e086b02bf4d19fbdcc751bfa876d03f2fcdaf375,tf_encrypted/tensor/int100.py,Int100Factory,tensor,#Int100Factory#Any#,97

Before Change

        if isinstance(value, tf.Tensor):
            if value.dtype is not self.native_type:
                value = tf.cast(value, dtype=self.native_type)
            return Int100Tensor(_crt_decompose(value))

        if isinstance(value, np.ndarray):
            return Int100Tensor(_crt_decompose(value))

After Change

            return Int100Tensor(backing)

        if isinstance(value, np.ndarray):
            backing = [
                tf.convert_to_tensor(v, dtype=INT_TYPE)
                for v in _crt_decompose(value)
            ]
            return Int100Tensor(backing)

        raise TypeError("Don"t know how to handle {}", type(value))

    def seeded_tensor(self, shape, seed):

Instances