feat: add multilabel_margin_loss_forward base

Author: voltjia

src/base/multilabel_margin_loss_forward.h

@@ -0,0 +1,61 @@
+// AUTO-GENERATED by `scripts/generate_torch_ops.py` — DO NOT EDIT.
+#ifndef INFINI_OPS_BASE_MULTILABEL_MARGIN_LOSS_FORWARD_H_
+#define INFINI_OPS_BASE_MULTILABEL_MARGIN_LOSS_FORWARD_H_
+
+#include "operator.h"
+
+namespace infini::ops {
+
+class MultilabelMarginLossForward : public Operator<MultilabelMarginLossForward> {
+ public:
+  MultilabelMarginLossForward(const Tensor input, const Tensor target, const int64_t reduction, Tensor output, Tensor is_target)
+      : input_shape_{input.shape()},
+        input_strides_{input.strides()},
+        input_type_{input.dtype()},
+        target_shape_{target.shape()},
+        target_strides_{target.strides()},
+        target_type_{target.dtype()},
+        output_shape_{output.shape()},
+        output_strides_{output.strides()},
+        output_type_{output.dtype()},
+        is_target_shape_{is_target.shape()},
+        is_target_strides_{is_target.strides()},
+        is_target_type_{is_target.dtype()},
+        reduction_{reduction},
+        device_index_{output.device().index()} {}
+
+  virtual void operator()(const Tensor input, const Tensor target, const int64_t reduction, Tensor output, Tensor is_target) const = 0;
+
+ protected:
+  Tensor::Shape input_shape_;
+
+  Tensor::Strides input_strides_;
+
+  DataType input_type_;
+
+  Tensor::Shape target_shape_;
+
+  Tensor::Strides target_strides_;
+
+  DataType target_type_;
+
+  Tensor::Shape output_shape_;
+
+  Tensor::Strides output_strides_;
+
+  DataType output_type_;
+
+  Tensor::Shape is_target_shape_;
+
+  Tensor::Strides is_target_strides_;
+
+  DataType is_target_type_;
+
+  int64_t reduction_{};
+
+  int device_index_{0};
+};
+
+}  // namespace infini::ops
+
+#endif