mlx_zeros_like() mirrors mlx.core.zeros_like():
it creates a zero-filled array matching the source array's shape. Optionally override the dtype
or device.
Arguments
- x
An mlx array.
- dtype
Data type string. Supported types include:
Floating point:
"float32","float64"Integer:
"int8","int16","int32","int64","uint8","uint16","uint32","uint64"Other:
"bool","complex64"
Not all functions support all types. See individual function documentation.
- device
Execution target: supply
"gpu","cpu", or anmlx_streamcreated viamlx_new_stream(). Defaults to the currentmlx_default_device()unless noted otherwise (helpers that act on an existing array typically reuse that array's device or stream).