(inputs, stride, block_id)
| 93 | return w |
| 94 | |
| 95 | def _conv(inputs, stride, block_id): |
| 96 | return tf.nn.relu6( |
| 97 | tf.nn.conv2d(inputs, _weights("Conv2d_" + str(block_id)), stride, padding='SAME') |
| 98 | + _biases("Conv2d_" + str(block_id))) |
| 99 | |
| 100 | def _separable_conv(inputs, stride, block_id, dilations): |
| 101 | if dilations is None: |
no test coverage detected