feat: add upsample_trilinear3d_backward base

Author: voltjia

src/base/upsample_trilinear3d_backward.h

@@ -0,0 +1,49 @@
+// AUTO-GENERATED by `scripts/generate_torch_ops.py` — DO NOT EDIT.
+#ifndef INFINI_OPS_BASE_UPSAMPLE_TRILINEAR3D_BACKWARD_H_
+#define INFINI_OPS_BASE_UPSAMPLE_TRILINEAR3D_BACKWARD_H_
+
+#include "operator.h"
+
+namespace infini::ops {
+
+class UpsampleTrilinear3dBackward : public Operator<UpsampleTrilinear3dBackward> {
+ public:
+  UpsampleTrilinear3dBackward(const Tensor grad_output, const std::vector<int64_t> output_size, const std::vector<int64_t> input_size, const bool align_corners, Tensor grad_input)
+      : grad_output_shape_{grad_output.shape()},
+        grad_output_strides_{grad_output.strides()},
+        grad_output_type_{grad_output.dtype()},
+        grad_input_shape_{grad_input.shape()},
+        grad_input_strides_{grad_input.strides()},
+        grad_input_type_{grad_input.dtype()},
+        output_size_{output_size},
+        input_size_{input_size},
+        align_corners_{align_corners},
+        device_index_{grad_input.device().index()} {}
+
+  virtual void operator()(const Tensor grad_output, const std::vector<int64_t> output_size, const std::vector<int64_t> input_size, const bool align_corners, Tensor grad_input) const = 0;
+
+ protected:
+  Tensor::Shape grad_output_shape_;
+
+  Tensor::Strides grad_output_strides_;
+
+  DataType grad_output_type_;
+
+  Tensor::Shape grad_input_shape_;
+
+  Tensor::Strides grad_input_strides_;
+
+  DataType grad_input_type_;
+
+  std::vector<int64_t> output_size_{};
+
+  std::vector<int64_t> input_size_{};
+
+  bool align_corners_{};
+
+  int device_index_{0};
+};
+
+}  // namespace infini::ops
+
+#endif