feat: add upsample_linear1d_backward_grad_input base

Author: voltjia

src/base/upsample_linear1d_backward_grad_input.h

@@ -0,0 +1,41 @@
+#ifndef INFINI_OPS_BASE_UPSAMPLE_LINEAR1D_BACKWARD_GRAD_INPUT_H_
+#define INFINI_OPS_BASE_UPSAMPLE_LINEAR1D_BACKWARD_GRAD_INPUT_H_
+
+#include "operator.h"
+
+namespace infini::ops {
+
+class UpsampleLinear1dBackwardGradInput
+    : public Operator<UpsampleLinear1dBackwardGradInput> {
+ public:
+  UpsampleLinear1dBackwardGradInput(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()},
+        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_;
+  int device_index_{0};
+};
+
+}  // namespace infini::ops
+
+#endif