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| author |  Akshay Modi <nareshmodi@google.com> | 2018-06-18 09:57:19 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-06-18 09:59:59 -0700 |
| commit | e80732c9895d1283af9b98d6277ad1a1015e2e9a (patch) | |
| tree | 14895657394f9cdfed8435460e37fe89a45ba599 /tensorflow/contrib/fused_conv | |
| parent | 8ecf506fb8464dd273ce59f512f5e20d37dd5cfd (diff) | |
Merge changes from github.
PiperOrigin-RevId: 201011811
Diffstat (limited to 'tensorflow/contrib/fused_conv')
| -rw-r--r-- | tensorflow/contrib/fused_conv/python/ops/fused_conv2d_bias_activation_op_test.py | 11 |
1 files changed, 6 insertions, 5 deletions
diff --git a/tensorflow/contrib/fused_conv/python/ops/fused_conv2d_bias_activation_op_test.py b/tensorflow/contrib/fused_conv/python/ops/fused_conv2d_bias_activation_op_test.py index 65cb94b5a4..a955e21b72 100644 --- a/tensorflow/contrib/fused_conv/python/ops/fused_conv2d_bias_activation_op_test.py +++ b/tensorflow/contrib/fused_conv/python/ops/fused_conv2d_bias_activation_op_test.py @@ -301,8 +301,8 @@ class FusedConv2DBiasActivationTest(test.TestCase): conv = tensors[i] value = values[i] ref_value = ref_values[i] - print("expected = ", ref_value) - print("actual = ", value) + tf_logging.info("expected = ", ref_value) + tf_logging.info("actual = ", value) tol = 1e-5 if value.dtype == np.float16: tol = 1e-3 @@ -843,7 +843,8 @@ class FusedConvInt8Tests(test.TestCase): vertical_stride, padding_type) output_width = CalculateConvolvedOutputDim(input_width, filter_width, horizontal_stride, padding_type) - print("output_height=", output_height, ", output_width=", output_width) + tf_logging.info("output_height=", output_height, ", output_width=", + output_width) side_input, _, _ = gen_array_ops.quantize_v2( random_ops.random_uniform( @@ -880,8 +881,8 @@ class FusedConvInt8Tests(test.TestCase): with self.test_session( use_gpu=True, config=NoMemoryOptimizationConfig()) as sess: actual_y, expected_y = sess.run([actual, expected]) - print("actual_y = ", actual_y) - print("expected_y = ", expected_y) + tf_logging.info("actual_y = ", actual_y) + tf_logging.info("expected_y = ", expected_y) self.assertTrue(np.array_equal(actual_y, expected_y)) def testFusedConvInt8(self): |