tf.compat.v1.Dimension

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Represents the value of one dimension in a TensorShape.

tf.compat.v1.Dimension(
    value
)

Attributes
value	The value of this dimension, or None if it is unknown.

Methods

assert_is_compatible_with

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assert_is_compatible_with(
    other
)

Raises an exception if other is not compatible with this Dimension.

Args
other	Another Dimension.

Raises
ValueError	If self and other are not compatible (see is_compatible_with).

is_compatible_with

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is_compatible_with(
    other
)

Returns true if other is compatible with this Dimension.

Two known Dimensions are compatible if they have the same value. An unknown Dimension is compatible with all other Dimensions.

Args
other	Another Dimension.

Returns
True if this Dimension and other are compatible.

merge_with

View source

merge_with(
    other
)

Returns a Dimension that combines the information in self and other.

Dimensions are combined as follows:

tf.compat.v1.Dimension(n)   .merge_with(tf.compat.v1.Dimension(n))     ==
tf.compat.v1.Dimension(n)
tf.compat.v1.Dimension(n)   .merge_with(tf.compat.v1.Dimension(None))  ==
tf.compat.v1.Dimension(n)
tf.compat.v1.Dimension(None).merge_with(tf.compat.v1.Dimension(n))     ==
tf.compat.v1.Dimension(n)
# equivalent to tf.compat.v1.Dimension(None)
tf.compat.v1.Dimension(None).merge_with(tf.compat.v1.Dimension(None))

# raises ValueError for n != m
tf.compat.v1.Dimension(n)   .merge_with(tf.compat.v1.Dimension(m))

Args
other	Another Dimension.

Returns
A Dimension containing the combined information of self and other.

Raises
ValueError	If self and other are not compatible (see is_compatible_with).

__add__

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__add__(
    other
)

Returns the sum of self and other.

Dimensions are summed as follows:

tf.compat.v1.Dimension(m)    + tf.compat.v1.Dimension(n)     ==
tf.compat.v1.Dimension(m + n)
tf.compat.v1.Dimension(m)    + tf.compat.v1.Dimension(None)  # equiv. to
tf.compat.v1.Dimension(None)
tf.compat.v1.Dimension(None) + tf.compat.v1.Dimension(n)     # equiv. to
tf.compat.v1.Dimension(None)
tf.compat.v1.Dimension(None) + tf.compat.v1.Dimension(None)  # equiv. to
tf.compat.v1.Dimension(None)

Args
other	Another Dimension, or a value accepted by as_dimension.

Returns
A Dimension whose value is the sum of self and other.

__div__

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__div__(
    other
)

DEPRECATED: Use __floordiv__ via x // y instead.

This function exists only for backwards compatibility purposes; new code should use __floordiv__ via the syntax x // y. Using x // y communicates clearly that the result rounds down, and is forward compatible to Python 3.

Args
other	Another Dimension.

Returns
A Dimension whose value is the integer quotient of self and other.

__eq__

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__eq__(
    other
)

Returns true if other has the same known value as this Dimension.

__floordiv__

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__floordiv__(
    other
)

Returns the quotient of self and other rounded down.

Dimensions are divided as follows:

tf.compat.v1.Dimension(m)    // tf.compat.v1.Dimension(n)     ==
tf.compat.v1.Dimension(m // n)
tf.compat.v1.Dimension(m)    // tf.compat.v1.Dimension(None)  # equiv. to
tf.compat.v1.Dimension(None)
tf.compat.v1.Dimension(None) // tf.compat.v1.Dimension(n)     # equiv. to
tf.compat.v1.Dimension(None)
tf.compat.v1.Dimension(None) // tf.compat.v1.Dimension(None)  # equiv. to
tf.compat.v1.Dimension(None)

Args
other	Another Dimension, or a value accepted by as_dimension.

Returns
A Dimension whose value is the integer quotient of self and other.

__ge__

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__ge__(
    other
)

Returns True if self is known to be greater than or equal to other.

Dimensions are compared as follows:

(tf.compat.v1.Dimension(m)    >= tf.compat.v1.Dimension(n))    == (m >= n)
(tf.compat.v1.Dimension(m)    >= tf.compat.v1.Dimension(None)) == None
(tf.compat.v1.Dimension(None) >= tf.compat.v1.Dimension(n))    == None
(tf.compat.v1.Dimension(None) >= tf.compat.v1.Dimension(None)) == None

Args
other	Another Dimension.

Returns
The value of self.value >= other.value if both are known, otherwise None.

__gt__

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__gt__(
    other
)

Returns True if self is known to be greater than other.

Dimensions are compared as follows:

(tf.compat.v1.Dimension(m)    > tf.compat.v1.Dimension(n))    == (m > n)
(tf.compat.v1.Dimension(m)    > tf.compat.v1.Dimension(None)) == None
(tf.compat.v1.Dimension(None) > tf.compat.v1.Dimension(n))    == None
(tf.compat.v1.Dimension(None) > tf.compat.v1.Dimension(None)) == None

Args
other	Another Dimension.

Returns
The value of self.value > other.value if both are known, otherwise None.

__le__

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__le__(
    other
)

Returns True if self is known to be less than or equal to other.

Dimensions are compared as follows:

(tf.compat.v1.Dimension(m)    <= tf.compat.v1.Dimension(n))    == (m <= n)
(tf.compat.v1.Dimension(m)    <= tf.compat.v1.Dimension(None)) == None
(tf.compat.v1.Dimension(None) <= tf.compat.v1.Dimension(n))    == None
(tf.compat.v1.Dimension(None) <= tf.compat.v1.Dimension(None)) == None

Args
other	Another Dimension.

Returns
The value of self.value <= other.value if both are known, otherwise None.

__lt__

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__lt__(
    other
)

Returns True if self is known to be less than other.

Dimensions are compared as follows:

(tf.compat.v1.Dimension(m)    < tf.compat.v1.Dimension(n))    == (m < n)
(tf.compat.v1.Dimension(m)    < tf.compat.v1.Dimension(None)) == None
(tf.compat.v1.Dimension(None) < tf.compat.v1.Dimension(n))    == None
(tf.compat.v1.Dimension(None) < tf.compat.v1.Dimension(None)) == None

Args
other	Another Dimension.

Returns
The value of self.value < other.value if both are known, otherwise None.

__mod__

View source

__mod__(
    other
)

Returns self modulo other.

Dimension moduli are computed as follows:

tf.compat.v1.Dimension(m)    % tf.compat.v1.Dimension(n)     ==
tf.compat.v1.Dimension(m % n)
tf.compat.v1.Dimension(m)    % tf.compat.v1.Dimension(None)  # equiv. to
tf.compat.v1.Dimension(None)
tf.compat.v1.Dimension(None) % tf.compat.v1.Dimension(n)     # equiv. to
tf.compat.v1.Dimension(None)
tf.compat.v1.Dimension(None) % tf.compat.v1.Dimension(None)  # equiv. to
tf.compat.v1.Dimension(None)

Args
other	Another Dimension, or a value accepted by as_dimension.

Returns
A Dimension whose value is self modulo other.

__mul__

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__mul__(
    other
)

Returns the product of self and other.

Dimensions are summed as follows:

tf.compat.v1.Dimension(m)    * tf.compat.v1.Dimension(n)     ==
tf.compat.v1.Dimension(m * n)
tf.compat.v1.Dimension(m)    * tf.compat.v1.Dimension(None)  # equiv. to
tf.compat.v1.Dimension(None)
tf.compat.v1.Dimension(None) * tf.compat.v1.Dimension(n)     # equiv. to
tf.compat.v1.Dimension(None)
tf.compat.v1.Dimension(None) * tf.compat.v1.Dimension(None)  # equiv. to
tf.compat.v1.Dimension(None)

Args
other	Another Dimension, or a value accepted by as_dimension.

Returns
A Dimension whose value is the product of self and other.

__ne__

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__ne__(
    other
)

Returns true if other has a different known value from self.

__radd__

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__radd__(
    other
)

Returns the sum of other and self.

Args
other	Another Dimension, or a value accepted by as_dimension.

Returns
A Dimension whose value is the sum of self and other.

__rdiv__

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__rdiv__(
    other
)

Use __floordiv__ via x // y instead.

This function exists only to have a better error message. Instead of: TypeError: unsupported operand type(s) for /: 'int' and 'Dimension', this function will explicitly call for usage of // instead.

Args
other	Another Dimension.

Raises
TypeError.

__rfloordiv__

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__rfloordiv__(
    other
)

Returns the quotient of other and self rounded down.

Args
other	Another Dimension, or a value accepted by as_dimension.

Returns
A Dimension whose value is the integer quotient of self and other.

__rmod__

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__rmod__(
    other
)

Returns other modulo self.

Args
other	Another Dimension, or a value accepted by as_dimension.

Returns
A Dimension whose value is other modulo self.

__rmul__

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__rmul__(
    other
)

Returns the product of self and other.

Args
other	Another Dimension, or a value accepted by as_dimension.

Returns
A Dimension whose value is the product of self and other.

__rsub__

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__rsub__(
    other
)

Returns the subtraction of self from other.

Args
other	Another Dimension, or a value accepted by as_dimension.

Returns
A Dimension whose value is the subtraction of self from other.

__rtruediv__

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__rtruediv__(
    other
)

Use __floordiv__ via x // y instead.

This function exists only to have a better error message. Instead of: TypeError: unsupported operand type(s) for /: 'int' and 'Dimension', this function will explicitly call for usage of // instead.

Args
other	Another Dimension.

Raises
TypeError.

__sub__

View source

__sub__(
    other
)

Returns the subtraction of other from self.

Dimensions are subtracted as follows:

tf.compat.v1.Dimension(m)    - tf.compat.v1.Dimension(n)     ==
tf.compat.v1.Dimension(m - n)
tf.compat.v1.Dimension(m)    - tf.compat.v1.Dimension(None)  # equiv. to
tf.compat.v1.Dimension(None)
tf.compat.v1.Dimension(None) - tf.compat.v1.Dimension(n)     # equiv. to
tf.compat.v1.Dimension(None)
tf.compat.v1.Dimension(None) - tf.compat.v1.Dimension(None)  # equiv. to
tf.compat.v1.Dimension(None)

Args
other	Another Dimension, or a value accepted by as_dimension.

Returns
A Dimension whose value is the subtraction of other from self.

__truediv__

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__truediv__(
    other
)

Use __floordiv__ via x // y instead.

This function exists only to have a better error message. Instead of: TypeError: unsupported operand type(s) for /: 'Dimension' and 'int', this function will explicitly call for usage of // instead.

Args
other	Another Dimension.

Raises
TypeError.