def __repr__(self):
if context.executing_eagerly() and not self._in_graph_mode:
return "<tf.Variable '%s' shape=%s dtype=%s, numpy=%s>" % (
self.name, self.get_shape(), self.dtype.name,
ops.numpy_text(self.read_value(), is_repr=True))
else:
return "<tf.Variable '%s' shape=%s dtype=%s>" % (
self.name, self.get_shape(), self.dtype.name)
def __repr__(self):
if context.executing_eagerly() and not self._in_graph_mode:
repr_str = ("<AutoCastVariable '{v.name}' shape={v.shape} "
'dtype={v.dtype.name} true_dtype={v.true_dtype.name}, '
'numpy={np_repr}>')
return repr_str.format(
v=self, np_repr=ops.numpy_text(self.read_value(), is_repr=True))
else:
repr_str = ("<AutoCastVariable '{v.name}' shape={v.shape} "
'dtype={v.dtype.name} true_dtype={v.true_dtype.name}>')
return repr_str.format(v=self)
def __repr__(self):
if tf.executing_eagerly():
try:
value = self._value()
except Exception as e: # pylint: disable=broad-except
value = e
value_str = ', numpy={}'.format(value if isinstance(
value, Exception) else numpy_text(value, is_repr=True))
else:
value_str = ''
return '<{}: dtype={}, shape={}, fn={}{}>'.format(
type(self).__name__, self.dtype.name if self.dtype else '?',
str(self.shape.as_list() if self.shape.ndims is not None else '?').
replace('None', '?'), self._fwd_name, value_str)
