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from torch.testing._internal.opinfo.core import (
BinaryUfuncInfo,
OpInfo,
ReductionOpInfo,
UnaryUfuncInfo,
)
# NOTE [Python References]
# Python References emulate existing PyTorch operations, but can ultimately
# be expressed in terms of "primitive" operations from torch._prims.
#
# These references are experimental.
# See https://dev-discuss.pytorch.org/t/tracing-with-primitives-update-0/577
# for additional context.
#
# Python Reference OpInfos should be added to the python_ref_db list below.
# Tests can opt-into running on these references by including
# that list in the Sequence they pass to the @ops decorator.
#
# When a Python Reference OpInfo is constructed a pointer to an
# existing OpInfo must be provided using the torch_opinfo_name kwarg.
# The existing OpInfo with that name and no variant will be found
# to inherit from.
#
# Instead of just inheriting the existing OpInfo's metadata, the
# Python Reference OpInfos inherit the existing OpInfo's
# construction arguments. These arguments can be overridden
# by adding kwargs to the constructor.
def _find_referenced_opinfo(referenced_name, variant_name, *, op_db=None):
"""
Finds the OpInfo with the given name that has no variant name.
"""
# NOTE: searching the global op_db doesn't work when OpInfos are split into
# different modules, as otherwise the op_db will not be fully constructed
# yet. So, instead the local op_db must be passed in explicitly.
if op_db is None:
from torch.testing._internal.common_methods_invocations import op_db
for opinfo in op_db:
if opinfo.name == referenced_name and opinfo.variant_test_name == variant_name:
return opinfo
def _inherit_constructor_args(name, op, inherited, overrides):
# inherits metadata
common_kwargs = {
"name": name,
"op": op,
"aliases": None, # TODO add a check for alias coverage
"method_variant": None,
"inplace_variant": None, # TODO: add a check for inplace coverage
"supports_scripting": False,
}
# Acquires inherited kwargs
kwargs = inherited.copy()
# Fixes metadata
if "kwargs" in kwargs:
kwargs.update(kwargs["kwargs"])
del kwargs["kwargs"]
if "self" in kwargs:
del kwargs["self"]
if "__class__" in kwargs:
del kwargs["__class__"]
if "skips" in kwargs:
del kwargs["skips"]
if "decorators" in kwargs:
del kwargs["decorators"]
# Overrides metadata
kwargs.update(common_kwargs)
kwargs.update(overrides)
# At the moment no prims support autograd, so we must not run autograd
# tests e.g. when testing dtype support. Once we start writing autograd
# formulas for prims this can be removed.
kwargs["supports_autograd"] = False
kwargs["supports_gradgrad"] = False
kwargs["supports_fwgrad_bwgrad"] = False
kwargs["supports_inplace_autograd"] = False
kwargs["supports_forward_ad"] = False
return kwargs
class PythonRefInfo(OpInfo):
"""
An OpInfo for a Python reference of an OpInfo base class operation.
"""
def __init__(
self,
name, # the stringname of the callable Python reference
*,
op=None, # the function variant of the operation, populated as torch.<name> if None
op_db=None, # The database of opinfos to search for the parent opinfo
torch_opinfo_name, # the string name of the corresponding torch opinfo
torch_opinfo_variant_name="", # the variant name for corresponding torch opinfo
validate_view_consistency=True,
supports_nvfuser=True,
**kwargs,
): # additional kwargs override kwargs inherited from the torch opinfo
self.torch_opinfo_name = torch_opinfo_name
self.torch_opinfo_variant_name = torch_opinfo_variant_name
self.torch_opinfo = _find_referenced_opinfo(
torch_opinfo_name, torch_opinfo_variant_name, op_db=op_db
)
self.validate_view_consistency = validate_view_consistency
self.supports_nvfuser = supports_nvfuser
assert isinstance(self.torch_opinfo, OpInfo)
inherited = self.torch_opinfo._original_opinfo_args
ukwargs = _inherit_constructor_args(name, op, inherited, kwargs)
super(PythonRefInfo, self).__init__(**ukwargs)
class ReductionPythonRefInfo(ReductionOpInfo):
"""
An OpInfo for a Python reference of an elementwise unary operation.
"""
def __init__(
self,
name, # the stringname of the callable Python reference
*,
op=None, # the function variant of the operation, populated as torch.<name> if None
op_db=None, # The database of opinfos to search for the parent opinfo
torch_opinfo_name, # the string name of the corresponding torch opinfo
torch_opinfo_variant_name="", # the variant name for corresponding torch opinfo
supports_nvfuser=True,
**kwargs,
): # additional kwargs override kwargs inherited from the torch opinfo
self.torch_opinfo_name = torch_opinfo_name
self.torch_opinfo_variant_name = torch_opinfo_variant_name
self.torch_opinfo = _find_referenced_opinfo(
torch_opinfo_name, torch_opinfo_variant_name, op_db=op_db
)
self.supports_nvfuser = supports_nvfuser
assert isinstance(self.torch_opinfo, ReductionOpInfo)
inherited = self.torch_opinfo._original_reduction_args
ukwargs = _inherit_constructor_args(name, op, inherited, kwargs)
# See https://github.com/pytorch/pytorch/issues/77216
self.validate_view_consistency = False
super().__init__(**ukwargs)
class ElementwiseUnaryPythonRefInfo(UnaryUfuncInfo):
"""
An OpInfo for a Python reference of an elementwise unary operation.
"""
def __init__(
self,
name, # the stringname of the callable Python reference
*,
op=None, # the function variant of the operation, populated as torch.<name> if None
op_db=None, # The database of opinfos to search for the parent opinfo
torch_opinfo_name, # the string name of the corresponding torch opinfo
torch_opinfo_variant_name="", # the variant name for corresponding torch opinfo
supports_nvfuser=True,
**kwargs,
): # additional kwargs override kwargs inherited from the torch opinfo
self.torch_opinfo_name = torch_opinfo_name
self.torch_opinfo_variant_name = torch_opinfo_variant_name
self.torch_opinfo = _find_referenced_opinfo(
torch_opinfo_name, torch_opinfo_variant_name, op_db=op_db
)
self.supports_nvfuser = supports_nvfuser
assert isinstance(self.torch_opinfo, UnaryUfuncInfo)
inherited = self.torch_opinfo._original_unary_ufunc_args
ukwargs = _inherit_constructor_args(name, op, inherited, kwargs)
super(ElementwiseUnaryPythonRefInfo, self).__init__(**ukwargs)
class ElementwiseBinaryPythonRefInfo(BinaryUfuncInfo):
"""
An OpInfo for a Python reference of an elementwise binary operation.
"""
def __init__(
self,
name, # the stringname of the callable Python reference
*,
op=None, # the function variant of the operation, populated as torch.<name> if None
op_db=None, # The database of opinfos to search for the parent opinfo
torch_opinfo_name, # the string name of the corresponding torch opinfo
torch_opinfo_variant_name="", # the variant name for corresponding torch opinfo
supports_nvfuser=True,
**kwargs,
): # additional kwargs override kwargs inherited from the torch opinfo
self.torch_opinfo_name = torch_opinfo_name
self.torch_opinfo_variant_name = torch_opinfo_variant_name
self.torch_opinfo = _find_referenced_opinfo(
torch_opinfo_name, torch_opinfo_variant_name, op_db=op_db
)
self.supports_nvfuser = supports_nvfuser
assert isinstance(self.torch_opinfo, BinaryUfuncInfo)
inherited = self.torch_opinfo._original_binary_ufunc_args
ukwargs = _inherit_constructor_args(name, op, inherited, kwargs)
super(ElementwiseBinaryPythonRefInfo, self).__init__(**ukwargs)
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