For the complete documentation index, see llms.txt. Markdown versions of all pages are available by appending .md to any URL (e.g. /max/get-started.md).
Python class
BufferValue
BufferValue
class max.graph.BufferValue(value)
Bases: Value[BufferType]
Represents a mutable semantic tensor within a Graph.
Initializes a BufferValue from another value.
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Parameters:
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value (Value[Any] | _Value[mo.BufferType] | HasBufferValue) – The value to wrap, either an MLIR value of buffer type or another
BufferValue.
device
property device: DeviceRef
Returns the device of the BufferValue.
dtype
property dtype: DType
Returns the tensor data type.
from_mlir()
classmethod from_mlir(value)
Creates a BufferValue from an MLIR buffer value.
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Parameters:
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value (Value[BufferType]) – The MLIR buffer value to wrap.
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Return type:
print()
print(label='debug_buffer')
Prints detailed information about the buffer.
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Parameters:
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label (str)
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Return type:
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None
rank
property rank: int
Returns the rank (number of dims) of the buffer.
shape
property shape: Shape
Returns the shape of the BufferValue.
type
property type: BufferType
Returns the type of the BufferValue as a BufferType.
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