diff options
Diffstat (limited to 'tensorflow/contrib/quantize/python/quantize_test.py')
| -rw-r--r-- | tensorflow/contrib/quantize/python/quantize_test.py | 25 |
1 files changed, 0 insertions, 25 deletions
diff --git a/tensorflow/contrib/quantize/python/quantize_test.py b/tensorflow/contrib/quantize/python/quantize_test.py index 1e4dd7cf67..eb141a21bd 100644 --- a/tensorflow/contrib/quantize/python/quantize_test.py +++ b/tensorflow/contrib/quantize/python/quantize_test.py @@ -30,7 +30,6 @@ from tensorflow.python.ops import nn_ops from tensorflow.python.platform import googletest conv2d = layers.conv2d -separable_conv2d = layers.separable_conv2d class QuantizeTest(test_util.TensorFlowTestCase): @@ -78,30 +77,6 @@ class QuantizeTest(test_util.TensorFlowTestCase): quantization_node_name) self.assertEqual(add_quant.type, quantization_node_name) - def testInsertQuantOpForAddAfterSeparableConv2d(self): - graph = ops.Graph() - with graph.as_default(): - batch_size, height, width, depth = 5, 128, 128, 3 - input1 = array_ops.zeros((batch_size, height, width, depth)) - input2 = array_ops.zeros((batch_size, height / 2, width / 2, depth)) - conv = separable_conv2d(input1, None, [5, 5], stride=2, - depth_multiplier=1.0, padding='SAME', - weights_initializer=self._WeightInit(0.09), - activation_fn=None, scope='test/test') - node = math_ops.add(conv, input2, name='test/add') - node = array_ops.identity(node, name='test/identity') - update_barrier = control_flow_ops.no_op(name='update_barrier') - with ops.control_dependencies([update_barrier]): - array_ops.identity(node, name='control_dependency') - - quantize.Quantize(graph=graph, weight_bits=8, weight_narrow_range=True, - activation_bits=8) - - quantization_node_name = 'FakeQuantWithMinMaxVars' - add_quant = graph.get_operation_by_name('test/add_quant/' + - quantization_node_name) - self.assertEqual(add_quant.type, quantization_node_name) - def _WeightInit(self, stddev): """Returns truncated normal variable initializer. |