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API.md

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@@ -346,7 +346,7 @@ Tensor Tensor_reciprocal(Tensor self);
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These operations reduce a tensor to a single value or along a specified dimension. They are exposed via macros for a simpler API.
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#### Sum
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### Sum
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**Usage:**
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Tensor sum_dim = Tensor_sum(my_tensor, 1);
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```
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## **Underlying Functions:** `Tensor_sum_all(Tensor self)`, `Tensor_sum_dim(Tensor self, int dim)`
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#### **Underlying Functions:** `Tensor_sum_all(Tensor self)`, `Tensor_sum_dim(Tensor self, int dim)`
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#### Mean
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### Mean
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**Usage:**
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@@ -372,9 +372,9 @@ Tensor mean_all = Tensor_mean(my_tensor);
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Tensor mean_dim = Tensor_mean(my_tensor, 1);
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```
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## **Underlying Functions:** `Tensor_mean_all(Tensor self)`, `Tensor_mean_dim(Tensor self, int dim)`
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#### **Underlying Functions:** `Tensor_mean_all(Tensor self)`, `Tensor_mean_dim(Tensor self, int dim)`
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#### Max
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### Max
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**Usage:**
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@@ -388,9 +388,9 @@ Tensor max_vals = max_res.values;
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Tensor max_indices = max_res.indices;
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```
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## **Underlying Functions:** `Tensor_max_all(Tensor self)`, `TensorMaxMinResult Tensor_max_dim(Tensor self, int dim)`
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#### **Underlying Functions:** `Tensor_max_all(Tensor self)`, `TensorMaxMinResult Tensor_max_dim(Tensor self, int dim)`
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#### Min
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### Min
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**Usage:**
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TensorMaxMinResult min_res = Tensor_min(my_tensor, 1);
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```
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## **Underlying Functions:** `Tensor_min_all(Tensor self)`, `TensorMaxMinResult Tensor_min_dim(Tensor self, int dim)`
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#### **Underlying Functions:** `Tensor_min_all(Tensor self)`, `TensorMaxMinResult Tensor_min_dim(Tensor self, int dim)`
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#### Argmax
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### Argmax
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### `Tensor_argmax`
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