COMPMID-1769: Add support for NEON StridedSlice,Split,Slice,Unstack
Change-Id: I7d3c5e6858fed090410720f76947327e39bc72f8
Reviewed-on: https://review.mlplatform.org/450
Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Reviewed-by: VidhyaSudhan Loganathan <vidhyasudhan.loganathan@arm.com>
diff --git a/src/core/NEON/kernels/NEStridedSliceKernel.cpp b/src/core/NEON/kernels/NEStridedSliceKernel.cpp
new file mode 100644
index 0000000..bb5756d
--- /dev/null
+++ b/src/core/NEON/kernels/NEStridedSliceKernel.cpp
@@ -0,0 +1,187 @@
+/*
+ * Copyright (c) 2018-2019 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/NEStridedSliceKernel.h"
+
+#include "arm_compute/core/CPP/Validate.h"
+#include "arm_compute/core/IAccessWindow.h"
+#include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Window.h"
+
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/helpers/bit_ops.h"
+#include "arm_compute/core/utils/helpers/tensor_transform.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+
+namespace arm_compute
+{
+namespace
+{
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output,
+ const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
+ int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input);
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1,
+ DataType::U8, DataType::S8, DataType::QASYMM8,
+ DataType::U16, DataType::S16,
+ DataType::U32, DataType::S32,
+ DataType::F16, DataType::F32);
+
+ ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape().num_dimensions() > 4);
+ ARM_COMPUTE_RETURN_ERROR_ON(starts.num_dimensions() > input->num_dimensions());
+ ARM_COMPUTE_RETURN_ERROR_ON(ends.num_dimensions() > input->num_dimensions());
+ ARM_COMPUTE_RETURN_ERROR_ON(strides.num_dimensions() > input->num_dimensions());
+ ARM_COMPUTE_RETURN_ERROR_ON(std::any_of(strides.cbegin(), strides.cbegin() + strides.num_dimensions(), [](int i)
+ {
+ return i == 0;
+ }));
+
+ // Get expected output shape
+ const TensorShape exp_output_shape = arm_compute::misc::shape_calculator::compute_strided_slice_shape(*input,
+ starts, ends, strides,
+ begin_mask, end_mask, shrink_axis_mask);
+ ARM_COMPUTE_RETURN_ERROR_ON(exp_output_shape.total_size() == 0);
+
+ // Checks output if configured
+ if(output->total_size() != 0)
+ {
+ const TensorInfo exp_output_info = output->clone()->set_tensor_shape(exp_output_shape);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(output, &exp_output_info);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
+ }
+
+ return Status{};
+}
+
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output,
+ const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
+ int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
+{
+ // Output tensor auto initialization if not yet initialized
+ const TensorShape output_shape = arm_compute::misc::shape_calculator::compute_strided_slice_shape(*input,
+ starts, ends, strides,
+ begin_mask, end_mask, shrink_axis_mask);
+ auto_init_if_empty(*output, input->clone()->set_tensor_shape(output_shape));
+
+ // Create window
+ const unsigned int num_elems_processed_per_iteration = 1;
+
+ Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration));
+ output->set_valid_region(ValidRegion(Coordinates(), output->tensor_shape()));
+
+ return std::make_pair(Status{}, win);
+}
+
+void strided_slice_generic(const ITensor *input, ITensor *output,
+ const Coordinates &starts, const BiStrides &strides, int32_t shrink_axis_mask,
+ const Window &window)
+{
+ Iterator output_it(output, window);
+ const size_t width_size = input->info()->element_size();
+
+ const bool is_shrink_w = arm_compute::helpers::bit_ops::is_bit_set(shrink_axis_mask, 0);
+ const bool is_shrink_h = arm_compute::helpers::bit_ops::is_bit_set(shrink_axis_mask, 1);
+ const bool is_shrink_c = arm_compute::helpers::bit_ops::is_bit_set(shrink_axis_mask, 2);
+ const bool is_shrink_n = arm_compute::helpers::bit_ops::is_bit_set(shrink_axis_mask, 3);
+
+ unsigned int index = 0;
+ const int idx_w = is_shrink_w ? 0 : index++;
+ const int idx_h = is_shrink_h ? 0 : index++;
+ const int idx_c = is_shrink_c ? 0 : index++;
+ const int idx_n = is_shrink_n ? 0 : index;
+
+ BiStrides shrinked_strides;
+ shrinked_strides.set(0, is_shrink_w ? 0 : strides[0]);
+ shrinked_strides.set(1, is_shrink_h ? 0 : strides[1]);
+ shrinked_strides.set(2, is_shrink_c ? 0 : strides[2]);
+ shrinked_strides.set(3, is_shrink_n ? 0 : strides[3]);
+
+ execute_window_loop(window, [&](const Coordinates & id)
+ {
+ const int w_coord = starts[0] + (id[idx_w] * shrinked_strides[0]);
+ const int h_coord = starts[1] + (id[idx_h] * shrinked_strides[1]);
+ const int c_coord = starts[2] + (id[idx_c] * shrinked_strides[2]);
+ const int n_coord = starts[3] + (id[idx_n] * shrinked_strides[3]);
+
+ Coordinates in_coords(w_coord, h_coord, c_coord, n_coord);
+ std::copy_n(input->ptr_to_element(in_coords), width_size, output_it.ptr());
+ },
+ output_it);
+}
+} // namespace
+
+NEStridedSliceKernel::NEStridedSliceKernel()
+ : _input(nullptr), _output(nullptr), _starts_abs(), _final_strides(), _shrink_mask()
+{
+}
+
+void NEStridedSliceKernel::configure(const ITensor *input, ITensor *output,
+ const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
+ int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), starts, ends, strides, begin_mask, end_mask, shrink_axis_mask));
+
+ _input = input;
+ _output = output;
+ _shrink_mask = shrink_axis_mask;
+
+ const TensorShape &input_shape = input->info()->tensor_shape();
+
+ Coordinates ends_abs;
+ std::tie(_starts_abs, ends_abs, _final_strides) = arm_compute::helpers::tensor_transform::calculate_strided_slice_coords(
+ input_shape,
+ starts, ends, strides,
+ begin_mask, end_mask, shrink_axis_mask);
+
+ // Configure kernel window
+ auto win_config = validate_and_configure_window(input->info(), output->info(), starts, ends, strides, begin_mask, end_mask, shrink_axis_mask);
+ ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
+ INEKernel::configure(win_config.second);
+}
+
+Status NEStridedSliceKernel::validate(const ITensorInfo *input, const ITensorInfo *output,
+ const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
+ int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
+{
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask));
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(),
+ starts, ends, strides, begin_mask, end_mask, shrink_axis_mask)
+ .first);
+
+ return Status{};
+}
+
+void NEStridedSliceKernel::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);
+
+ // Dispatch kernel
+ strided_slice_generic(_input, _output, _starts_abs, _final_strides, _shrink_mask, window);
+}
+} // namespace arm_compute