a218a906c70ef3b6e64267eb5596e4ad54cf0d96,batchflow/models/eager_torch/layers/resize.py,Crop,forward,#Crop#Any#,113

Before Change

        elif (i_shape[2] < r_shape[2]) or (i_shape[3] < r_shape[3]):
            // Increase input tensor"s shape by zero padding
            output = torch.zeros(*i_shape[:2], *r_shape[2:])
            output[:, :, :i_shape[2], :i_shape[3]] = inputs
        else:
            output = inputs
        return output

After Change

            // Increase input tensor"s shape by zero padding
            output = torch.zeros(*i_shape[:2], *r_shape[2:])
            shape = [slice(None, c) for c in i_shape[2:]]
            shape = tuple([slice(None, None), slice(None, None)] + shape)
            output[shape] = inputs
        else:
            output = inputs
        return output

Instances