layers_test.py 文件源码

def testCreateConv(self):
    height, width = 7, 9
    with self.test_session():
      images = np.random.uniform(size=(5, height, width, 4))
      output = layers_lib.convolution2d(images, 32, [3, 3])
      self.assertEqual(output.op.name, 'Conv/Relu')
      self.assertListEqual(output.get_shape().as_list(), [5, height, width, 32])
      weights = variables.get_variables_by_name('weights')[0]
      self.assertListEqual(weights.get_shape().as_list(), [3, 3, 4, 32])
      biases = variables.get_variables_by_name('biases')[0]
      self.assertListEqual(biases.get_shape().as_list(), [32])