93dcb7c1001fa25adc27fa516c170a3e78d38da6,dataset/models/tf/layers/conv_block.py,,conv_block,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,82

Before Change

                args = dict(fused=True, axis=axis, training=is_training)

            elif layer == "r":
                args = dict(pooling_ratio=kwargs.get("pooling_ratio", 1.4142),
                            pseudo_random=kwargs.get("pseudo_random", False),
                            overlapping=kwargs.get("overlapping", False),
                            data_format=data_format)

            elif C_GROUPS[layer] == "p":
                args = dict(pool_size=pool_size, strides=pool_strides, padding=padding,
                            data_format=data_format)

After Change

            elif C_GROUPS[layer] == "P":
                if layer == "P":
                    pool_op = kwargs.pop("global_pool_op", "max")
                elif layer == "V":
                    pool_op = "mean"
                args = dict(pool_op=pool_op, data_format=data_format)

Instances