def count_up_to(ref, limit, name=None):
r"""Increments 'ref' until it reaches 'limit'.
Args:
ref: A Variable. Must be one of the following types: `int32`, `int64`.
Should be from a scalar `Variable` node.
limit: An `int`.
If incrementing ref would bring it above limit, instead generates an
'OutOfRange' error.
name: A name for the operation (optional).
Returns:
A `Tensor`. Has the same type as `ref`.
A copy of the input before increment. If nothing else modifies the
input, the values produced will all be distinct.
"""
if ref.dtype._is_ref_dtype:
return gen_state_ops.count_up_to(ref, limit=limit, name=name)
return gen_state_ops.resource_count_up_to(
ref.handle, limit, T=ref.dtype, name=name)
def count_up_to(ref, limit, name=None):
r"""Increments 'ref' until it reaches 'limit'.
Args:
ref: A Variable. Must be one of the following types: `int32`, `int64`.
Should be from a scalar `Variable` node.
limit: An `int`.
If incrementing ref would bring it above limit, instead generates an
'OutOfRange' error.
name: A name for the operation (optional).
Returns:
A `Tensor`. Has the same type as `ref`.
A copy of the input before increment. If nothing else modifies the
input, the values produced will all be distinct.
"""
if ref.dtype._is_ref_dtype:
return gen_state_ops.count_up_to(ref, limit=limit, name=name)
return gen_state_ops.resource_count_up_to(
ref.handle, limit, T=ref.dtype, name=name)
def count_up_to(self, limit):
"""Increments this variable until it reaches `limit`.
When that Op is run it tries to increment the variable by `1`. If
incrementing the variable would bring it above `limit` then the Op raises
the exception `OutOfRangeError`.
If no error is raised, the Op outputs the value of the variable before
the increment.
This is essentially a shortcut for `count_up_to(self, limit)`.
Args:
limit: value at which incrementing the variable raises an error.
Returns:
A `Tensor` that will hold the variable value before the increment. If no
other Op modifies this variable, the values produced will all be
distinct.
"""
return gen_state_ops.resource_count_up_to(self.handle, limit=limit,
T=self.dtype)
def count_up_to(self, limit):
"""Increments this variable until it reaches `limit`.
When that Op is run it tries to increment the variable by `1`. If
incrementing the variable would bring it above `limit` then the Op raises
the exception `OutOfRangeError`.
If no error is raised, the Op outputs the value of the variable before
the increment.
This is essentially a shortcut for `count_up_to(self, limit)`.
Args:
limit: value at which incrementing the variable raises an error.
Returns:
A `Tensor` that will hold the variable value before the increment. If no
other Op modifies this variable, the values produced will all be
distinct.
"""
return gen_state_ops.resource_count_up_to(self.handle, limit=limit,
T=self.dtype)
