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Results 11 - 20 of 41 for tape_ (0.04 sec)
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tensorflow/c/eager/gradients_test.cc
absl::Span<AbstractTensorHandle*> outputs) { Tape tape(/*persistent=*/false); tape.Watch(inputs[0]); AbstractTensorHandle* neg_output; TF_RETURN_IF_ERROR(ops::Neg(ctx, inputs[0], &neg_output, "Neg")); tape.RecordOperation(inputs, {neg_output}, nullptr, "Neg"); return tape.ComputeGradient(ctx, /*targets=*/{neg_output},
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 15 09:49:45 UTC 2024 - 7K bytes - Viewed (0) -
fastapi/_compat.py
if not ( field.shape == SHAPE_SINGLETON # type: ignore[attr-defined] and not lenient_issubclass(field.type_, BaseModel) and not lenient_issubclass(field.type_, dict) and not field_annotation_is_sequence(field.type_) and not is_dataclass(field.type_) and not isinstance(field_info, params.Body) ): return False
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 19:40:57 UTC 2024 - 22.6K bytes - Viewed (0) -
tensorflow/c/eager/gradients.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 15 09:49:45 UTC 2024 - 19.3K bytes - Viewed (0) -
fastapi/openapi/models.py
openIdConnect = "openIdConnect" class SecurityBase(BaseModelWithConfig): type_: SecuritySchemeType = Field(alias="type") description: Optional[str] = None class APIKeyIn(Enum): query = "query" header = "header" cookie = "cookie" class APIKey(SecurityBase): type_: SecuritySchemeType = Field(default=SecuritySchemeType.apiKey, alias="type")
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 22:49:33 UTC 2024 - 15K bytes - Viewed (0) -
src/runtime/defs_windows.go
} type memoryBasicInformation struct { baseAddress uintptr allocationBase uintptr allocationProtect uint32 regionSize uintptr state uint32 protect uint32 type_ uint32 } // https://learn.microsoft.com/en-us/windows-hardware/drivers/ddi/wdm/ns-wdm-_osversioninfow type _OSVERSIONINFOW struct { osVersionInfoSize uint32 majorVersion uint32
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Mar 21 11:49:46 UTC 2024 - 2.5K bytes - Viewed (0) -
tests/test_compat.py
from fastapi._compat import is_pv1_scalar_field field_info = FieldInfo() field = ModelField( name="foo", field_info=field_info, type_=Union[str, List[int]], class_validators={}, model_config=BaseConfig, ) assert not is_pv1_scalar_field(field) @needs_pydanticv2 def test_get_model_config():
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Sep 28 04:14:40 UTC 2023 - 2.8K bytes - Viewed (0) -
tensorflow/c/eager/tracing_utils.cc
==============================================================================*/ #include "tensorflow/c/eager/tracing_utils.h" #include "tensorflow/c/eager/c_api_unified_experimental_internal.h" #include "tensorflow/c/experimental/gradients/tape/tape_operation.h" #include "tensorflow/core/lib/llvm_rtti/llvm_rtti.h" #include "tensorflow/core/platform/errors.h" namespace tensorflow { namespace tracing {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Feb 27 13:57:45 UTC 2024 - 1.4K bytes - Viewed (0) -
src/cmd/compile/internal/syntax/parser.go
p.want(_Lbrack) t := new(MapType) t.pos = pos t.Key = p.type_() p.want(_Rbrack) t.Value = p.type_() return t case _Struct: return p.structType() case _Interface: return p.interfaceType() case _Name: return p.qualifiedName(nil) case _Lparen: p.next() t := p.type_() p.want(_Rparen) return t } return nil }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 30 19:19:55 UTC 2024 - 62.9K bytes - Viewed (0) -
tensorflow/c/eager/BUILD
"//tensorflow/core:test", "//tensorflow/core:test_main", "@com_google_absl//absl/strings", ], ) cc_library( name = "tape", hdrs = ["tape.h"], visibility = ["//tensorflow:internal"], deps = [ "//tensorflow/core:framework", "//tensorflow/core:lib", "//tensorflow/core/config:flag_defs",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 11 23:52:39 UTC 2024 - 33.3K bytes - Viewed (0) -
fastapi/encoders.py
) -> Dict[Callable[[Any], Any], Tuple[Any, ...]]: encoders_by_class_tuples: Dict[Callable[[Any], Any], Tuple[Any, ...]] = defaultdict( tuple ) for type_, encoder in type_encoder_map.items(): encoders_by_class_tuples[encoder] += (type_,) return encoders_by_class_tuples encoders_by_class_tuples = generate_encoders_by_class_tuples(ENCODERS_BY_TYPE) def jsonable_encoder( obj: Annotated[
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 21:56:59 UTC 2024 - 10.8K bytes - Viewed (0)