Updated docstrings for activation functions and data type conversion functions.

docs/reference/node_reference.md

@@ -30,15 +30,15 @@
 ## PyTorch wrapper - Callable
 | Node | Description |
 | --- | --- |
-| [Ptf GELU](ptf_gelu.md) |  |
-| [Ptf LeakyReLU](ptf_leaky_relu.md) |  |
-| [Ptf Log Softmax](ptf_log_softmax.md) | A PyTorch wrapper for the log_softmax activation function. |
-| [Ptf ReLU](ptf_relu.md) |  |
-| [Ptf SiLU](ptf_silu.md) |  |
-| [Ptf Sigmoid](ptf_sigmoid.md) | A PyTorch wrapper for the sigmoid activation function. |
-| [Ptf Softmax](ptf_softmax.md) | A PyTorch wrapper for the softmax activation function. |
-| [Ptf Softplus](ptf_softplus.md) |  |
-| [Ptf Tanh](ptf_tanh.md) | A PyTorch wrapper for the tanh activation function. |
+| [Ptf GELU](ptf_gelu.md) | The GELU activation function. |
+| [Ptf LeakyReLU](ptf_leaky_relu.md) | The LeakyReLU activation function. |
+| [Ptf Log Softmax](ptf_log_softmax.md) | The log softmax activation function. |
+| [Ptf ReLU](ptf_relu.md) | The ReLU activation function. |
+| [Ptf SiLU](ptf_silu.md) | The SiLU activation function. |
+| [Ptf Sigmoid](ptf_sigmoid.md) | The sigmoid activation function. |
+| [Ptf Softmax](ptf_softmax.md) | The softmax activation function. |
+| [Ptf Softplus](ptf_softplus.md) | The Softplus activation function. |
+| [Ptf Tanh](ptf_tanh.md) | The tanh activation function. |
 ## PyTorch wrapper - Comparison operations
 | Node | Description |
 | --- | --- |
@@ -51,15 +51,15 @@
 ## PyTorch wrapper - Data type conversion
 | Node | Description |
 | --- | --- |
-| [Pt To Bfloat](pt_to_bfloat16.md) | Converts the input tensor's data type to bfloat16. |
-| [Pt To Float](pt_to_float16.md) | Converts the input tensor's data type to float16. |
-| [Pt To Float](pt_to_float32.md) | Converts the input tensor's data type to float32. |
-| [Pt To Float](pt_to_float64.md) | Converts the input tensor's data type to float64. |
-| [Pt To Int](pt_to_int16.md) | Converts the input tensor's data type to int16. |
-| [Pt To Int](pt_to_int32.md) | Converts the input tensor's data type to int32. |
-| [Pt To Int](pt_to_int64.md) | Converts the input tensor's data type to int64. |
-| [Pt To Int](pt_to_int8.md) | Converts the input tensor's data type to int8. |
-| [Pt To Uint](pt_to_uint8.md) | Converts the input tensor's data type to uint8. |
+| [Pt To Bfloat16](pt_to_bfloat16.md) | Converts the input tensor's data type to bfloat16. |
+| [Pt To Float16](pt_to_float16.md) | Converts the input tensor's data type to float16. |
+| [Pt To Float32](pt_to_float32.md) | Converts the input tensor's data type to float32. |
+| [Pt To Float64](pt_to_float64.md) | Converts the input tensor's data type to float64. |
+| [Pt To Int16](pt_to_int16.md) | Converts the input tensor's data type to int16. |
+| [Pt To Int32](pt_to_int32.md) | Converts the input tensor's data type to int32. |
+| [Pt To Int64](pt_to_int64.md) | Converts the input tensor's data type to int64. |
+| [Pt To Int8](pt_to_int8.md) | Converts the input tensor's data type to int8. |
+| [Pt To Uint8](pt_to_uint8.md) | Converts the input tensor's data type to uint8. |
 ## PyTorch wrapper - Image processing
 | Node | Description |
 | --- | --- |

docs/reference/pt_to_bfloat16.md

@@ -1,4 +1,4 @@
-# Pt To Bfloat
+# Pt To Bfloat16
 Converts the input tensor's data type to bfloat16.
 
 ## Input

docs/reference/pt_to_float16.md

@@ -1,4 +1,4 @@
-# Pt To Float
+# Pt To Float16
 Converts the input tensor's data type to float16.
 
 ## Input

docs/reference/pt_to_float32.md

@@ -1,4 +1,4 @@
-# Pt To Float
+# Pt To Float32
 Converts the input tensor's data type to float32.
 
 ## Input

docs/reference/pt_to_float64.md

@@ -1,4 +1,4 @@
-# Pt To Float
+# Pt To Float64
 Converts the input tensor's data type to float64.
 
 ## Input

docs/reference/pt_to_int16.md

@@ -1,4 +1,4 @@
-# Pt To Int
+# Pt To Int16
 Converts the input tensor's data type to int16.
 
 ## Input

docs/reference/pt_to_int32.md

@@ -1,4 +1,4 @@
-# Pt To Int
+# Pt To Int32
 Converts the input tensor's data type to int32.
 
 ## Input

docs/reference/pt_to_int64.md

@@ -1,4 +1,4 @@
-# Pt To Int
+# Pt To Int64
 Converts the input tensor's data type to int64.
 
 ## Input

docs/reference/pt_to_int8.md

@@ -1,4 +1,4 @@
-# Pt To Int
+# Pt To Int8
 Converts the input tensor's data type to int8.
 
 ## Input

docs/reference/pt_to_uint8.md

@@ -1,4 +1,4 @@
-# Pt To Uint
+# Pt To Uint8
 Converts the input tensor's data type to uint8.
 
 ## Input

docs/reference/ptf_gelu.md

@@ -1,5 +1,5 @@
 # Ptf GELU
-A PyTorch wrapper for the GELU activation function.
+The GELU activation function.
 
 This class provides a callable that applies the GELU activation function 
 from `torch.nn.functional`.

docs/reference/ptf_leaky_relu.md

@@ -1,5 +1,5 @@
 # Ptf LeakyReLU
-A PyTorch wrapper for the LeakyReLU activation function.
+The LeakyReLU activation function.
 
 This class provides a callable that applies the LeakyReLU activation function 
 from `torch.nn.functional`.

docs/reference/ptf_log_softmax.md

@@ -1,5 +1,5 @@
 # Ptf Log Softmax
-A PyTorch wrapper for the log_softmax activation function.
+The log softmax activation function.
 
 This class provides a callable that applies the log_softmax activation function 
 from `torch.nn.functional`.

docs/reference/ptf_relu.md

@@ -1,5 +1,5 @@
 # Ptf ReLU
-A PyTorch wrapper for the ReLU activation function.
+The ReLU activation function.
 
 This class provides a callable that applies the ReLU activation function 
 from `torch.nn.functional`.

docs/reference/ptf_sigmoid.md

@@ -1,5 +1,5 @@
 # Ptf Sigmoid
-A PyTorch wrapper for the sigmoid activation function.
+The sigmoid activation function.
 
 This class provides a callable that applies the sigmoid activation function 
 from `torch.nn.functional`.

docs/reference/ptf_silu.md

@@ -1,5 +1,5 @@
 # Ptf SiLU
-A PyTorch wrapper for the SiLU activation function.
+The SiLU activation function.
 
 This class provides a callable that applies the SiLU activation function 
 from `torch.nn.functional`.

docs/reference/ptf_softmax.md

@@ -1,5 +1,5 @@
 # Ptf Softmax
-A PyTorch wrapper for the softmax activation function.
+The softmax activation function.
 
 This class provides a callable that applies the softmax activation function 
 from `torch.nn.functional`.

docs/reference/ptf_softplus.md

@@ -1,5 +1,5 @@
 # Ptf Softplus
-A PyTorch wrapper for the Softplus activation function.
+The Softplus activation function.
 
 This class provides a callable that applies the Softplus activation function 
 from `torch.nn.functional`.

docs/reference/ptf_tanh.md

@@ -1,5 +1,5 @@
 # Ptf Tanh
-A PyTorch wrapper for the tanh activation function.
+The tanh activation function.
 
 This class provides a callable that applies the tanh activation function 
 from `torch.nn.functional`.

docs/reference/ptn_resnet_model_def.md

@@ -1,7 +0,0 @@
-# Resnet Model
-
-
-<HR>
-Category: Miscellaneous
-
-ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.

modules/pytorch_wrapper/pt_to_bfloat16.py

@@ -3,6 +3,7 @@ import torch
 
 class PtToBfloat16:
     """
+    Pt To Bfloat16:
     Converts the input tensor's data type to bfloat16.
 
     category: PyTorch wrapper - Data type conversion

modules/pytorch_wrapper/pt_to_float16.py

@@ -3,6 +3,7 @@ import torch
 
 class PtToFloat16:
     """
+    Pt To Float16:
     Converts the input tensor's data type to float16.
 
     category: PyTorch wrapper - Data type conversion

modules/pytorch_wrapper/pt_to_float32.py

@@ -3,6 +3,7 @@ import torch
 
 class PtToFloat32:
     """
+    Pt To Float32:
     Converts the input tensor's data type to float32.
 
     category: PyTorch wrapper - Data type conversion

modules/pytorch_wrapper/pt_to_float64.py

@@ -3,6 +3,7 @@ import torch
 
 class PtToFloat64:
     """
+    Pt To Float64:
     Converts the input tensor's data type to float64.
 
     category: PyTorch wrapper - Data type conversion

modules/pytorch_wrapper/pt_to_int16.py

@@ -3,6 +3,7 @@ import torch
 
 class PtToInt16:
     """
+    Pt To Int16:
     Converts the input tensor's data type to int16.
 
     category: PyTorch wrapper - Data type conversion

modules/pytorch_wrapper/pt_to_int32.py

@@ -3,6 +3,7 @@ import torch
 
 class PtToInt32:
     """
+    Pt To Int32:
     Converts the input tensor's data type to int32.
 
     category: PyTorch wrapper - Data type conversion

modules/pytorch_wrapper/pt_to_int64.py

@@ -3,6 +3,7 @@ import torch
 
 class PtToInt64:
     """
+    Pt To Int64:
     Converts the input tensor's data type to int64.
 
     category: PyTorch wrapper - Data type conversion

modules/pytorch_wrapper/pt_to_int8.py

@@ -3,6 +3,7 @@ import torch
 
 class PtToInt8:
     """
+    Pt To Int8:
     Converts the input tensor's data type to int8.
 
     category: PyTorch wrapper - Data type conversion

modules/pytorch_wrapper/pt_to_uint8.py

@@ -3,6 +3,7 @@ import torch
 
 class PtToUint8:
     """
+    Pt To Uint8:
     Converts the input tensor's data type to uint8.
 
     category: PyTorch wrapper - Data type conversion

modules/pytorch_wrapper/ptf_gelu.py

@@ -5,8 +5,7 @@ import torch.nn.functional
 class PtfGELU:
     """
     Ptf GELU:
-
-    A PyTorch wrapper for the GELU activation function.
+    The GELU activation function.
 
     This class provides a callable that applies the GELU activation function 
     from `torch.nn.functional`.

modules/pytorch_wrapper/ptf_leaky_relu.py

@@ -6,8 +6,7 @@ import functools
 class PtfLeakyReLU:
     """
     Ptf LeakyReLU:
-
-    A PyTorch wrapper for the LeakyReLU activation function.
+    The LeakyReLU activation function.
 
     This class provides a callable that applies the LeakyReLU activation function 
     from `torch.nn.functional`.

modules/pytorch_wrapper/ptf_log_softmax.py

@@ -7,7 +7,7 @@ log_softmax_last_axis = functools.partial(torch.nn.functional.log_softmax, dim=-
 
 class PtfLogSoftmax:
     """
-    A PyTorch wrapper for the log_softmax activation function.
+    The log softmax activation function.
 
     This class provides a callable that applies the log_softmax activation function 
     from `torch.nn.functional`.

modules/pytorch_wrapper/ptf_relu.py

@@ -5,8 +5,7 @@ import torch.nn.functional
 class PtfReLU:
     """
     Ptf ReLU:
-
-    A PyTorch wrapper for the ReLU activation function.
+    The ReLU activation function.
 
     This class provides a callable that applies the ReLU activation function 
     from `torch.nn.functional`.

modules/pytorch_wrapper/ptf_sigmoid.py

@@ -4,7 +4,7 @@ import torch.nn.functional
 
 class PtfSigmoid:
     """
-    A PyTorch wrapper for the sigmoid activation function.
+    The sigmoid activation function.
 
     This class provides a callable that applies the sigmoid activation function 
     from `torch.nn.functional`.

modules/pytorch_wrapper/ptf_silu.py

@@ -5,8 +5,7 @@ import torch.nn.functional
 class PtfSiLU:
     """
     Ptf SiLU:
-
-    A PyTorch wrapper for the SiLU activation function.
+    The SiLU activation function.
 
     This class provides a callable that applies the SiLU activation function 
     from `torch.nn.functional`.

modules/pytorch_wrapper/ptf_softmax.py

@@ -6,7 +6,7 @@ softmax_last_axis = functools.partial(torch.nn.functional.softmax, dim=-1)
 
 class PtfSoftmax:
     """
-    A PyTorch wrapper for the softmax activation function.
+    The softmax activation function.
 
     This class provides a callable that applies the softmax activation function 
     from `torch.nn.functional`.

modules/pytorch_wrapper/ptf_softplus.py

@@ -5,8 +5,7 @@ import torch.nn.functional
 class PtfSoftplus:
     """
     Ptf Softplus:
-
-    A PyTorch wrapper for the Softplus activation function.
+    The Softplus activation function.
 
     This class provides a callable that applies the Softplus activation function 
     from `torch.nn.functional`.

modules/pytorch_wrapper/ptf_tanh.py

@@ -4,7 +4,7 @@ import torch.nn.functional
 
 class PtfTanh:
     """
-    A PyTorch wrapper for the tanh activation function.
+    The tanh activation function.
 
     This class provides a callable that applies the tanh activation function 
     from `torch.nn.functional`.