Fixed the docstring for Huber and SmoothL1 loss

docs/reference/node_reference.md

@@ -117,12 +117,12 @@
 | [Ptn BCE Loss](ptn_bce_loss.md) | A class to compute the binary cross entropy loss. |
 | [Ptn BCE With Logits Loss](ptn_bce_with_logits_loss.md) | A class to compute the sigmoid then binary cross entropy loss. |
 | [Ptn Cross Entropy Loss](ptn_cross_entropy_loss.md) | A class to compute the cross entropy loss. |
-| [Ptn Huber Loss](ptn_huber_loss.md) |  |
+| [Ptn Huber Loss](ptn_huber_loss.md) | A class to compute the Huber loss. |
 | [Ptn KL Div Loss](ptn_kl_div_loss.md) | A class to compute the KL divergence loss. |
 | [Ptn L1 Loss](ptn_l1_loss.md) | A class to compute the L1 loss. |
 | [Ptn MSE Loss](ptn_mse_loss.md) | A class to compute the squared loss. |
 | [Ptn NLL Loss](ptn_nll_loss.md) | A model to compute the negative log likelihood (NLL) loss. |
-| [Ptn Smooth L1 Loss](ptn_smooth_l1_loss.md) |  |
+| [Ptn Smooth L1 Loss](ptn_smooth_l1_loss.md) | A class to compute the Smooth L1 loss. |
 ## PyTorch wrapper - Math operations
 | Node | Description |
 | --- | --- |

docs/reference/ptn_bce_loss.md

@@ -12,7 +12,7 @@ Unlike the Ptn BCE Loss With Logits node, which takes logits as input, this node
 ## Input
 | Name | Data type |
 |---|---|
-| reduction | Mean |
+| reduction |  |
 
 ## Output
 | Data type |

docs/reference/ptn_bce_with_logits_loss.md

@@ -10,7 +10,7 @@ A class to compute the sigmoid then binary cross entropy loss.
 ## Input
 | Name | Data type |
 |---|---|
-| reduction | Mean |
+| reduction |  |
 
 ## Output
 | Data type |

docs/reference/ptn_cross_entropy_loss.md

@@ -12,7 +12,7 @@ Unlike Ptn NLL Loss node which takes log probabilities for input, input to this
 ## Input
 | Name | Data type |
 |---|---|
-| reduction | Mean |
+| reduction |  |
 
 ## Output
 | Data type |

docs/reference/ptn_huber_loss.md

@@ -14,7 +14,7 @@ Please see [PyTorch documentation](https://pytorch.org/docs/stable/generated/tor
 ## Input
 | Name | Data type |
 |---|---|
-| reduction | Mean |
+| reduction |  |
 | delta | Float |
 
 ## Output

docs/reference/ptn_kl_div_loss.md

@@ -14,7 +14,7 @@ A class to compute the KL divergence loss.
 ## Input
 | Name | Data type |
 |---|---|
-| reduction | None |
+| reduction |  |
 | log_target | Boolean |
 
 ## Output

docs/reference/ptn_l1_loss.md

@@ -10,7 +10,7 @@ A class to compute the L1 loss.
 ## Input
 | Name | Data type |
 |---|---|
-| reduction | Mean |
+| reduction |  |
 
 ## Output
 | Data type |

docs/reference/ptn_mse_loss.md

@@ -10,7 +10,7 @@ A class to compute the squared loss.
 ## Input
 | Name | Data type |
 |---|---|
-| reduction | Mean |
+| reduction |  |
 
 ## Output
 | Data type |

docs/reference/ptn_nll_loss.md

@@ -12,7 +12,7 @@ Unlike Ptn Cross Entropy which takes input in logits, input to this nodes needs
 ## Input
 | Name | Data type |
 |---|---|
-| reduction | Mean |
+| reduction |  |
 
 ## Output
 | Data type |

docs/reference/ptn_smooth_l1_loss.md

@@ -14,7 +14,7 @@ Please see [PyTorch documentation](https://pytorch.org/docs/stable/generated/tor
 ## Input
 | Name | Data type |
 |---|---|
-| reduction | Mean |
+| reduction |  |
 | beta | Float |
 
 ## Output

modules/pytorch_wrapper/ptn_huber_loss.py

@@ -6,7 +6,6 @@ import torch.nn as nn
 class PtnHuberLoss:
     """
     Ptn Huber Loss:
-
     A class to compute the Huber loss.
 
     Please see [PyTorch documentation](https://pytorch.org/docs/stable/generated/torch.nn.HuberLoss.html) for details.

modules/pytorch_wrapper/ptn_smooth_l1_loss.py

@@ -6,7 +6,6 @@ import torch.nn as nn
 class PtnSmoothL1Loss:
     """
     Ptn Smooth L1 Loss:
-
     A class to compute the Smooth L1 loss.
 
     Please see [PyTorch documentation](https://pytorch.org/docs/stable/generated/torch.nn.SmoothL1Loss.html) for details and exact formulation.