public static interface OnnxMl.TensorAnnotationOrBuilder
extends com.google.protobuf.MessageOrBuilder
| Modifier and Type | Method and Description |
|---|---|
OnnxMl.StringStringEntryProto |
getQuantParameterTensorNames(int index)
<key, value> pairs to annotate tensor specified by <tensor_name> above.
|
int |
getQuantParameterTensorNamesCount()
<key, value> pairs to annotate tensor specified by <tensor_name> above.
|
java.util.List<OnnxMl.StringStringEntryProto> |
getQuantParameterTensorNamesList()
<key, value> pairs to annotate tensor specified by <tensor_name> above.
|
OnnxMl.StringStringEntryProtoOrBuilder |
getQuantParameterTensorNamesOrBuilder(int index)
<key, value> pairs to annotate tensor specified by <tensor_name> above.
|
java.util.List<? extends OnnxMl.StringStringEntryProtoOrBuilder> |
getQuantParameterTensorNamesOrBuilderList()
<key, value> pairs to annotate tensor specified by <tensor_name> above.
|
java.lang.String |
getTensorName()
optional string tensor_name = 1; |
com.google.protobuf.ByteString |
getTensorNameBytes()
optional string tensor_name = 1; |
boolean |
hasTensorName()
optional string tensor_name = 1; |
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneofboolean hasTensorName()
optional string tensor_name = 1;java.lang.String getTensorName()
optional string tensor_name = 1;com.google.protobuf.ByteString getTensorNameBytes()
optional string tensor_name = 1;java.util.List<OnnxMl.StringStringEntryProto> getQuantParameterTensorNamesList()
<key, value> pairs to annotate tensor specified by <tensor_name> above. The keys used in the mapping below must be pre-defined in ONNX spec. For example, for 8-bit linear quantization case, 'SCALE_TENSOR', 'ZERO_POINT_TENSOR' will be pre-defined as quantization parameter keys.
repeated .onnx.StringStringEntryProto quant_parameter_tensor_names = 2;OnnxMl.StringStringEntryProto getQuantParameterTensorNames(int index)
<key, value> pairs to annotate tensor specified by <tensor_name> above. The keys used in the mapping below must be pre-defined in ONNX spec. For example, for 8-bit linear quantization case, 'SCALE_TENSOR', 'ZERO_POINT_TENSOR' will be pre-defined as quantization parameter keys.
repeated .onnx.StringStringEntryProto quant_parameter_tensor_names = 2;int getQuantParameterTensorNamesCount()
<key, value> pairs to annotate tensor specified by <tensor_name> above. The keys used in the mapping below must be pre-defined in ONNX spec. For example, for 8-bit linear quantization case, 'SCALE_TENSOR', 'ZERO_POINT_TENSOR' will be pre-defined as quantization parameter keys.
repeated .onnx.StringStringEntryProto quant_parameter_tensor_names = 2;java.util.List<? extends OnnxMl.StringStringEntryProtoOrBuilder> getQuantParameterTensorNamesOrBuilderList()
<key, value> pairs to annotate tensor specified by <tensor_name> above. The keys used in the mapping below must be pre-defined in ONNX spec. For example, for 8-bit linear quantization case, 'SCALE_TENSOR', 'ZERO_POINT_TENSOR' will be pre-defined as quantization parameter keys.
repeated .onnx.StringStringEntryProto quant_parameter_tensor_names = 2;OnnxMl.StringStringEntryProtoOrBuilder getQuantParameterTensorNamesOrBuilder(int index)
<key, value> pairs to annotate tensor specified by <tensor_name> above. The keys used in the mapping below must be pre-defined in ONNX spec. For example, for 8-bit linear quantization case, 'SCALE_TENSOR', 'ZERO_POINT_TENSOR' will be pre-defined as quantization parameter keys.
repeated .onnx.StringStringEntryProto quant_parameter_tensor_names = 2;