کلاس نهایی استاتیک عمومی MemoryLogTensorAllocation.Builder
نوع Protobuf tensorflow.MemoryLogTensorAllocation
روش های عمومی
| MemoryLogTensorAllocation.Builder | addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor فیلد، مقدار Object) |
| MemoryLogTensorAllocation | ساختن () |
| MemoryLogTensorAllocation | ساخت جزئی () |
| MemoryLogTensorAllocation.Builder | روشن () |
| MemoryLogTensorAllocation.Builder | clearField (فیلد 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 | شبیه () |
| MemoryLogTensorAllocation | |
| نهایی static com.google.protobuf.Descriptors.Descriptor | |
| com.google.protobuf.Descriptors.Descriptor | |
| رشته | 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". |
| طولانی | getStepId () Process-unique step id. |
| TensorDescription | getTensor () Allocated tensor details. |
| TensorDescription.Builder | getTensorBuilder () Allocated tensor details. |
| TensorDescriptionOrBuilder | getTensorOrBuilder () Allocated tensor details. |
| بولی | hasTensor () Allocated tensor details. |
| بولی نهایی | |
| MemoryLogTensorAllocation.Builder | mergeFrom (ورودی com.google.protobuf.CodedInputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
| MemoryLogTensorAllocation.Builder | mergeFrom (com.google.protobuf.Message other) |
| MemoryLogTensorAllocation.Builder | |
| نهایی MemoryLogTensorAllocation.Builder | mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields) |
| MemoryLogTensorAllocation.Builder | setField (com.google.protobuf.Descriptors.FieldDescriptor فیلد، مقدار Object) |
| MemoryLogTensorAllocation.Builder | setKernelName (مقدار رشته) Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign". |
| MemoryLogTensorAllocation.Builder | setKernelNameBytes (مقدار com.google.protobuf.ByteString) Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign". |
| MemoryLogTensorAllocation.Builder | setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor، نمایه int، مقدار Object) |
| MemoryLogTensorAllocation.Builder | setStepId (مقدار طولانی) Process-unique step id. |
| MemoryLogTensorAllocation.Builder | |
| MemoryLogTensorAllocation.Builder | |
| نهایی MemoryLogTensorAllocation.Builder | setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields) |
روش های ارثی
روش های عمومی
عمومی MemoryLogTensorAllocation.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor، مقدار Object)
عمومی MemoryLogTensorAllocation.Builder clearField (فیلد com.google.protobuf.Descriptors.FieldDescriptor)
عمومی MemoryLogTensorAllocation.Builder clearKernelName ()
Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
string kernel_name = 2; عمومی MemoryLogTensorAllocation.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
عمومی MemoryLogTensorAllocation.Builder clearTensor ()
Allocated tensor details.
.tensorflow.TensorDescription tensor = 3; public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()
عمومی com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()
رشته عمومی 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; عمومی طولانی getStepId ()
Process-unique step id.
int64 step_id = 1; عمومی TensorDescription getTensor ()
Allocated tensor details.
.tensorflow.TensorDescription tensor = 3; عمومی TensorDescription.Builder getTensorBuilder ()
Allocated tensor details.
.tensorflow.TensorDescription tensor = 3; عمومی TensorDescriptionOrBuilder getTensorOrBuilder ()
Allocated tensor details.
.tensorflow.TensorDescription tensor = 3; hasTensor بولین عمومی ()
Allocated tensor details.
.tensorflow.TensorDescription tensor = 3; بولین نهایی عمومی isInitialized ()
عمومی MemoryLogTensorAllocation.Builder mergeFrom (ورودی com.google.protobuf.CodedInputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
پرتاب می کند
| IOException |
|---|
عمومی MemoryLogTensorAllocation.Builder mergeTensor (مقدار TensorDescription )
Allocated tensor details.
.tensorflow.TensorDescription tensor = 3; نهایی عمومی MemoryLogTensorAllocation.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)
public MemoryLogTensorAllocation.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor فیلد، مقدار Object)
عمومی MemoryLogTensorAllocation.Builder setKernelName (مقدار رشته)
Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
string kernel_name = 2; عمومی MemoryLogTensorAllocation.Builder setKernelNameBytes (مقدار com.google.protobuf.ByteString)
Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
string kernel_name = 2; عمومی MemoryLogTensorAllocation.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor، نمایه int، مقدار Object)
عمومی MemoryLogTensorAllocation.Builder setStepId (مقدار طولانی)
Process-unique step id.
int64 step_id = 1;عمومی MemoryLogTensorAllocation.Builder setTensor ( TensorDescription.Builder builderForValue)
Allocated tensor details.
.tensorflow.TensorDescription tensor = 3; عمومی MemoryLogTensorAllocation.Builder setTensor (مقدار TensorDescription )
Allocated tensor details.
.tensorflow.TensorDescription tensor = 3;