vgslify.tensorflow package

Submodules

vgslify.tensorflow.layers module

class vgslify.tensorflow.layers.TensorFlowLayerFactory(input_shape=None)[source]

Bases: LayerFactory

TensorFlowLayerFactory is responsible for creating TensorFlow-specific layers based on parsed VGSL (Variable-size Graph Specification Language) specifications.

This factory handles the creation of various types of layers, including convolutional layers, pooling layers, RNN layers, dense layers, activation layers, and more.

layers

A list of TensorFlow layers that have been added to the factory.

Type:

list

shape

The current shape of the tensor, excluding the batch size.

Type:

tuple of int

_input_shape

The original input shape provided during initialization.

Type:

tuple of int or None

build(name='VGSL_Model')[source]

Build the final model using the accumulated layers.

Parameters:

name (str, optional) – The name of the model, by default “VGSL_Model”

Returns:

The constructed TensorFlow model.

Return type:

tf.keras.models.Model

Raises:

  • ValueError – If no layers have been added to the model.

  • ValueError – If no input shape has been specified for the model.

Module contents