Python models.default_batch_norm_params() Examples

The following are 30 code examples of models.default_batch_norm_params(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module models , or try the search function .
Example #1
Source File: models_test.py    From HumanRecognition with MIT License 5 votes vote down vote up 
def testGtsrbDecoderIsTrainingBatchNorm(self):
    self._testDecoder(40, 40, 4,
                      models.default_batch_norm_params(True),
                      getattr(models, 'gtsrb_decoder'))
Example #2
Source File: models_test.py    From multilabel-image-classification-tensorflow with MIT License 5 votes vote down vote up 
def testSmallDecoderIsTrainingBatchNorm(self):
    self._testDecoder(28, 28, 4, models.default_batch_norm_params(True))
Example #3
Source File: models_test.py    From models with Apache License 2.0 5 votes vote down vote up 
def testGtsrbDecoderBatchNorm(self):
    self._testDecoder(40, 40, 4,
                      models.default_batch_norm_params(False),
                      getattr(models, 'gtsrb_decoder'))
Example #4
Source File: models_test.py    From multilabel-image-classification-tensorflow with MIT License 5 votes vote down vote up 
def testGtsrbDecoderBatchNorm(self):
    self._testDecoder(40, 40, 4,
                      models.default_batch_norm_params(False),
                      getattr(models, 'gtsrb_decoder'))
Example #5
Source File: models_test.py    From multilabel-image-classification-tensorflow with MIT License 5 votes vote down vote up 
def testGtsrbDecoderIsTrainingBatchNorm(self):
    self._testDecoder(40, 40, 4,
                      models.default_batch_norm_params(True),
                      getattr(models, 'gtsrb_decoder'))
Example #6
Source File: models_test.py    From multilabel-image-classification-tensorflow with MIT License 5 votes vote down vote up 
def testLargeDecoderIsTrainingBatchNorm(self):
    self._testDecoder(32, 32, 4,
                      models.default_batch_norm_params(True),
                      getattr(models, 'large_decoder'))
Example #7
Source File: models_test.py    From multilabel-image-classification-tensorflow with MIT License 5 votes vote down vote up 
def testEncoderBatchNorm(self):
    self._testEncoder(models.default_batch_norm_params(False))
Example #8
Source File: models_test.py    From multilabel-image-classification-tensorflow with MIT License 5 votes vote down vote up 
def testEncoderIsTrainingBatchNorm(self):
    self._testEncoder(models.default_batch_norm_params(True))
Example #9
Source File: models_test.py    From multilabel-image-classification-tensorflow with MIT License 5 votes vote down vote up 
def testBuildPoseModelWithBatchNorm(self):
    images = tf.to_float(np.random.rand(10, 64, 64, 4))

    with self.test_session() as sess:
      logits, _ = getattr(models, 'dsn_cropped_linemod')(
          images, batch_norm_params=models.default_batch_norm_params(True))
      sess.run(tf.global_variables_initializer())
      logits_np = sess.run(logits)
    self.assertEqual(logits_np.shape, (10, 11))
    self.assertTrue(np.any(logits_np))
Example #10
Source File: models_test.py    From models with Apache License 2.0 5 votes vote down vote up 
def testGtsrbDecoderIsTrainingBatchNorm(self):
    self._testDecoder(40, 40, 4,
                      models.default_batch_norm_params(True),
                      getattr(models, 'gtsrb_decoder'))
Example #11
Source File: models_test.py    From multilabel-image-classification-tensorflow with MIT License 5 votes vote down vote up 
def testSmallDecoderBatchNorm(self):
    self._testDecoder(28, 28, 4, models.default_batch_norm_params(False))
Example #12
Source File: models_test.py    From g-tensorflow-models with Apache License 2.0 5 votes vote down vote up 
def testSmallDecoderBatchNorm(self):
    self._testDecoder(28, 28, 4, models.default_batch_norm_params(False))
Example #13
Source File: models_test.py    From g-tensorflow-models with Apache License 2.0 5 votes vote down vote up 
def testEncoderBatchNorm(self):
    self._testEncoder(models.default_batch_norm_params(False))
Example #14
Source File: models_test.py    From g-tensorflow-models with Apache License 2.0 5 votes vote down vote up 
def testEncoderIsTrainingBatchNorm(self):
    self._testEncoder(models.default_batch_norm_params(True))
Example #15
Source File: models_test.py    From g-tensorflow-models with Apache License 2.0 5 votes vote down vote up 
def testBuildPoseModelWithBatchNorm(self):
    images = tf.to_float(np.random.rand(10, 64, 64, 4))

    with self.test_session() as sess:
      logits, _ = getattr(models, 'dsn_cropped_linemod')(
          images, batch_norm_params=models.default_batch_norm_params(True))
      sess.run(tf.global_variables_initializer())
      logits_np = sess.run(logits)
    self.assertEqual(logits_np.shape, (10, 11))
    self.assertTrue(np.any(logits_np))
Example #16
Source File: models_test.py    From g-tensorflow-models with Apache License 2.0 5 votes vote down vote up 
def testSmallDecoderIsTrainingBatchNorm(self):
    self._testDecoder(28, 28, 4, models.default_batch_norm_params(True))
Example #17
Source File: models_test.py    From HumanRecognition with MIT License 5 votes vote down vote up 
def testGtsrbDecoderBatchNorm(self):
    self._testDecoder(40, 40, 4,
                      models.default_batch_norm_params(False),
                      getattr(models, 'gtsrb_decoder'))
Example #18
Source File: models_test.py    From HumanRecognition with MIT License 5 votes vote down vote up 
def testLargeDecoderIsTrainingBatchNorm(self):
    self._testDecoder(32, 32, 4,
                      models.default_batch_norm_params(True),
                      getattr(models, 'large_decoder'))
Example #19
Source File: models_test.py    From HumanRecognition with MIT License 5 votes vote down vote up 
def testSmallDecoderIsTrainingBatchNorm(self):
    self._testDecoder(28, 28, 4, models.default_batch_norm_params(True))
Example #20
Source File: models_test.py    From HumanRecognition with MIT License 5 votes vote down vote up 
def testSmallDecoderBatchNorm(self):
    self._testDecoder(28, 28, 4, models.default_batch_norm_params(False))
Example #21
Source File: models_test.py    From HumanRecognition with MIT License 5 votes vote down vote up 
def testEncoderBatchNorm(self):
    self._testEncoder(models.default_batch_norm_params(False))
Example #22
Source File: models_test.py    From HumanRecognition with MIT License 5 votes vote down vote up 
def testEncoderIsTrainingBatchNorm(self):
    self._testEncoder(models.default_batch_norm_params(True))
Example #23
Source File: models_test.py    From HumanRecognition with MIT License 5 votes vote down vote up 
def testBuildPoseModelWithBatchNorm(self):
    images = tf.to_float(np.random.rand(10, 64, 64, 4))

    with self.test_session() as sess:
      logits, _ = getattr(models, 'dsn_cropped_linemod')(
          images, batch_norm_params=models.default_batch_norm_params(True))
      sess.run(tf.global_variables_initializer())
      logits_np = sess.run(logits)
    self.assertEqual(logits_np.shape, (10, 11))
    self.assertTrue(np.any(logits_np))
Example #24
Source File: models_test.py    From object_detection_with_tensorflow with MIT License 5 votes vote down vote up 
def testGtsrbDecoderIsTrainingBatchNorm(self):
    self._testDecoder(40, 40, 4,
                      models.default_batch_norm_params(True),
                      getattr(models, 'gtsrb_decoder'))
Example #25
Source File: models_test.py    From object_detection_with_tensorflow with MIT License 5 votes vote down vote up 
def testGtsrbDecoderBatchNorm(self):
    self._testDecoder(40, 40, 4,
                      models.default_batch_norm_params(False),
                      getattr(models, 'gtsrb_decoder'))
Example #26
Source File: models_test.py    From object_detection_with_tensorflow with MIT License 5 votes vote down vote up 
def testLargeDecoderIsTrainingBatchNorm(self):
    self._testDecoder(32, 32, 4,
                      models.default_batch_norm_params(True),
                      getattr(models, 'large_decoder'))
Example #27
Source File: models_test.py    From object_detection_with_tensorflow with MIT License 5 votes vote down vote up 
def testSmallDecoderIsTrainingBatchNorm(self):
    self._testDecoder(28, 28, 4, models.default_batch_norm_params(True))
Example #28
Source File: models_test.py    From object_detection_with_tensorflow with MIT License 5 votes vote down vote up 
def testSmallDecoderBatchNorm(self):
    self._testDecoder(28, 28, 4, models.default_batch_norm_params(False))
Example #29
Source File: models_test.py    From object_detection_with_tensorflow with MIT License 5 votes vote down vote up 
def testEncoderBatchNorm(self):
    self._testEncoder(models.default_batch_norm_params(False))
Example #30
Source File: models_test.py    From object_detection_with_tensorflow with MIT License 5 votes vote down vote up 
def testEncoderIsTrainingBatchNorm(self):
    self._testEncoder(models.default_batch_norm_params(True))