, 1) };
+        const float32x4_t data_out2 = { vgetq_lane_f32(data, 2), vgetq_lane_f32(data, 2), vgetq_lane_f32(data, 3), vgetq_lane_f32(data, 3) };
+        auto              out       = reinterpret_cast<float *>(output.ptr());
+
+        vst1q_f32(out, data_out1);
+        vst1q_f32(out + 4, data_out2);
+        vst1q_f32(out + offset_y_out, data_out1);
+        vst1q_f32(out + offset_y_out + 4, data_out2);
+    },
+    input, output);
+}
+
+void NEUpsampleLayerKernel::upsample_f32_nhwc(const arm_compute::Window &window)
+{
+    Window window_out(window);
+    window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.x()));
+    window_out.set(Window::DimZ, Window::Dimension(0, _output->info()->dimension(2), _info.y()));
+
+    Iterator input(_input, window);
+    Iterator output(_output, window_out);
+
+    const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(float);
+    const int offset_z_out = _output->info()->strides_in_bytes().z() / sizeof(float);
+
+    execute_window_loop(window_out, [&](const Coordinates & id)
+    {
+        const float32x4_t data = vld1q_f32(reinterpret_cast<const float *>(input.ptr()));
+        auto              out  = reinterpret_cast<float *>(output.ptr());
+
+        vst1q_f32(out, data);
+        vst1q_f32(out + offset_y_out, data);
+        vst1q_f32(out + offset_z_out, data);
+        vst1q_f32(out + offset_y_out + offset_z_out, data);
+    },
+    input, output);
+}
+
+void NEUpsampleLayerKernel::upsample_qasymm8_nchw(const arm_compute::Window &window)
+{
+    Window window_in(window);
+    window_in.set(Window::DimX, Window::Dimension(0, _input->info()->dimension(0), _num_elems_processed_per_iteration_x));
+
+    Window window_out(window);
+    window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.y()));
+
+    Iterator  input(_input, window_in);
+    Iterator  output(_output, window_out);
+    const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(uint8_t);
+
+    execute_window_loop(window_out, [&](const Coordinates & id)
+    {
+        const uint8x16_t data      = vld1q_u8(reinterpret_cast<const uint8_t *>(input.ptr()));
+        const uint8x16_t data_out1 = { vgetq_lane_u8(data, 0), vgetq_lane_u8(data, 0), vgetq_lane_u8(data, 1), vgetq_lane_u8(data, 1),
+                                       vgetq_lane_u8(data, 2), vgetq_lane_u8(data, 2), vgetq_lane_u8(data, 3), vgetq_lane_u8(data, 3),
+                                       vgetq_lane_u8(data, 4), vgetq_lane_u8(data, 4), vgetq_lane_u8(data, 5), vgetq_lane_u8(data, 5),
+                                       vgetq_lane_u8(data, 6), vgetq_lane_u8(data, 6), vgetq_lane_u8(data, 7), vgetq_lane_u8(data, 7)
+                                     };
+        const uint8x16_t data_out2 =
+        {
+            vgetq_lane_u8(data, 8), vgetq_lane_u8(data, 8), vgetq_lane_u8(data, 9), vgetq_lane_u8(data, 9),
+            vgetq_lane_u8(data, 10), vgetq_lane_u8(data, 10), vgetq_lane_u8(data, 11), vgetq_lane_u8(data, 11),
+            vgetq_lane_u8(data, 12), vgetq_lane_u8(data, 12), vgetq_lane_u8(data, 13), vgetq_lane_u8(data, 13),
+            vgetq_lane_u8(data, 14), vgetq_lane_u8(data, 14), vgetq_lane_u8(data, 15), vgetq_lane_u8(data, 15)
+        };
+        auto out = reinterpret_cast<uint8_t *>(output.ptr());
+
+        vst1q_u8(out, data_out1);
+        vst1q_u8(out + 16, data_out2);
+        vst1q_u8(out + offset_y_out, data_out1);
+        vst1q_u8(out + offset_y_out + 16, data_out2);
+    },
+    input, output);
+}
+
+void NEUpsampleLayerKernel::upsample_qasymm8_nhwc(const arm_compute::Window &window)
+{
+    Window window_out(window);
+    window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.x()));
+    window_out.set(Window::DimZ, Window::Dimension(0, _output->info()->dimension(2), _info.y()));
+
+    Iterator input(_input, window);
+    Iterator output(_output, window_out);
+
+    const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(uint8_t);
+    const int offset_z_out = _output->info()->strides_in_bytes().z() / sizeof(uint8_t);
+    execute_window_loop(window_out, [&](const Coordinates & id)
+    {
+        const uint8x16_t data = vld1q_u8(reinterpret_cast<const uint8_t *>(input.ptr()));
+        auto             out  = reinterpret_cast<uint8_t *>(output.ptr());
+
+        vst1q_u8(out, data);
+        vst1q_u8(out + offset_y_out, data);
+        vst1q_u8(out + offset_z_out, data);
+        vst1q_u8(out + offset_y_out + offset_z_out, data);
+    },
+    input, output);
+}
+
+void NEUpsampleLayerKernel::upsample_f16_nchw(const arm_compute::Window &window)
+{
+    ARM_COMPUTE_UNUSED(window);
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+    Window window_in(window);
+    window_in.set(Window::DimX, Window::Dimension(0, _input->info()->dimension(0), _num_elems_processed_per_iteration_x));
+
+    Window window_out(window);
+    window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.y()));
+
+    Iterator  input(_input, window_in);
+    Iterator  output(_output, window_out);
+    const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(float16_t);
+
+    execute_window_loop(window_out, [&](const Coordinates & id)
+    {
+        const float16x8_t data      = vld1q_f16(reinterpret_cast<const float16_t *>(input.ptr()));
+        const float16x8_t data_out1 = { vgetq_lane_f16(data, 0), vgetq_lane_f16(data, 0), vgetq_lane_f16(data, 1), vgetq_lane_f16(data, 1),
+                                        vgetq_lane_f16(data, 2), vgetq_lane_f16(data, 2), vgetq_lane_f16(data, 3), vgetq_lane_f16(data, 3)
+                                      };
+        const float16x8_t data_out2 = { vgetq_lane_f16(data, 4), vgetq_lane_f16(data, 4), vgetq_lane_f16(data, 5), vgetq_lane_f16(data, 5),
+                                        vgetq_lane_f16(data, 6), vgetq_lane_f16(data, 6), vgetq_lane_f16(data, 7), vgetq_lane_f16(data, 7)
+                                      };
+        auto out = reinterpret_cast<float16_t *>(output.ptr());
+
+        vst1q_f16(out, data_out1);
+        vst1q_f16(out + 8, data_out2);
+        vst1q_f16(out + offset_y_out, data_out1);
+        vst1q_f16(out + offset_y_out + 8, data_out2);
+    },
+    input, output);
+#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+}
+
+void NEUpsampleLayerKernel::upsample_f16_nhwc(const arm_compute::Window &window)
+{
+    ARM_COMPUTE_UNUSED(window);
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+    Window window_out(window);
+    window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.x()));
+    window_out.set(Window::DimZ, Window::Dimension(0, _output->info()->dimension(2), _info.y()));
+
+    Iterator  input(_input, window);
+    Iterator  output(_output, window_out);
+    const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(float16_t);
+    const int offset_z_out = _output->info()->strides_in_bytes().z() / sizeof(float16_t);
+
+    execute_window_loop(window_out, [&](const Coordinates & id)
+    {
+        const float16x8_t data = vld1q_f16(reinterpret_cast<const float16_t *>(input.ptr()));
+        auto              out  = reinterpret_cast<float16_t *>(output.ptr());
+
+        vst1q_f16(out, data);
+        vst1q_f16(out + offset_y_out, data);
+        vst1q_f16(out + offset_z_out, data);
+        vst1q_f16(out + offset_y_out + offset_z_out, data);
+    },
+    input, output);
+#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+}
+
+void NEUpsampleLayerKernel::configure(const ITensor *input, ITensor *output, const Size2D &info, const InterpolationPolicy policy)
+{
+    ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+    ARM_COMPUTE_UNUSED(policy);
+
+    _input  = input;
+    _output = output;
+    _info   = info;
+
+    const DataLayout data_layout = input->info()->data_layout();
+
+    TensorShape output_shape = misc::shape_calculator::compute_upsample_shape(*input->info(), info);
+    auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type());
+    output->info()->set_data_layout(data_layout);
+
+    // Perform validation step
+    ARM_COMPUTE_ERROR_THROW_ON(NEUpsampleLayerKernel::validate(input->info(), output->info(), info, policy));
+
+    _num_elems_processed_per_iteration_x = 16 / output->info()->element_size();
+
+    switch(data_layout)
+    {
+        case DataLayout::NCHW:
+        {
+            switch(input->info()->data_type())
+            {
+                case DataType::QASYMM8:
+                    _func = &NEUpsampleLayerKernel::upsample_qasymm8_nchw;
+                    break;
+                case DataType::F32:
+                    _func = &NEUpsampleLayerKernel::upsample_f32_nchw;
+                    break;
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+                case DataType::F16:
+                    _func = &NEUpsampleLayerKernel::upsample_f16_nchw;
+                    break;
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
+                default:
+                    ARM_COMPUTE_ERROR("Not implemented");
+            }
+            break;
+        }
+        case DataLayout::NHWC:
+        {
+            switch(input->info()->data_type())
+            {
+                case DataType::QASYMM8:
+                    _func = &NEUpsampleLayerKernel::upsample_qasymm8_nhwc;
+                    break;
+                case DataType::F32:
+                    _func = &NEUpsampleLayerKernel::upsample_f32_nhwc;
+                    break;
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+                case DataType::F16:
+                    _func = &NEUpsampleLayerKernel::upsample_f16_nhwc;
+                    break;
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
+                default:
+                    ARM_COMPUTE_ERROR("Not implemented");
+            }
+            break;
+        }
+        default:
+            ARM_COMPUTE_ERROR("Not implemented");
+    }
+
+    // Configure window
+    std::pair<Status, Window> win_config = validate_and_configure_window(input->info(),
+                                                                         output->info(),
+                                                                         _num_elems_processed_per_iteration_x,
+                                                                         info);
+    ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
+    INEKernel::configure(win_config.second);
+}
+
+void NEUpsampleLayerKernel::run(const Window &window, const ThreadInfo &info)
+{
+    ARM_COMPUTE_UNUSED(info);
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
+    ARM_COMPUTE_ERROR_ON(_func == nullptr);
+
+    (this->*_func)(window);
+}
+} // namespace arm_compute