neuralmonkey.checking module

API checking module.

This module serves as a library of API checks used as assertions during constructing the computational graph.

exception neuralmonkey.checking.CheckingException

Bases: Exception

neuralmonkey.checking.assert_same_shape(tensor_a: tensorflow.python.framework.ops.Tensor, tensor_b: tensorflow.python.framework.ops.Tensor) → None

Check if two tensors have the same shape.

neuralmonkey.checking.assert_shape(tensor: tensorflow.python.framework.ops.Tensor, expected_shape: List[Union[int, NoneType]]) → None

Check shape of a tensor.

Parameters:

• tensor – Tensor to be chcecked.
• expected_shape – Expected shape where None means the same as in TF and -1 means not checking the dimension.

neuralmonkey.checking.check_dataset_and_coders(dataset: neuralmonkey.dataset.dataset.Dataset, runners: Iterable[neuralmonkey.runners.base_runner.BaseRunner]) → None