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Results 131 - 140 of 233 for data_type_ (0.15 sec)
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tensorflow/compiler/jit/xla_compiler_options_util_test.cc
GetShapeDeterminationFns() { XlaHelpers::ShapeRepresentationFn shape_representation_fn = [](const TensorShape&, DataType, bool, XlaLayoutPreference) { return xla::Shape(); }; XlaShapeLayoutHelpers::LayoutPreferenceFn layout_preference_fn = [](const TensorShape&, DataType, std::optional<XlaArgument::Kind>) { return tensorflow::XlaLayoutPreference::kTpuPreferLinearLayout; };
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Dec 29 01:41:20 UTC 2023 - 14.8K bytes - Viewed (0) -
src/main/webapp/js/jquery-3.6.3.min.js
odified[f]),E.etag[f]&&T.setRequestHeader("If-None-Match",E.etag[f])),(y.data&&y.hasContent&&!1!==y.contentType||t.contentType)&&T.setRequestHeader("Content-Type",y.contentType),T.setRequestHeader("Accept",y.dataTypes[0]&&y.accepts[y.dataTypes[0]]?y.accepts[y.dataTypes[0]]+("*"!==y.dataTypes[0]?", "+It+"; q=0.01":""):y.accepts["*"]),y.headers)T.setRequestHeader(i,y.headers[i]);if(y.beforeSend&&(!1===y.beforeSend.call(v,T,y)||h))return T.abort();if(u="abort",b.add(y.complete),T.done(y.success),T....
Registered: Wed Jun 12 13:08:18 UTC 2024 - Last Modified: Fri Feb 17 12:13:41 UTC 2023 - 87.8K bytes - Viewed (0) -
tensorflow/cc/experimental/libtf/tests/function_test.cc
class FunctionTest : public ::testing::TestWithParam<std::tuple<const char*, bool>> { public: template <class T, TF_DataType datatype> impl::TaggedValueTensor CreateScalarTensor(T val) { AbstractTensorHandle* raw = nullptr; Status s = TestScalarTensorHandle<T, datatype>(ctx_.get(), val, &raw); CHECK_EQ(tensorflow::errors::OK, s.code()) << s.message(); return impl::TaggedValueTensor(raw, /*add_ref=*/false); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 19 21:44:52 UTC 2023 - 11.1K bytes - Viewed (0) -
platforms/core-configuration/declarative-dsl-core/src/test/kotlin/org/gradle/internal/declarativedsl/analysis/SubtypingTest.kt
val reason = error.errorReason assertIs<ErrorReason.AssignmentTypeMismatch>(reason) assertEquals(NotASubtype::class.simpleName, (((reason.actual.ref as DataTypeRef.Type).dataType as DataClass).name as DefaultFqName).simpleName) } } @Test fun `rejects function calls because of type mismatches`() { val result = schema.resolve( """
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue May 14 10:08:02 UTC 2024 - 4.1K bytes - Viewed (0) -
tensorflow/c/eager/c_api.cc
if (h) { tensorflow::unwrap(h)->Unref(); } } TF_DataType TFE_TensorHandleDataType(TFE_TensorHandle* h) { return static_cast<TF_DataType>(tensorflow::unwrap(h)->DataType()); } int TFE_TensorHandleNumDims(TFE_TensorHandle* h, TF_Status* status) { if (h == nullptr) { status->status = tensorflow::errors::InvalidArgument("Invalid handle"); return -1; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 08:11:23 UTC 2024 - 44K bytes - Viewed (0) -
tensorflow/c/kernels.cc
const char* attr_name, const TF_DataType type, TF_Status* status) { tensorflow::DataType dtype = static_cast<tensorflow::DataType>(type); tensorflow::AddTypeConstraint(kernel_builder, attr_name, dtype, status); } void TF_KernelBuilder_HostMemory(TF_KernelBuilder* kernel_builder,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 22:53:47 UTC 2024 - 36K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/internal/utils/test_metadata_config.cc
xla::Shape xla_shape = xla::TypeToShape(input_type); TF_RETURN_IF_ERROR(tensorflow::TensorShape::BuildTensorShape( xla_shape.dimensions(), &tensor_shape)); arg_shapes.emplace_back(tensor_shape); DataType dtype; TF_RETURN_IF_ERROR(ConvertToDataType(input_type, &dtype)); auto metadata_arg = metadata_proto.add_args(); metadata_arg->set_kind(tpu::TPUCompileMetadataProto::Arg::PARAMETER);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 13 23:59:33 UTC 2024 - 3.9K bytes - Viewed (0) -
fess-crawler/src/test/resources/ajax/js/jquery-2.1.1.min.js
odified[d]),n.etag[d]&&v.setRequestHeader("If-None-Match",n.etag[d])),(k.data&&k.hasContent&&k.contentType!==!1||b.contentType)&&v.setRequestHeader("Content-Type",k.contentType),v.setRequestHeader("Accept",k.dataTypes[0]&&k.accepts[k.dataTypes[0]]?k.accepts[k.dataTypes[0]]+("*"!==k.dataTypes[0]?", "+pc+"; q=0.01":""):k.accepts["*"]);for(j in k.headers)v.setRequestHeader(j,k.headers[j]);if(k.beforeSend&&(k.beforeSend.call(l,v,k)===!1||2===t))return v.abort();u="abort";for(j in{success:1,error:1,c...
Registered: Wed Jun 12 15:17:51 UTC 2024 - Last Modified: Sun Oct 11 02:16:55 UTC 2015 - 82.3K bytes - Viewed (0) -
tensorflow/c/experimental/ops/io_ops.cc
AbstractTensorHandle* const tensor_names, AbstractTensorHandle* const shape_and_slices, absl::Span<AbstractTensorHandle*> tensors, absl::Span<DataType> dtypes, const char* name, const char* raw_device_name) { AbstractOperationPtr op_ptr(ctx->CreateOperation()); TF_RETURN_IF_ERROR(op_ptr->Reset("RestoreV2", raw_device_name));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 17 17:54:34 UTC 2022 - 3.9K bytes - Viewed (0) -
tensorflow/c/experimental/saved_model/core/ops/variable_ops_test.cc
ImmediateTensorHandlePtr handle; TF_EXPECT_OK(internal::CreateUninitializedResourceVariable( context(), DT_FLOAT, {}, nullptr, &handle)); // The created TensorHandle should be a DT_Resource EXPECT_EQ(handle->DataType(), DT_RESOURCE); } // Sanity check for variable destruction TEST_F(VariableOpsTest, DestroyVariableSuccessful) { // Create a DT_Resource TensorHandle that points to a scalar DT_FLOAT tensor
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Aug 21 19:26:54 UTC 2020 - 3.8K bytes - Viewed (0)