Mojo struct
TensorShape
A space efficient representation of a tensor shape. This struct implements value semantics and owns its underlying data.
Implemented traits
AnyType
,
CollectionElement
,
Copyable
,
EqualityComparable
,
Formattable
,
Movable
,
Stringable
Methods
__init__
__init__(inout self: Self)
Default initializer for TensorShape.
__init__(inout self: Self, shapes: Tuple[element_types])
Initializes a TensorShape from the values provided.
Args:
- shapes (
Tuple[element_types]
): The shapes to initialize the shape with.
__init__(inout self: Self, *shapes: Int)
Initializes a TensorShape from the values provided.
Args:
- *shapes (
Int
): The shapes to initialize the shape with.
__init__(inout self: Self, shapes: VariadicList[Int])
Initializes a TensorShape from the values provided.
Args:
- shapes (
VariadicList[Int]
): The shapes to initialize the shape with.
__init__(inout self: Self, shapes: List[Int, hint_trivial_type])
Initializes a TensorShape from the list provided.
Args:
- shapes (
List[Int, hint_trivial_type]
): The list to initialize the shape with.
__init__[rank: Int](inout self: Self, shapes: StaticIntTuple[rank])
Initializes a TensorShape from the values provided.
Parameters:
- rank (
Int
): The rank.
Args:
- shapes (
StaticIntTuple[rank]
): The shapes to initialize the shape with.
__copyinit__
__copyinit__(inout self: Self, other: Self)
Creates a deep copy of an existing shape.
Args:
- other (
Self
): The shape to copy.
__moveinit__
__moveinit__(inout self: Self, owned existing: Self)
Move initializer for the shape.
Args:
- existing (
Self
): The shape to move.
__del__
__del__(owned self: Self)
Delete the shape and release any owned memory.
__getitem__
__getitem__(self: Self, index: Int) -> Int
Gets the dimension at the specified index.
Args:
- index (
Int
): The dimension index.
Returns:
The dimension at the specified index.
__eq__
__eq__(self: Self, other: Self) -> Bool
Returns True if the two values are the same and False otherwise.
Args:
- other (
Self
): The other TensorShape to compare against.
Returns:
True if the two shapes are the same and False otherwise.
__ne__
__ne__(self: Self, other: Self) -> Bool
Returns True if the two values are not the same and False otherwise.
Args:
- other (
Self
): The other TensorShape to compare against.
Returns:
True if the two shapes are the not the same and False otherwise.
rank
rank(self: Self) -> Int
Gets the rank of the shape.
Returns:
The rank of the shape.
num_elements
num_elements(self: Self) -> Int
Gets the total number of elements in the shape.
Returns:
The total number of elements in the shape.
__repr__
__repr__(self: Self) -> String
Returns the string representation of the shape.
Returns:
The string representation of the shape.
__str__
__str__(self: Self) -> String
Returns the string representation of the shape.
Returns:
The string representation of the shape.
format_to
format_to(self: Self, inout writer: Formatter)
Formats this TensorShape to the provided formatter.
Args:
- writer (
Formatter
): The formatter to write to.
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