מחלקה סופית סטטית ציבורית MemoryLogTensorAllocation.Builder
tensorflow.MemoryLogTensorAllocation
מסוג Protobuf.MemoryLogTensorAllocation
שיטות ציבוריות
MemoryLogTensorAllocation.Builder | addRepeatedField (שדה com.google.protobuf.Descriptors.FieldDescriptor, ערך אובייקט) |
MemoryLogTensorAllocation | לבנות () |
MemoryLogTensorAllocation | buildPartial () |
MemoryLogTensorAllocation.Builder | ברור () |
MemoryLogTensorAllocation.Builder | clearField (שדה com.google.protobuf.Descriptors.FieldDescriptor) |
MemoryLogTensorAllocation.Builder | clearKernelName () Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign". |
MemoryLogTensorAllocation.Builder | clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof) |
MemoryLogTensorAllocation.Builder | clearStepId () Process-unique step id. |
MemoryLogTensorAllocation.Builder | clearTensor () Allocated tensor details. |
MemoryLogTensorAllocation.Builder | שיבוט () |
MemoryLogTensorAllocation | |
final static com.google.protobuf.Descriptors.Descriptor | |
com.google.protobuf.Descriptors.Descriptor | |
חוּט | getKernelName () Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign". |
com.google.protobuf.ByteString | getKernelNameBytes () Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign". |
ארוך | getStepId () Process-unique step id. |
TensorDescription | getTensor () Allocated tensor details. |
TensorDescription.Builder | getTensorBuilder () Allocated tensor details. |
TensorDescriptionOrBuilder | getTensorOrBuilder () Allocated tensor details. |
בוליאני | hasTensor () Allocated tensor details. |
בוליאנית סופית | |
MemoryLogTensorAllocation.Builder | mergeFrom (קלט com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
MemoryLogTensorAllocation.Builder | mergeFrom (com.google.protobuf.Message אחר) |
MemoryLogTensorAllocation.Builder | |
final MemoryLogTensorAllocation.Builder | mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields) |
MemoryLogTensorAllocation.Builder | setField (שדה com.google.protobuf.Descriptors.FieldDescriptor, ערך אובייקט) |
MemoryLogTensorAllocation.Builder | setKernelName (ערך מחרוזת) Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign". |
MemoryLogTensorAllocation.Builder | setKernelNameBytes (ערך com.google.protobuf.ByteString) Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign". |
MemoryLogTensorAllocation.Builder | setRepeatedField (שדה com.google.protobuf.Descriptors.FieldDescriptor, אינדקס אינט, ערך אובייקט) |
MemoryLogTensorAllocation.Builder | setStepId (ערך ארוך) Process-unique step id. |
MemoryLogTensorAllocation.Builder | |
MemoryLogTensorAllocation.Builder | |
final MemoryLogTensorAllocation.Builder | setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields) |
שיטות בירושה
שיטות ציבוריות
Public MemoryLogTensorAllocation.Builder addRepeatedField (שדה com.google.protobuf.Descriptors.FieldDescriptor, ערך אובייקט)
Public MemoryLogTensorAllocation.Builder clearField (שדה com.google.protobuf.Descriptors.FieldDescriptor)
public MemoryLogTensorAllocation.Builder clearKernelName ()
Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
string kernel_name = 2;
Public MemoryLogTensorAllocation.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
Public MemoryLogTensorAllocation.Builder clearTensor ()
Allocated tensor details.
.tensorflow.TensorDescription tensor = 3;
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()
מחרוזת ציבורית getKernelName ()
Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
string kernel_name = 2;
public com.google.protobuf.ByteString getKernelNameBytes ()
Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
string kernel_name = 2;
public long getStepId ()
Process-unique step id.
int64 step_id = 1;
Public TensorDescription getTensor ()
Allocated tensor details.
.tensorflow.TensorDescription tensor = 3;
public TensorDescription.Builder getTensorBuilder ()
Allocated tensor details.
.tensorflow.TensorDescription tensor = 3;
public TensorDescriptionOrBuilder getTensorOrBuilder ()
Allocated tensor details.
.tensorflow.TensorDescription tensor = 3;
יש Tensor בוליאני ציבורי ()
Allocated tensor details.
.tensorflow.TensorDescription tensor = 3;
בוליאני הסופי הציבורי הוא אתחול ()
public MemoryLogTensorAllocation.Builder mergeFrom (קלט com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
זורק
IOException |
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public MemoryLogTensorAllocation.Builder mergeTensor (ערך TensorDescription )
Allocated tensor details.
.tensorflow.TensorDescription tensor = 3;
public final MemoryLogTensorAllocation.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
public MemoryLogTensorAllocation.Builder setField (שדה com.google.protobuf.Descriptors.FieldDescriptor, ערך אובייקט)
public MemoryLogTensorAllocation.Builder setKernelName (ערך מחרוזת)
Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
string kernel_name = 2;
public MemoryLogTensorAllocation.Builder setKernelNameBytes (ערך com.google.protobuf.ByteString)
Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
string kernel_name = 2;
public MemoryLogTensorAllocation.Builder setRepeatedField (שדה com.google.protobuf.Descriptors.FieldDescriptor, אינדקס int, ערך אובייקט)
public MemoryLogTensorAllocation.Builder setStepId (ערך ארוך)
Process-unique step id.
int64 step_id = 1;
Public MemoryLogTensorAllocation.Builder setTensor ( TensorDescription.Builder builderForValue)
Allocated tensor details.
.tensorflow.TensorDescription tensor = 3;
public MemoryLogTensorAllocation.Builder setTensor (ערך TensorDescription )
Allocated tensor details.
.tensorflow.TensorDescription tensor = 3;