Python tensorflow.python.ops.nn.l2_normalize() Examples

The following are 6 code examples of tensorflow.python.ops.nn.l2_normalize(). 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 tensorflow.python.ops.nn , or try the search function .
Example #1
Source File: backend.py    From lambda-packs with MIT License 5 votes vote down vote up 
def l2_normalize(x, axis):
  """Normalizes a tensor wrt the L2 norm alongside the specified axis.

  Arguments:
      x: Tensor or variable.
      axis: axis along which to perform normalization.

  Returns:
      A tensor.
  """
  if axis < 0:
    axis %= len(x.get_shape())
  return nn.l2_normalize(x, dim=axis)
Example #2
Source File: test_forward.py    From training_results_v0.6 with Apache License 2.0 5 votes vote down vote up 
def test_forward_lrn():
    _test_lrn((1, 3, 20, 20), 3, 1, 1.0, 1.0, 0.5)

#######################################################################
# l2_normalize
# ------------
Example #3
Source File: test_forward.py    From training_results_v0.6 with Apache License 2.0 5 votes vote down vote up 
def _test_l2_normalize(ishape, eps, axis):
    """ testing l2 normalize (uses max, sum, square, sqrt frontend operators)"""

    inp_array = np.random.uniform(size=ishape).astype(np.float32)

    with tf.Graph().as_default():
        in1 = tf.placeholder(shape=inp_array.shape, dtype=inp_array.dtype)
        nn.l2_normalize(in1,
                        axis=axis,
                        epsilon=eps,
                        name=None,
                        dim=None)

        compare_tf_with_tvm(inp_array, 'Placeholder:0', 'l2_normalize:0')
Example #4
Source File: test_forward.py    From incubator-tvm with Apache License 2.0 5 votes vote down vote up 
def test_forward_lrn():
    _test_lrn((1, 3, 20, 20), 3, 1, 1.0, 1.0, 0.5)

#######################################################################
# l2_normalize
# ------------
Example #5
Source File: test_forward.py    From incubator-tvm with Apache License 2.0 5 votes vote down vote up 
def _test_l2_normalize(ishape, eps, axis):
    """ testing l2 normalize (uses max, sum, square, sqrt frontend operators)"""

    inp_array = np.random.uniform(size=ishape).astype(np.float32)

    with tf.Graph().as_default():
        in1 = tf.placeholder(shape=inp_array.shape, dtype=inp_array.dtype)
        nn.l2_normalize(in1,
                        axis=axis,
                        epsilon=eps,
                        name=None,
                        dim=None)

        compare_tf_with_tvm(inp_array, 'Placeholder:0', 'l2_normalize:0')
Example #6
Source File: backend.py    From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License 5 votes vote down vote up 
def l2_normalize(x, axis=None):
  """Normalizes a tensor wrt the L2 norm alongside the specified axis.

  Arguments:
      x: Tensor or variable.
      axis: axis along which to perform normalization.

  Returns:
      A tensor.
  """
  return nn.l2_normalize(x, dim=axis)