def test_prune_does_not_change_exeuction(self):
proto = _create_proto_with_unnecessary_op()
reduced_proto = tensorflow_computation_transformations.prune_tensorflow_proto(
proto)
for k in range(5):
self.assertEqual(test_utils.run_tensorflow(proto, k),
test_utils.run_tensorflow(reduced_proto, k))
def test_does_not_reduce_no_unnecessary_ops(self):
comp = building_block_factory.create_compiled_identity(tf.int32)
pruned = building_blocks.CompiledComputation(
tensorflow_computation_transformations.prune_tensorflow_proto(
comp.proto))
ops_before = building_block_analysis.count_tensorflow_ops_in(comp)
ops_after = building_block_analysis.count_tensorflow_ops_in(pruned)
self.assertEqual(ops_before, ops_after)
def test_reduces_unnecessary_ops(self):
proto = _create_proto_with_unnecessary_op()
comp = building_blocks.CompiledComputation(proto)
reduced_proto = tensorflow_computation_transformations.prune_tensorflow_proto(
proto)
reduced_comp = building_blocks.CompiledComputation(reduced_proto)
ops_before = building_block_analysis.count_tensorflow_ops_in(comp)
ops_after = building_block_analysis.count_tensorflow_ops_in(reduced_comp)
self.assertLess(ops_after, ops_before)
def test_raises_on_compiled_computation(self):
tensor_type = computation_types.TensorType(tf.int32)
comp = building_block_factory.create_compiled_identity(tensor_type)
with self.assertRaises(TypeError):
tensorflow_computation_transformations.prune_tensorflow_proto(comp)
def test_raises_on_none(self):
with self.assertRaises(TypeError):
tensorflow_computation_transformations.prune_tensorflow_proto(None)
