LostTech.TensorFlow : API Documentation

Type Dimension

Namespace tensorflow

Parent PythonObjectContainer

Interfaces IDimension

Represents the value of one dimension in a TensorShape.

Methods

Properties

Public instance methods

object __add__(IEnumerable<object> other)

Returns the sum of `self` and `other`.

Dimensions are summed as follows:
Parameters
IEnumerable<object> other
Another Dimension, or a value accepted by `as_dimension`.
Returns
object
A Dimension whose value is the sum of `self` and `other`.
Show Example 
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)

object __add___dyn(object other)

Returns the sum of `self` and `other`.

Dimensions are summed as follows:
Parameters
object other
Another Dimension, or a value accepted by `as_dimension`.
Returns
object
A Dimension whose value is the sum of `self` and `other`.
Show Example 
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)

object __div___dyn(object 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.
Parameters
object other
Another `Dimension`.
Returns
object
A `Dimension` whose value is the integer quotient of `self` and `other`.

object __floordiv__(int other)

Returns the quotient of `self` and `other` rounded down.

Dimensions are divided as follows:
Parameters
int other
Another Dimension, or a value accepted by `as_dimension`.
Returns
object
A `Dimension` whose value is the integer quotient of `self` and `other`.
Show Example 
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)

object __floordiv__(Dimension other)

Returns the quotient of `self` and `other` rounded down.

Dimensions are divided as follows:
Parameters
Dimension other
Another Dimension, or a value accepted by `as_dimension`.
Returns
object
A `Dimension` whose value is the integer quotient of `self` and `other`.
Show Example 
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)

object __floordiv___dyn(object other)

Returns the quotient of `self` and `other` rounded down.

Dimensions are divided as follows:
Parameters
object other
Another Dimension, or a value accepted by `as_dimension`.
Returns
object
A `Dimension` whose value is the integer quotient of `self` and `other`.
Show Example 
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)

object __ge___dyn(object other)

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

Dimensions are compared as follows:
Parameters
object other
Another Dimension.
Returns
object
The value of `self.value >= other.value` if both are known, otherwise None.
Show Example 
(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

object __gt___dyn(object other)

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

Dimensions are compared as follows:
Parameters
object other
Another Dimension.
Returns
object
The value of `self.value > other.value` if both are known, otherwise None.
Show Example 
(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

Nullable<int> __index__()

object __index___dyn()

Nullable<int> __int__()

object __int___dyn()

object __le___dyn(object other)

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

Dimensions are compared as follows:
Parameters
object other
Another Dimension.
Returns
object
The value of `self.value <= other.value` if both are known, otherwise None.
Show Example 
(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

Nullable<int> __long__()

object __long___dyn()

object __lt___dyn(object other)

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

Dimensions are compared as follows:
Parameters
object other
Another Dimension.
Returns
object
The value of `self.value < other.value` if both are known, otherwise None.
Show Example 
(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

Dimension __mod__(Dimension other)

Returns `self` modulo `other`.

Dimension moduli are computed as follows:
Parameters
Dimension other
Another Dimension, or a value accepted by `as_dimension`.
Returns
Dimension
A Dimension whose value is `self` modulo `other`.
Show Example 
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)

Dimension __mod__(IGraphNodeBase other)

Returns `self` modulo `other`.

Dimension moduli are computed as follows:
Parameters
IGraphNodeBase other
Another Dimension, or a value accepted by `as_dimension`.
Returns
Dimension
A Dimension whose value is `self` modulo `other`.
Show Example 
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)

Dimension __mod__(int other)

Returns `self` modulo `other`.

Dimension moduli are computed as follows:
Parameters
int other
Another Dimension, or a value accepted by `as_dimension`.
Returns
Dimension
A Dimension whose value is `self` modulo `other`.
Show Example 
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)

object __mod___dyn(object other)

Returns `self` modulo `other`.

Dimension moduli are computed as follows:
Parameters
object other
Another Dimension, or a value accepted by `as_dimension`.
Returns
object
A Dimension whose value is `self` modulo `other`.
Show Example 
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)

object __mul___dyn(object other)

Returns the product of `self` and `other`.

Dimensions are summed as follows:
Parameters
object other
Another Dimension, or a value accepted by `as_dimension`.
Returns
object
A Dimension whose value is the product of `self` and `other`.
Show Example 
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)

object __radd__(IEnumerable<object> other)

Returns the sum of `other` and `self`.
Parameters
IEnumerable<object> other
Another Dimension, or a value accepted by `as_dimension`.
Returns
object
A Dimension whose value is the sum of `self` and `other`.

object __radd___dyn(object other)

Returns the sum of `other` and `self`.
Parameters
object other
Another Dimension, or a value accepted by `as_dimension`.
Returns
object
A Dimension whose value is the sum of `self` and `other`.

object __rdiv___dyn(object 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.
Parameters
object other
Another `Dimension`.

Dimension __rfloordiv__(IGraphNodeBase other)

Returns the quotient of `other` and `self` rounded down.
Parameters
IGraphNodeBase other
Another Dimension, or a value accepted by `as_dimension`.
Returns
Dimension
A `Dimension` whose value is the integer quotient of `self` and `other`.

Dimension __rfloordiv__(int other)

Returns the quotient of `other` and `self` rounded down.
Parameters
int other
Another Dimension, or a value accepted by `as_dimension`.
Returns
Dimension
A `Dimension` whose value is the integer quotient of `self` and `other`.

object __rfloordiv___dyn(object other)

Returns the quotient of `other` and `self` rounded down.
Parameters
object other
Another Dimension, or a value accepted by `as_dimension`.
Returns
object
A `Dimension` whose value is the integer quotient of `self` and `other`.

Dimension __rmod__(int other)

Returns `other` modulo `self`.
Parameters
int other
Another Dimension, or a value accepted by `as_dimension`.
Returns
Dimension
A Dimension whose value is `other` modulo `self`.

object __rmod___dyn(object other)

Returns `other` modulo `self`.
Parameters
object other
Another Dimension, or a value accepted by `as_dimension`.
Returns
object
A Dimension whose value is `other` modulo `self`.

object __rmul___dyn(object other)

Returns the product of `self` and `other`.
Parameters
object other
Another Dimension, or a value accepted by `as_dimension`.
Returns
object
A Dimension whose value is the product of `self` and `other`.

Dimension __rsub__(int other)

Returns the subtraction of `self` from `other`.
Parameters
int other
Another Dimension, or a value accepted by `as_dimension`.
Returns
Dimension
A Dimension whose value is the subtraction of `self` from `other`.

Dimension __rsub__(IGraphNodeBase other)

Returns the subtraction of `self` from `other`.
Parameters
IGraphNodeBase other
Another Dimension, or a value accepted by `as_dimension`.
Returns
Dimension
A Dimension whose value is the subtraction of `self` from `other`.

object __rsub___dyn(object other)

Returns the subtraction of `self` from `other`.
Parameters
object other
Another Dimension, or a value accepted by `as_dimension`.
Returns
object
A Dimension whose value is the subtraction of `self` from `other`.

void __rtruediv__(int 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.
Parameters
int other
Another `Dimension`.

object __rtruediv___dyn(object 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.
Parameters
object other
Another `Dimension`.

object __sub__(ndarray other)

Returns the subtraction of `other` from `self`.

Dimensions are subtracted as follows:
Parameters
ndarray other
Another Dimension, or a value accepted by `as_dimension`.
Returns
object
A Dimension whose value is the subtraction of `other` from `self`.
Show Example 
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)

object __sub__(Dimension other)

Returns the subtraction of `other` from `self`.

Dimensions are subtracted as follows:
Parameters
Dimension other
Another Dimension, or a value accepted by `as_dimension`.
Returns
object
A Dimension whose value is the subtraction of `other` from `self`.
Show Example 
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)

object __sub__(int other)

Returns the subtraction of `other` from `self`.

Dimensions are subtracted as follows:
Parameters
int other
Another Dimension, or a value accepted by `as_dimension`.
Returns
object
A Dimension whose value is the subtraction of `other` from `self`.
Show Example 
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)

object __sub__(IGraphNodeBase other)

Returns the subtraction of `other` from `self`.

Dimensions are subtracted as follows:
Parameters
IGraphNodeBase other
Another Dimension, or a value accepted by `as_dimension`.
Returns
object
A Dimension whose value is the subtraction of `other` from `self`.
Show Example 
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)

object __sub___dyn(object other)

Returns the subtraction of `other` from `self`.

Dimensions are subtracted as follows:
Parameters
object other
Another Dimension, or a value accepted by `as_dimension`.
Returns
object
A Dimension whose value is the subtraction of `other` from `self`.
Show Example 
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)

void __truediv__(int 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.
Parameters
int other
Another `Dimension`.

void __truediv__(Dimension 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.
Parameters
Dimension other
Another `Dimension`.

object __truediv___dyn(object 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.
Parameters
object other
Another `Dimension`.

void assert_is_compatible_with(object other)

Raises an exception if `other` is not compatible with this Dimension.
Parameters
object other
Another Dimension.

void assert_is_compatible_with(IEnumerable<object> other)

Raises exception if `self` and `other` do not represent the same shape.

This method can be used to assert that there exists a shape that both `self` and `other` represent.
Parameters
IEnumerable<object> other
Another TensorShape.

void assert_is_compatible_with(Dimension other)

Raises exception if `self` and `other` do not represent the same shape.

This method can be used to assert that there exists a shape that both `self` and `other` represent.
Parameters
Dimension other
Another TensorShape.

void assert_is_compatible_with(TensorShape other)

Raises exception if `self` and `other` do not represent the same shape.

This method can be used to assert that there exists a shape that both `self` and `other` represent.
Parameters
TensorShape other
Another TensorShape.

void assert_is_compatible_with(int other)

Raises exception if `self` and `other` do not represent the same shape.

This method can be used to assert that there exists a shape that both `self` and `other` represent.
Parameters
int other
Another TensorShape.

object assert_is_compatible_with_dyn(object other)

Raises exception if `self` and `other` do not represent the same shape.

This method can be used to assert that there exists a shape that both `self` and `other` represent.
Parameters
object other
Another TensorShape.

object is_compatible_with(IEnumerable<object> 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.
Parameters
IEnumerable<object> other
Another Dimension.
Returns
object
True if this Dimension and `other` are compatible.

object is_compatible_with(Dimension 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.
Parameters
Dimension other
Another Dimension.
Returns
object
True if this Dimension and `other` are compatible.

object is_compatible_with(PythonClassContainer 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.
Parameters
PythonClassContainer other
Another Dimension.
Returns
object
True if this Dimension and `other` are compatible.

object is_compatible_with(int other)

Returns True iff `self` is compatible with `other`.

Two possibly-partially-defined shapes are compatible if there exists a fully-defined shape that both shapes can represent. Thus, compatibility allows the shape inference code to reason about partially-defined shapes. For example:

* TensorShape(None) is compatible with all shapes.

* TensorShape([None, None]) is compatible with all two-dimensional shapes, such as TensorShape([32, 784]), and also TensorShape(None). It is not compatible with, for example, TensorShape([None]) or TensorShape([None, None, None]).

* TensorShape([32, None]) is compatible with all two-dimensional shapes with size 32 in the 0th dimension, and also TensorShape([None, None]) and TensorShape(None). It is not compatible with, for example, TensorShape([32]), TensorShape([32, None, 1]) or TensorShape([64, None]).

* TensorShape([32, 784]) is compatible with itself, and also TensorShape([32, None]), TensorShape([None, 784]), TensorShape([None, None]) and TensorShape(None). It is not compatible with, for example, TensorShape([32, 1, 784]) or TensorShape([None]).

The compatibility relation is reflexive and symmetric, but not transitive. For example, TensorShape([32, 784]) is compatible with TensorShape(None), and TensorShape(None) is compatible with TensorShape([4, 4]), but TensorShape([32, 784]) is not compatible with TensorShape([4, 4]).
Parameters
int other
Another TensorShape.
Returns
object
True iff `self` is compatible with `other`.

object is_compatible_with(TensorShape other)

Returns True iff `self` is compatible with `other`.

Two possibly-partially-defined shapes are compatible if there exists a fully-defined shape that both shapes can represent. Thus, compatibility allows the shape inference code to reason about partially-defined shapes. For example:

* TensorShape(None) is compatible with all shapes.

* TensorShape([None, None]) is compatible with all two-dimensional shapes, such as TensorShape([32, 784]), and also TensorShape(None). It is not compatible with, for example, TensorShape([None]) or TensorShape([None, None, None]).

* TensorShape([32, None]) is compatible with all two-dimensional shapes with size 32 in the 0th dimension, and also TensorShape([None, None]) and TensorShape(None). It is not compatible with, for example, TensorShape([32]), TensorShape([32, None, 1]) or TensorShape([64, None]).

* TensorShape([32, 784]) is compatible with itself, and also TensorShape([32, None]), TensorShape([None, 784]), TensorShape([None, None]) and TensorShape(None). It is not compatible with, for example, TensorShape([32, 1, 784]) or TensorShape([None]).

The compatibility relation is reflexive and symmetric, but not transitive. For example, TensorShape([32, 784]) is compatible with TensorShape(None), and TensorShape(None) is compatible with TensorShape([4, 4]), but TensorShape([32, 784]) is not compatible with TensorShape([4, 4]).
Parameters
TensorShape other
Another TensorShape.
Returns
object
True iff `self` is compatible with `other`.

object merge_with(TensorShape other)

Returns a `TensorShape` combining the information in `self` and `other`.

The dimensions in `self` and `other` are merged elementwise, according to the rules defined for `Dimension.merge_with()`.
Parameters
TensorShape other
Another `TensorShape`.
Returns
object
A `TensorShape` containing the combined information of `self` and `other`.

object merge_with(Dimension other)

Returns a `TensorShape` combining the information in `self` and `other`.

The dimensions in `self` and `other` are merged elementwise, according to the rules defined for `Dimension.merge_with()`.
Parameters
Dimension other
Another `TensorShape`.
Returns
object
A `TensorShape` containing the combined information of `self` and `other`.

object merge_with(object other)

Returns a `TensorShape` combining the information in `self` and `other`.

The dimensions in `self` and `other` are merged elementwise, according to the rules defined for `Dimension.merge_with()`.
Parameters
object other
Another `TensorShape`.
Returns
object
A `TensorShape` containing the combined information of `self` and `other`.

object merge_with(IEnumerable<object> other)

Returns a `TensorShape` combining the information in `self` and `other`.

The dimensions in `self` and `other` are merged elementwise, according to the rules defined for `Dimension.merge_with()`.
Parameters
IEnumerable<object> other
Another `TensorShape`.
Returns
object
A `TensorShape` containing the combined information of `self` and `other`.

object merge_with(int other)

Returns a `TensorShape` combining the information in `self` and `other`.

The dimensions in `self` and `other` are merged elementwise, according to the rules defined for `Dimension.merge_with()`.
Parameters
int other
Another `TensorShape`.
Returns
object
A `TensorShape` containing the combined information of `self` and `other`.

object merge_with_dyn(object other)

Returns a `TensorShape` combining the information in `self` and `other`.

The dimensions in `self` and `other` are merged elementwise, according to the rules defined for `Dimension.merge_with()`.
Parameters
object other
Another `TensorShape`.
Returns
object
A `TensorShape` containing the combined information of `self` and `other`.

Public properties

object PythonObject get;

Nullable<int> value get;

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

object value_dyn get;

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