Runs map_fn as a (static) for loop when possible. This function rewrites the map_fn as an explicit unstack input -> for loop over function calls

Tests new learning rates for Adam Optimizer.

Verify dense feature extraction with atrous convolution.

Verify dense feature extraction with atrous convolution.

Test that if the returned bit value is correct.

Tests that label map path will not by overwritten with empty string.

Tests that `eval_shuffle` keyword arguments are applied correctly.

Tests that number of classes can be retrieved.

Tests that number of classes can be retrieved.

Tests that overwriting with a bad key causes an exception.

Test the value of the converted label value.

Tests that keyword arguments get merged as do hyperparameters.

Tests new learning rates for Momentum Optimizer.

Tests that batch size is updated appropriately.

Tests that batch size is clipped to 1 from below.

Tests that the loss weight ratio is updated appropriately.

Tests that the loss weight ratio is updated appropriately.

Tests that label map path can be overwritten in input readers.

Tests that mask type can be overwritten in input readers.

Tests that new momentum value is updated appropriately.

Tests that train input path can be overwritten with single file.

Tests that train input path can be overwritten with multiple files.

Tests that `train_shuffle` keyword arguments are applied correctly.

Tests that overwriting with a bad valuye type causes an exception.

Tests that batch size is overwritten based on key/value.

Test the getd color map value.