(tensors)
| 108 | |
| 109 | |
| 110 | def _compute_shape(tensors): |
| 111 | if isinstance(tensors, list): |
| 112 | shape_mem = [t.get_shape().as_list() for t in tensors] |
| 113 | else: |
| 114 | shape_mem = tensors.get_shape().as_list() |
| 115 | return shape_mem |
| 116 | |
| 117 | |
| 118 | def batch_normalization(x, mean, variance, offset, scale, variance_epsilon, data_format, name=None): |
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