eebe967339d4f6577e240b68ba87942d3af4dcc0,tensorflow/python/keras/layers/normalization.py,BatchNormalizationBase,build,#BatchNormalizationBase#Any#,294

Before Change

        if self.fused is None:
          self.fused = ndims in (4, 5)
        elif self.fused and ndims not in (4, 5):
          raise ValueError("Batch normalization layers with fused=True only "
                           "support 4D or 5D input tensors.")
      else:
        assert self.fused is not None
        self.fused = (ndims in (4, 5) and self._fused_can_be_used())
      // TODO(chrisying): fused batch norm is currently not supported for

After Change

          raise ValueError("Batch normalization layers with `fused=True` only "
                           "support 4D or 5D input tensors. "
                           "Received tensor with shape: %s" %
                           (tuple(input_shape),))
      else:
        assert self.fused is not None
        self.fused = (ndims in (4, 5) and self._fused_can_be_used())

Instances