103 lines
3.0 KiB
C++
103 lines
3.0 KiB
C++
#include "roi_pool.h"
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#include <ATen/core/dispatch/Dispatcher.h>
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#include <torch/library.h>
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#include <torch/types.h>
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namespace vision {
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namespace ops {
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std::tuple<at::Tensor, at::Tensor> roi_pool(
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const at::Tensor& input,
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const at::Tensor& rois,
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double spatial_scale,
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int64_t pooled_height,
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int64_t pooled_width) {
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C10_LOG_API_USAGE_ONCE("torchvision.csrc.ops.roi_pool.roi_pool");
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static auto op = c10::Dispatcher::singleton()
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.findSchemaOrThrow("torchvision::roi_pool", "")
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.typed<decltype(roi_pool)>();
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return op.call(input, rois, spatial_scale, pooled_height, pooled_width);
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}
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std::tuple<at::Tensor, at::Tensor> roi_pool_symint(
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const at::Tensor& input,
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const at::Tensor& rois,
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double spatial_scale,
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c10::SymInt pooled_height,
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c10::SymInt pooled_width) {
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C10_LOG_API_USAGE_ONCE("torchvision.csrc.ops.roi_pool.roi_pool");
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static auto op = c10::Dispatcher::singleton()
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.findSchemaOrThrow("torchvision::roi_pool", "")
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.typed<decltype(roi_pool_symint)>();
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return op.call(input, rois, spatial_scale, pooled_height, pooled_width);
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}
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namespace detail {
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at::Tensor _roi_pool_backward(
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const at::Tensor& grad,
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const at::Tensor& rois,
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const at::Tensor& argmax,
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double spatial_scale,
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int64_t pooled_height,
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int64_t pooled_width,
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int64_t batch_size,
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int64_t channels,
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int64_t height,
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int64_t width) {
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static auto op = c10::Dispatcher::singleton()
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.findSchemaOrThrow("torchvision::_roi_pool_backward", "")
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.typed<decltype(_roi_pool_backward)>();
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return op.call(
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grad,
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rois,
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argmax,
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spatial_scale,
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pooled_height,
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pooled_width,
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batch_size,
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channels,
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height,
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width);
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}
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at::Tensor _roi_pool_backward_symint(
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const at::Tensor& grad,
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const at::Tensor& rois,
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const at::Tensor& argmax,
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double spatial_scale,
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c10::SymInt pooled_height,
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c10::SymInt pooled_width,
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c10::SymInt batch_size,
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c10::SymInt channels,
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c10::SymInt height,
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c10::SymInt width) {
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static auto op = c10::Dispatcher::singleton()
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.findSchemaOrThrow("torchvision::_roi_pool_backward", "")
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.typed<decltype(_roi_pool_backward_symint)>();
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return op.call(
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grad,
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rois,
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argmax,
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spatial_scale,
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pooled_height,
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pooled_width,
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batch_size,
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channels,
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height,
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width);
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}
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} // namespace detail
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TORCH_LIBRARY_FRAGMENT(torchvision, m) {
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m.def(TORCH_SELECTIVE_SCHEMA(
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"torchvision::roi_pool(Tensor input, Tensor rois, float spatial_scale, SymInt pooled_height, SymInt pooled_width) -> (Tensor, Tensor)"));
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m.def(TORCH_SELECTIVE_SCHEMA(
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"torchvision::_roi_pool_backward(Tensor grad, Tensor rois, Tensor argmax, float spatial_scale, SymInt pooled_height, SymInt pooled_width, SymInt batch_size, SymInt channels, SymInt height, SymInt width) -> Tensor"));
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}
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} // namespace ops
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} // namespace vision
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