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Results 1 - 10 of 13 for _type (0.96 sec)
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src/runtime/mfinal.go
var allfin *finblock // list of all blocks // NOTE: Layout known to queuefinalizer. type finalizer struct { fn *funcval // function to call (may be a heap pointer) arg unsafe.Pointer // ptr to object (may be a heap pointer) nret uintptr // bytes of return values from fn fint *_type // type of first argument of fn ot *ptrtype // type of ptr to object (may be a heap pointer) } var finalizer1 = [...]byte{
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Jun 07 01:56:56 UTC 2024 - 19K bytes - Viewed (0) -
src/cmd/compile/internal/ssa/rewrite.go
lsym := sym.(*obj.LSym) for _, r := range lsym.R { if (r.Type == objabi.R_ADDR || r.Type == objabi.R_WEAKADDR) && int64(r.Off) == off { if strings.HasPrefix(r.Sym.Name, "type:") { // In case we're loading a type out of a dictionary, we need to record // that the containing function might put that type in an interface. // That information is currently recorded in relocations in the dictionary,
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Jun 07 19:02:52 UTC 2024 - 64.2K bytes - Viewed (0) -
src/cmd/compile/internal/ssagen/ssa.go
if !ptr.Type.IsPtr() || !types.Identical(n.Type(), ptr.Type.Elem()) { base.FatalfAt(n.Pos(), "setHeapaddr %L with type %v", n, ptr.Type) } // Declare variable to hold address. sym := &types.Sym{Name: "&" + n.Sym().Name, Pkg: types.LocalPkg} addr := s.curfn.NewLocal(pos, sym, types.NewPtr(n.Type())) addr.SetUsed(true) types.CalcSize(addr.Type()) if n.Class == ir.PPARAMOUT {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Jun 10 19:44:43 UTC 2024 - 284.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/internal/utils/test_metadata_config.cc
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); metadata_arg->set_dtype(dtype); } return absl::OkStatus(); } absl::Status SetupReturnValues(mlir::ModuleOp module,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 13 23:59:33 UTC 2024 - 3.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/lower_static_tensor_list.cc
OpT op, typename OpT::Adaptor adaptor, ConversionPatternRewriter &rewriter) const override { Type dtype = op.getElementDtype(); if (!(dtype.isF16() || dtype.isF32() || dtype.isF64() || dtype.isInteger(1) || dtype.isInteger(8) || dtype.isInteger(16) || dtype.isInteger(32) || dtype.isInteger(64))) { const char *error_info = "requires element_dtype to be 1-bit/8-bit/16-bit/32-bit/64-bit "
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 70.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
for dtype in dtype_list: lhs = tf.constant([-1, -5, -3, -14], dtype=dtype) rhs = tf.constant([5, 0, 7, 11], dtype=dtype) right_shift_result = bitwise_ops.right_shift(lhs, rhs) print(right_shift_result) # This will print: # tf.Tensor([-1 -5 -1 -1], shape=(4,), dtype=int8) # tf.Tensor([-1 -5 -1 -1], shape=(4,), dtype=int16)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_export.cc
} if (ftype.isF64()) { return tflite::TensorType_COMPLEX128; } return Status(absl::StatusCode::kInvalidArgument, "Unsupported type"); } else if (auto itype = mlir::dyn_cast<mlir::IntegerType>(type)) { switch (itype.getWidth()) { case 1: return tflite::TensorType_BOOL; case 4: if (itype.isUnsigned()) { return Status(absl::StatusCode::kInvalidArgument,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 164.5K bytes - Viewed (0) -
pkg/controller/job/job_controller.go
func ensureJobConditionStatus(list []batch.JobCondition, cType batch.JobConditionType, status v1.ConditionStatus, reason, message string, now time.Time) ([]batch.JobCondition, bool) { if condition := findConditionByType(list, cType); condition != nil { if condition.Status != status || condition.Reason != reason || condition.Message != message { *condition = *newCondition(cType, status, reason, message, now) return list, true }
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Mon Jun 10 23:56:37 UTC 2024 - 77.6K bytes - Viewed (0) -
RELEASE.md
the layer's dtype. If you had a model that used `float64`, it will probably silently use `float32` in TensorFlow2, and a warning will be issued that starts with Layer "layer-name" is casting an input tensor from dtype float64 to the layer's dtype of float32. To fix, either set the default dtype to float64 with
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0) -
pkg/kubelet/kubelet_pods.go
// node graceful shutdown). We do not re-generate the conditions based // on the container statuses as they are added based on one-time events. cType := v1.DisruptionTarget if _, condition := podutil.GetPodConditionFromList(oldPodStatus.Conditions, cType); condition != nil { s.Conditions = utilpod.ReplaceOrAppendPodCondition(s.Conditions, condition) } } // set all Kubelet-owned conditions
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Fri Jun 14 16:09:17 UTC 2024 - 101.2K bytes - Viewed (0)