How to use 'pytorch expand dimension' in Python

Every line of 'pytorch expand dimension' code snippets is scanned for vulnerabilities by our powerful machine learning engine that combs millions of open source libraries, ensuring your Python code is secure.

All examples are scanned by Snyk Code

By copying the Snyk Code Snippets you agree to

openAGI/tefla

29 def expand(inputs, num_outputs, **kwargs):
30     with tf.variable_scope('expand'):
31         e1x1 = conv2d(inputs, num_outputs, filter_size=(
32             1, 1), stride=(1, 1), name='1x1', **kwargs)
33         e3x3 = conv2d(inputs, num_outputs,
34                       filter_size=(3, 3), name='3x3', **kwargs)
35     return tf.concat([e1x1, e3x3], 3)

29	def expand(inputs, num_outputs, **kwargs):
30	with tf.variable_scope('expand'):
31	e1x1 = conv2d(inputs, num_outputs, filter_size=(
32	1, 1), stride=(1, 1), name='1x1', **kwargs)
33	e3x3 = conv2d(inputs, num_outputs,
34	filter_size=(3, 3), name='3x3', **kwargs)
35	return tf.concat([e1x1, e3x3], 3)

How to use 'pytorch expand dimension' in Python

All examples are scanned by Snyk Code

Related snippets