torch._ops._OpNamespace Class Reference

Inheritance diagram for torch._ops._OpNamespace:

Public Member Functions
def	__init__ (self, name)
def	__getattr__ (self, op_name)

Public Attributes
	name

Detailed Description

An op namespace to dynamically bind Operators into Python.

Say a user has created a custom Operator called "my_namespace::my_op". To
call this op, the user will write torch.ops.my_namespace.my_op(...).
At startup, this operation will not yet be bound into Python. Instead, the
following sequence of magic tricks will occur:
1. `torch.ops.my_namespace` will invoke the `__getattr__` magic method
   on the `torch.ops` object, which will create a new `_OpNamespace`
   object called `my_namespace` and set it as an attribute on the `ops`
   object.
2. `torch.ops.my_namespace.my_op` will then invoke `__getattr__` on
   the `my_namespace` object, which will retrieve the operation via
   `torch.get_operation`, a function bound from C++, and then in a similar
   fashion bind this new object onto the `my_namespace` object.
3. `torch.ops.my_namespace.my_op(...)` then calls this new operation
    and subsequent accesses will incur no further lookup (the namespace and
    operation will already exist).

Definition at line 32 of file _ops.py.

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The documentation for this class was generated from the following file:

• torch/_ops.py