diff options
Diffstat (limited to 'tensorflow/python/kernel_tests/depthwise_conv_op_test.py')
| -rw-r--r-- | tensorflow/python/kernel_tests/depthwise_conv_op_test.py | 20 |
1 files changed, 16 insertions, 4 deletions
diff --git a/tensorflow/python/kernel_tests/depthwise_conv_op_test.py b/tensorflow/python/kernel_tests/depthwise_conv_op_test.py index 3298092fbe..f7ae1a0f37 100644 --- a/tensorflow/python/kernel_tests/depthwise_conv_op_test.py +++ b/tensorflow/python/kernel_tests/depthwise_conv_op_test.py @@ -122,7 +122,9 @@ class DepthwiseConv2DTest(test.TestCase): x1 = [f * 1.0 for f in range(1, total_size_1 + 1)] x2 = [f * 1.0 for f in range(1, total_size_2 + 1)] with self.test_session(use_gpu=use_gpu) as sess: - if data_type == dtypes.float32: + if data_type == dtypes.float16: + tolerance = 1e-5 + elif data_type == dtypes.float32: tolerance = 1e-5 else: self.assertEqual(data_type, dtypes.float64) @@ -169,7 +171,7 @@ class DepthwiseConv2DTest(test.TestCase): padding) in enumerate(ConfigsToTest()): print("Testing DepthwiseConv2D,", index, "th config:", input_size, "*", filter_size, "stride:", stride, "padding:", padding) - for data_type in [dtypes.float32, dtypes.float64]: + for data_type in [dtypes.float16, dtypes.float32, dtypes.float64]: self._VerifyValues( input_size, filter_size, stride, padding, data_type, use_gpu=True) @@ -181,7 +183,7 @@ class DepthwiseConv2DTest(test.TestCase): padding) in enumerate(ConfigsToTest()): print("Testing DepthwiseConv2DFormat,", index, "th config:", input_size, "*", filter_size, "stride:", stride, "padding:", padding) - for data_type in [dtypes.float32, dtypes.float64]: + for data_type in [dtypes.float16, dtypes.float32, dtypes.float64]: self._VerifyValues( input_size, filter_size, @@ -318,7 +320,9 @@ class DepthwiseConv2DTest(test.TestCase): input_data = [x * 1.0 / input_size for x in range(0, input_size)] filter_data = [x * 1.0 / filter_size for x in range(0, filter_size)] with self.test_session(use_gpu=use_gpu): - if data_type == dtypes.float32: + if data_type == dtypes.float16: + tolerance = 0.002 + elif data_type == dtypes.float32: tolerance = 0.002 else: self.assertEqual(data_type, dtypes.float64) @@ -369,6 +373,8 @@ class DepthwiseConv2DTest(test.TestCase): print("Testing DepthwiseConv2DInputGrad,", index, "th config:", input_size, "*", filter_size, "stride:", stride, "padding:", padding) + # Note: float16 test for DepthwiseConv2DInputGrad is not enabled, + # calculations are not very precise. for data_type in [dtypes.float32, dtypes.float64]: self._ConstructAndTestGradient( input_size, @@ -389,6 +395,8 @@ class DepthwiseConv2DTest(test.TestCase): print("Testing DepthwiseConv2DInputGradFormat,", index, "th config:", input_size, "*", filter_size, "stride:", stride, "padding:", padding) + # Note: float16 test for DepthwiseConv2DInputGradFormat is not enabled, + # calculations are not very precise. for data_type in [dtypes.float32, dtypes.float64]: self._ConstructAndTestGradient( input_size, @@ -407,6 +415,8 @@ class DepthwiseConv2DTest(test.TestCase): print("Testing DepthwiseConv2DFilterGrad,", index, "th config:", input_size, "*", filter_size, "stride:", stride, "padding:", padding) + # Note: float16 test for DepthwiseConv2DFilterGrad is not enabled, + # calculations are not very precise. for data_type in [dtypes.float32, dtypes.float64]: self._ConstructAndTestGradient( input_size, @@ -427,6 +437,8 @@ class DepthwiseConv2DTest(test.TestCase): print("Testing DepthwiseConv2DFilterGradFormat,", index, "th config:", input_size, "*", filter_size, "stride:", stride, "padding:", padding) + # Note: float16 test for DepthwiseConv2DFilterGradFormat is not enabled, + # calculations are not very precise. for data_type in [dtypes.float32, dtypes.float64]: self._ConstructAndTestGradient( input_size, |