feat: add multi_margin_loss_backward base

Author: voltjia

src/base/multi_margin_loss_backward.h

@@ -0,0 +1,67 @@
+// AUTO-GENERATED by `scripts/generate_torch_ops.py` — DO NOT EDIT.
+#ifndef INFINI_OPS_BASE_MULTI_MARGIN_LOSS_BACKWARD_H_
+#define INFINI_OPS_BASE_MULTI_MARGIN_LOSS_BACKWARD_H_
+
+#include "operator.h"
+
+namespace infini::ops {
+
+class MultiMarginLossBackward : public Operator<MultiMarginLossBackward> {
+ public:
+  MultiMarginLossBackward(const Tensor grad_output, const Tensor input, const Tensor target, const double p, const double margin, const int64_t reduction, Tensor grad_input)
+      : grad_output_shape_{grad_output.shape()},
+        grad_output_strides_{grad_output.strides()},
+        grad_output_type_{grad_output.dtype()},
+        input_shape_{input.shape()},
+        input_strides_{input.strides()},
+        input_type_{input.dtype()},
+        target_shape_{target.shape()},
+        target_strides_{target.strides()},
+        target_type_{target.dtype()},
+        grad_input_shape_{grad_input.shape()},
+        grad_input_strides_{grad_input.strides()},
+        grad_input_type_{grad_input.dtype()},
+        p_{p},
+        margin_{margin},
+        reduction_{reduction},
+        device_index_{grad_input.device().index()} {}
+
+  virtual void operator()(const Tensor grad_output, const Tensor input, const Tensor target, const double p, const double margin, const int64_t reduction, Tensor grad_input) const = 0;
+
+ protected:
+  Tensor::Shape grad_output_shape_;
+
+  Tensor::Strides grad_output_strides_;
+
+  DataType grad_output_type_;
+
+  Tensor::Shape input_shape_;
+
+  Tensor::Strides input_strides_;
+
+  DataType input_type_;
+
+  Tensor::Shape target_shape_;
+
+  Tensor::Strides target_strides_;
+
+  DataType target_type_;
+
+  Tensor::Shape grad_input_shape_;
+
+  Tensor::Strides grad_input_strides_;
+
+  DataType grad_input_type_;
+
+  double p_{};
+
+  double margin_{};
+
+  int64_t reduction_{};
+
+  int device_index_{0};
+};
+
+}  // namespace infini::ops
+
+#endif