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hub / github.com/XLechter/PCAN / conv3d

Function conv3d

tf_util.py:268–325  ·  view source on GitHub ↗

3D convolution with non-linear operation. Args: inputs: 5-D tensor variable BxDxHxWxC num_output_channels: int kernel_size: a list of 3 ints scope: string stride: a list of 3 ints padding: 'SAME' or 'VALID' use_xavier: bool, use xavier_initializer if true stddev:

(inputs,
           num_output_channels,
           kernel_size,
           scope,
           stride=[1, 1, 1],
           padding='SAME',
           use_xavier=True,
           stddev=1e-3,
           weight_decay=None,
           activation_fn=tf.nn.relu,
           bn=False,
           bn_decay=None,
           is_training=None)

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Callers

nothing calls this directly

Calls 3

_variable_on_cpuFunction · 0.85
batch_norm_for_conv3dFunction · 0.85

Tested by

no test coverage detected