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