feat: add nll_loss_forward base

Author: voltjia

src/base/nll_loss_forward.h

@@ -0,0 +1,67 @@
+#ifndef INFINI_OPS_BASE_NLL_LOSS_FORWARD_H_
+#define INFINI_OPS_BASE_NLL_LOSS_FORWARD_H_
+
+#include "operator.h"
+
+namespace infini::ops {
+
+class NllLossForward : public Operator<NllLossForward> {
+ public:
+  NllLossForward(const Tensor input, const Tensor target,
+                 const int64_t reduction, const int64_t ignore_index,
+                 Tensor output, Tensor total_weight)
+      : 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()},
+        total_weight_shape_{total_weight.shape()},
+        total_weight_strides_{total_weight.strides()},
+        total_weight_type_{total_weight.dtype()},
+        reduction_{reduction},
+        ignore_index_{ignore_index},
+        device_index_{output.device().index()} {}
+
+  virtual void operator()(const Tensor input, const Tensor target,
+                          const int64_t reduction, const int64_t ignore_index,
+                          Tensor output, Tensor total_weight) 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 total_weight_shape_;
+
+  Tensor::Strides total_weight_strides_;
+
+  DataType total_weight_type_;
+
+  int64_t reduction_{};
+
+  int64_t ignore_index_{};
+
+  int device_index_{0};
+};
+
+}  // namespace infini::ops
+
+#endif