public static final class
TensorProto.Builder
Protocol buffer representing a tensor.
tensorflow.TensorProto
Public Methods
TensorProto.Builder |
addAllBoolVal(Iterable<? extends Boolean> values)
DT_BOOL repeated bool bool_val = 11 [packed = true];
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TensorProto.Builder |
addAllDcomplexVal(Iterable<? extends Double> values)
DT_COMPLEX128. |
TensorProto.Builder |
addAllDoubleVal(Iterable<? extends Double> values)
DT_DOUBLE. |
TensorProto.Builder |
addAllFloatVal(Iterable<? extends Float> values)
DT_FLOAT. |
TensorProto.Builder |
addAllHalfVal(Iterable<? extends Integer> values)
DT_HALF, DT_BFLOAT16. |
TensorProto.Builder |
addAllInt64Val(Iterable<? extends Long> values)
DT_INT64 repeated int64 int64_val = 10 [packed = true];
|
TensorProto.Builder |
addAllIntVal(Iterable<? extends Integer> values)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
TensorProto.Builder |
addAllResourceHandleVal(Iterable<? extends ResourceHandleProto> values)
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
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TensorProto.Builder |
addAllScomplexVal(Iterable<? extends Float> values)
DT_COMPLEX64. |
TensorProto.Builder |
addAllStringVal(Iterable<? extends ByteString> values)
DT_STRING repeated bytes string_val = 8;
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TensorProto.Builder |
addAllUint32Val(Iterable<? extends Integer> values)
DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
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TensorProto.Builder |
addAllUint64Val(Iterable<? extends Long> values)
DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
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TensorProto.Builder |
addAllVariantVal(Iterable<? extends VariantTensorDataProto> values)
DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
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TensorProto.Builder |
addBoolVal(boolean value)
DT_BOOL repeated bool bool_val = 11 [packed = true];
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TensorProto.Builder |
addDcomplexVal(double value)
DT_COMPLEX128. |
TensorProto.Builder |
addDoubleVal(double value)
DT_DOUBLE. |
TensorProto.Builder |
addFloatVal(float value)
DT_FLOAT. |
TensorProto.Builder |
addHalfVal(int value)
DT_HALF, DT_BFLOAT16. |
TensorProto.Builder |
addInt64Val(long value)
DT_INT64 repeated int64 int64_val = 10 [packed = true];
|
TensorProto.Builder |
addIntVal(int value)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
TensorProto.Builder |
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
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TensorProto.Builder |
addResourceHandleVal(int index, ResourceHandleProto.Builder builderForValue)
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
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TensorProto.Builder |
addResourceHandleVal(int index, ResourceHandleProto value)
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
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TensorProto.Builder |
addResourceHandleVal(ResourceHandleProto value)
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
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TensorProto.Builder |
addResourceHandleVal(ResourceHandleProto.Builder builderForValue)
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
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ResourceHandleProto.Builder |
addResourceHandleValBuilder(int index)
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
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ResourceHandleProto.Builder |
addResourceHandleValBuilder()
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
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TensorProto.Builder |
addScomplexVal(float value)
DT_COMPLEX64. |
TensorProto.Builder |
addStringVal(com.google.protobuf.ByteString value)
DT_STRING repeated bytes string_val = 8;
|
TensorProto.Builder |
addUint32Val(int value)
DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
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TensorProto.Builder |
addUint64Val(long value)
DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
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TensorProto.Builder |
addVariantVal(VariantTensorDataProto value)
DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
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TensorProto.Builder |
addVariantVal(int index, VariantTensorDataProto.Builder builderForValue)
DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
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TensorProto.Builder |
addVariantVal(int index, VariantTensorDataProto value)
DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
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TensorProto.Builder |
addVariantVal(VariantTensorDataProto.Builder builderForValue)
DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
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VariantTensorDataProto.Builder |
addVariantValBuilder(int index)
DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
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VariantTensorDataProto.Builder |
addVariantValBuilder()
DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
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TensorProto |
build()
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TensorProto | |
TensorProto.Builder |
clear()
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TensorProto.Builder |
clearBoolVal()
DT_BOOL repeated bool bool_val = 11 [packed = true];
|
TensorProto.Builder |
clearDcomplexVal()
DT_COMPLEX128. |
TensorProto.Builder |
clearDoubleVal()
DT_DOUBLE. |
TensorProto.Builder |
clearDtype()
.tensorflow.DataType dtype = 1;
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TensorProto.Builder |
clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
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TensorProto.Builder |
clearFloatVal()
DT_FLOAT. |
TensorProto.Builder |
clearHalfVal()
DT_HALF, DT_BFLOAT16. |
TensorProto.Builder |
clearInt64Val()
DT_INT64 repeated int64 int64_val = 10 [packed = true];
|
TensorProto.Builder |
clearIntVal()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
TensorProto.Builder |
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
|
TensorProto.Builder |
clearResourceHandleVal()
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
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TensorProto.Builder |
clearScomplexVal()
DT_COMPLEX64. |
TensorProto.Builder |
clearStringVal()
DT_STRING repeated bytes string_val = 8;
|
TensorProto.Builder |
clearTensorContent()
Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. |
TensorProto.Builder |
clearTensorShape()
Shape of the tensor. |
TensorProto.Builder |
clearUint32Val()
DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
|
TensorProto.Builder |
clearUint64Val()
DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
|
TensorProto.Builder |
clearVariantVal()
DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
|
TensorProto.Builder |
clearVersionNumber()
Version number. |
TensorProto.Builder |
clone()
|
boolean |
getBoolVal(int index)
DT_BOOL repeated bool bool_val = 11 [packed = true];
|
int |
getBoolValCount()
DT_BOOL repeated bool bool_val = 11 [packed = true];
|
List<Boolean> |
getBoolValList()
DT_BOOL repeated bool bool_val = 11 [packed = true];
|
double |
getDcomplexVal(int index)
DT_COMPLEX128. |
int |
getDcomplexValCount()
DT_COMPLEX128. |
List<Double> |
getDcomplexValList()
DT_COMPLEX128. |
TensorProto | |
final static com.google.protobuf.Descriptors.Descriptor | |
com.google.protobuf.Descriptors.Descriptor | |
double |
getDoubleVal(int index)
DT_DOUBLE. |
int |
getDoubleValCount()
DT_DOUBLE. |
List<Double> |
getDoubleValList()
DT_DOUBLE. |
DataType |
getDtype()
.tensorflow.DataType dtype = 1;
|
int |
getDtypeValue()
.tensorflow.DataType dtype = 1;
|
float |
getFloatVal(int index)
DT_FLOAT. |
int |
getFloatValCount()
DT_FLOAT. |
List<Float> |
getFloatValList()
DT_FLOAT. |
int |
getHalfVal(int index)
DT_HALF, DT_BFLOAT16. |
int |
getHalfValCount()
DT_HALF, DT_BFLOAT16. |
List<Integer> |
getHalfValList()
DT_HALF, DT_BFLOAT16. |
long |
getInt64Val(int index)
DT_INT64 repeated int64 int64_val = 10 [packed = true];
|
int |
getInt64ValCount()
DT_INT64 repeated int64 int64_val = 10 [packed = true];
|
List<Long> |
getInt64ValList()
DT_INT64 repeated int64 int64_val = 10 [packed = true];
|
int |
getIntVal(int index)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
int |
getIntValCount()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
List<Integer> |
getIntValList()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
ResourceHandleProto |
getResourceHandleVal(int index)
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
|
ResourceHandleProto.Builder |
getResourceHandleValBuilder(int index)
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
|
List<ResourceHandleProto.Builder> |
getResourceHandleValBuilderList()
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
|
int |
getResourceHandleValCount()
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
|
List<ResourceHandleProto> |
getResourceHandleValList()
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
|
ResourceHandleProtoOrBuilder |
getResourceHandleValOrBuilder(int index)
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
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List<? extends ResourceHandleProtoOrBuilder> |
getResourceHandleValOrBuilderList()
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
|
float |
getScomplexVal(int index)
DT_COMPLEX64. |
int |
getScomplexValCount()
DT_COMPLEX64. |
List<Float> |
getScomplexValList()
DT_COMPLEX64. |
com.google.protobuf.ByteString |
getStringVal(int index)
DT_STRING repeated bytes string_val = 8;
|
int |
getStringValCount()
DT_STRING repeated bytes string_val = 8;
|
List<ByteString> |
getStringValList()
DT_STRING repeated bytes string_val = 8;
|
com.google.protobuf.ByteString |
getTensorContent()
Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. |
TensorShapeProto |
getTensorShape()
Shape of the tensor. |
TensorShapeProto.Builder |
getTensorShapeBuilder()
Shape of the tensor. |
TensorShapeProtoOrBuilder |
getTensorShapeOrBuilder()
Shape of the tensor. |
int |
getUint32Val(int index)
DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
|
int |
getUint32ValCount()
DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
|
List<Integer> |
getUint32ValList()
DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
|
long |
getUint64Val(int index)
DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
|
int |
getUint64ValCount()
DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
|
List<Long> |
getUint64ValList()
DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
|
VariantTensorDataProto |
getVariantVal(int index)
DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
|
VariantTensorDataProto.Builder |
getVariantValBuilder(int index)
DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
|
List<VariantTensorDataProto.Builder> |
getVariantValBuilderList()
DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
|
int |
getVariantValCount()
DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
|
List<VariantTensorDataProto> |
getVariantValList()
DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
|
VariantTensorDataProtoOrBuilder |
getVariantValOrBuilder(int index)
DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
|
List<? extends VariantTensorDataProtoOrBuilder> |
getVariantValOrBuilderList()
DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
|
int |
getVersionNumber()
Version number. |
boolean |
hasTensorShape()
Shape of the tensor. |
final boolean | |
TensorProto.Builder |
mergeFrom(com.google.protobuf.Message other)
|
TensorProto.Builder |
mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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TensorProto.Builder | |
final TensorProto.Builder |
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
|
TensorProto.Builder |
removeResourceHandleVal(int index)
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
|
TensorProto.Builder |
removeVariantVal(int index)
DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
|
TensorProto.Builder |
setBoolVal(int index, boolean value)
DT_BOOL repeated bool bool_val = 11 [packed = true];
|
TensorProto.Builder |
setDcomplexVal(int index, double value)
DT_COMPLEX128. |
TensorProto.Builder |
setDoubleVal(int index, double value)
DT_DOUBLE. |
TensorProto.Builder | |
TensorProto.Builder |
setDtypeValue(int value)
.tensorflow.DataType dtype = 1;
|
TensorProto.Builder |
setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
|
TensorProto.Builder |
setFloatVal(int index, float value)
DT_FLOAT. |
TensorProto.Builder |
setHalfVal(int index, int value)
DT_HALF, DT_BFLOAT16. |
TensorProto.Builder |
setInt64Val(int index, long value)
DT_INT64 repeated int64 int64_val = 10 [packed = true];
|
TensorProto.Builder |
setIntVal(int index, int value)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
TensorProto.Builder |
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
|
TensorProto.Builder |
setResourceHandleVal(int index, ResourceHandleProto.Builder builderForValue)
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
|
TensorProto.Builder |
setResourceHandleVal(int index, ResourceHandleProto value)
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
|
TensorProto.Builder |
setScomplexVal(int index, float value)
DT_COMPLEX64. |
TensorProto.Builder |
setStringVal(int index, com.google.protobuf.ByteString value)
DT_STRING repeated bytes string_val = 8;
|
TensorProto.Builder |
setTensorContent(com.google.protobuf.ByteString value)
Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. |
TensorProto.Builder | |
TensorProto.Builder | |
TensorProto.Builder |
setUint32Val(int index, int value)
DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
|
TensorProto.Builder |
setUint64Val(int index, long value)
DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
|
final TensorProto.Builder |
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
|
TensorProto.Builder |
setVariantVal(int index, VariantTensorDataProto value)
DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
|
TensorProto.Builder |
setVariantVal(int index, VariantTensorDataProto.Builder builderForValue)
DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
|
TensorProto.Builder |
setVersionNumber(int value)
Version number. |
Inherited Methods
Public Methods
public TensorProto.Builder addAllBoolVal (Iterable<? extends Boolean> values)
DT_BOOL
repeated bool bool_val = 11 [packed = true];
public TensorProto.Builder addAllDcomplexVal (Iterable<? extends Double> values)
DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
repeated double dcomplex_val = 12 [packed = true];
public TensorProto.Builder addAllDoubleVal (Iterable<? extends Double> values)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
public TensorProto.Builder addAllFloatVal (Iterable<? extends Float> values)
DT_FLOAT.
repeated float float_val = 5 [packed = true];
public TensorProto.Builder addAllHalfVal (Iterable<? extends Integer> values)
DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll have some pointless zero padding for each value here.
repeated int32 half_val = 13 [packed = true];
public TensorProto.Builder addAllInt64Val (Iterable<? extends Long> values)
DT_INT64
repeated int64 int64_val = 10 [packed = true];
public TensorProto.Builder addAllIntVal (Iterable<? extends Integer> values)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
public TensorProto.Builder addAllResourceHandleVal (Iterable<? extends ResourceHandleProto> values)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public TensorProto.Builder addAllScomplexVal (Iterable<? extends Float> values)
DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
repeated float scomplex_val = 9 [packed = true];
public TensorProto.Builder addAllStringVal (Iterable<? extends ByteString> values)
DT_STRING
repeated bytes string_val = 8;
public TensorProto.Builder addAllUint32Val (Iterable<? extends Integer> values)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
public TensorProto.Builder addAllUint64Val (Iterable<? extends Long> values)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
public TensorProto.Builder addAllVariantVal (Iterable<? extends VariantTensorDataProto> values)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public TensorProto.Builder addBoolVal (boolean value)
DT_BOOL
repeated bool bool_val = 11 [packed = true];
public TensorProto.Builder addDcomplexVal (double value)
DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
repeated double dcomplex_val = 12 [packed = true];
public TensorProto.Builder addDoubleVal (double value)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
public TensorProto.Builder addFloatVal (float value)
DT_FLOAT.
repeated float float_val = 5 [packed = true];
public TensorProto.Builder addHalfVal (int value)
DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll have some pointless zero padding for each value here.
repeated int32 half_val = 13 [packed = true];
public TensorProto.Builder addInt64Val (long value)
DT_INT64
repeated int64 int64_val = 10 [packed = true];
public TensorProto.Builder addIntVal (int value)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
public TensorProto.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
public TensorProto.Builder addResourceHandleVal (int index, ResourceHandleProto.Builder builderForValue)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public TensorProto.Builder addResourceHandleVal (int index, ResourceHandleProto value)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public TensorProto.Builder addResourceHandleVal (ResourceHandleProto value)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public TensorProto.Builder addResourceHandleVal (ResourceHandleProto.Builder builderForValue)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public ResourceHandleProto.Builder addResourceHandleValBuilder (int index)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public ResourceHandleProto.Builder addResourceHandleValBuilder ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public TensorProto.Builder addScomplexVal (float value)
DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
repeated float scomplex_val = 9 [packed = true];
public TensorProto.Builder addStringVal (com.google.protobuf.ByteString value)
DT_STRING
repeated bytes string_val = 8;
public TensorProto.Builder addUint32Val (int value)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
public TensorProto.Builder addUint64Val (long value)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
public TensorProto.Builder addVariantVal (VariantTensorDataProto value)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public TensorProto.Builder addVariantVal (int index, VariantTensorDataProto.Builder builderForValue)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public TensorProto.Builder addVariantVal (int index, VariantTensorDataProto value)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public TensorProto.Builder addVariantVal (VariantTensorDataProto.Builder builderForValue)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public VariantTensorDataProto.Builder addVariantValBuilder (int index)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public VariantTensorDataProto.Builder addVariantValBuilder ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public TensorProto.Builder clearDcomplexVal ()
DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
repeated double dcomplex_val = 12 [packed = true];
public TensorProto.Builder clearDoubleVal ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
public TensorProto.Builder clearHalfVal ()
DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll have some pointless zero padding for each value here.
repeated int32 half_val = 13 [packed = true];
public TensorProto.Builder clearIntVal ()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
public TensorProto.Builder clearResourceHandleVal ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public TensorProto.Builder clearScomplexVal ()
DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
repeated float scomplex_val = 9 [packed = true];
public TensorProto.Builder clearTensorContent ()
Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. This representation can be used for all tensor types. The purpose of this representation is to reduce serialization overhead during RPC call by avoiding serialization of many repeated small items.
bytes tensor_content = 4;
public TensorProto.Builder clearTensorShape ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
public TensorProto.Builder clearUint32Val ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
public TensorProto.Builder clearUint64Val ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
public TensorProto.Builder clearVariantVal ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public TensorProto.Builder clearVersionNumber ()
Version number. In version 0, if the "repeated xxx" representations contain only one element, that element is repeated to fill the shape. This makes it easy to represent a constant Tensor with a single value.
int32 version_number = 3;
public boolean getBoolVal (int index)
DT_BOOL
repeated bool bool_val = 11 [packed = true];
public int getBoolValCount ()
DT_BOOL
repeated bool bool_val = 11 [packed = true];
public List<Boolean> getBoolValList ()
DT_BOOL
repeated bool bool_val = 11 [packed = true];
public double getDcomplexVal (int index)
DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
repeated double dcomplex_val = 12 [packed = true];
public int getDcomplexValCount ()
DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
repeated double dcomplex_val = 12 [packed = true];
public List<Double> getDcomplexValList ()
DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
repeated double dcomplex_val = 12 [packed = true];
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()
public double getDoubleVal (int index)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
public int getDoubleValCount ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
public List<Double> getDoubleValList ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
public int getDtypeValue ()
.tensorflow.DataType dtype = 1;
public float getFloatVal (int index)
DT_FLOAT.
repeated float float_val = 5 [packed = true];
public int getFloatValCount ()
DT_FLOAT.
repeated float float_val = 5 [packed = true];
public List<Float> getFloatValList ()
DT_FLOAT.
repeated float float_val = 5 [packed = true];
public int getHalfVal (int index)
DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll have some pointless zero padding for each value here.
repeated int32 half_val = 13 [packed = true];
public int getHalfValCount ()
DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll have some pointless zero padding for each value here.
repeated int32 half_val = 13 [packed = true];
public List<Integer> getHalfValList ()
DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll have some pointless zero padding for each value here.
repeated int32 half_val = 13 [packed = true];
public long getInt64Val (int index)
DT_INT64
repeated int64 int64_val = 10 [packed = true];
public int getInt64ValCount ()
DT_INT64
repeated int64 int64_val = 10 [packed = true];
public List<Long> getInt64ValList ()
DT_INT64
repeated int64 int64_val = 10 [packed = true];
public int getIntVal (int index)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
public int getIntValCount ()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
public List<Integer> getIntValList ()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
public ResourceHandleProto getResourceHandleVal (int index)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public ResourceHandleProto.Builder getResourceHandleValBuilder (int index)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public List<ResourceHandleProto.Builder> getResourceHandleValBuilderList ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public int getResourceHandleValCount ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public List<ResourceHandleProto> getResourceHandleValList ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (int index)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public List<? extends ResourceHandleProtoOrBuilder> getResourceHandleValOrBuilderList ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public float getScomplexVal (int index)
DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
repeated float scomplex_val = 9 [packed = true];
public int getScomplexValCount ()
DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
repeated float scomplex_val = 9 [packed = true];
public List<Float> getScomplexValList ()
DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
repeated float scomplex_val = 9 [packed = true];
public com.google.protobuf.ByteString getStringVal (int index)
DT_STRING
repeated bytes string_val = 8;
public int getStringValCount ()
DT_STRING
repeated bytes string_val = 8;
public List<ByteString> getStringValList ()
DT_STRING
repeated bytes string_val = 8;
public com.google.protobuf.ByteString getTensorContent ()
Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. This representation can be used for all tensor types. The purpose of this representation is to reduce serialization overhead during RPC call by avoiding serialization of many repeated small items.
bytes tensor_content = 4;
public TensorShapeProto getTensorShape ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
public TensorShapeProto.Builder getTensorShapeBuilder ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
public TensorShapeProtoOrBuilder getTensorShapeOrBuilder ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
public int getUint32Val (int index)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
public int getUint32ValCount ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
public List<Integer> getUint32ValList ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
public long getUint64Val (int index)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
public int getUint64ValCount ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
public List<Long> getUint64ValList ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
public VariantTensorDataProto getVariantVal (int index)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public VariantTensorDataProto.Builder getVariantValBuilder (int index)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public List<VariantTensorDataProto.Builder> getVariantValBuilderList ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public int getVariantValCount ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public List<VariantTensorDataProto> getVariantValList ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public VariantTensorDataProtoOrBuilder getVariantValOrBuilder (int index)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public List<? extends VariantTensorDataProtoOrBuilder> getVariantValOrBuilderList ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public int getVersionNumber ()
Version number. In version 0, if the "repeated xxx" representations contain only one element, that element is repeated to fill the shape. This makes it easy to represent a constant Tensor with a single value.
int32 version_number = 3;
public boolean hasTensorShape ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
public final boolean isInitialized ()
public TensorProto.Builder mergeFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Throws
IOException |
---|
public TensorProto.Builder mergeTensorShape (TensorShapeProto value)
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
public final TensorProto.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
public TensorProto.Builder removeResourceHandleVal (int index)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public TensorProto.Builder removeVariantVal (int index)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public TensorProto.Builder setBoolVal (int index, boolean value)
DT_BOOL
repeated bool bool_val = 11 [packed = true];
public TensorProto.Builder setDcomplexVal (int index, double value)
DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
repeated double dcomplex_val = 12 [packed = true];
public TensorProto.Builder setDoubleVal (int index, double value)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
public TensorProto.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
public TensorProto.Builder setFloatVal (int index, float value)
DT_FLOAT.
repeated float float_val = 5 [packed = true];
public TensorProto.Builder setHalfVal (int index, int value)
DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll have some pointless zero padding for each value here.
repeated int32 half_val = 13 [packed = true];
public TensorProto.Builder setInt64Val (int index, long value)
DT_INT64
repeated int64 int64_val = 10 [packed = true];
public TensorProto.Builder setIntVal (int index, int value)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
public TensorProto.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
public TensorProto.Builder setResourceHandleVal (int index, ResourceHandleProto.Builder builderForValue)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public TensorProto.Builder setResourceHandleVal (int index, ResourceHandleProto value)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public TensorProto.Builder setScomplexVal (int index, float value)
DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
repeated float scomplex_val = 9 [packed = true];
public TensorProto.Builder setStringVal (int index, com.google.protobuf.ByteString value)
DT_STRING
repeated bytes string_val = 8;
public TensorProto.Builder setTensorContent (com.google.protobuf.ByteString value)
Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. This representation can be used for all tensor types. The purpose of this representation is to reduce serialization overhead during RPC call by avoiding serialization of many repeated small items.
bytes tensor_content = 4;
public TensorProto.Builder setTensorShape (TensorShapeProto value)
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
public TensorProto.Builder setTensorShape (TensorShapeProto.Builder builderForValue)
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
public TensorProto.Builder setUint32Val (int index, int value)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
public TensorProto.Builder setUint64Val (int index, long value)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
public final TensorProto.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
public TensorProto.Builder setVariantVal (int index, VariantTensorDataProto value)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public TensorProto.Builder setVariantVal (int index, VariantTensorDataProto.Builder builderForValue)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public TensorProto.Builder setVersionNumber (int value)
Version number. In version 0, if the "repeated xxx" representations contain only one element, that element is repeated to fill the shape. This makes it easy to represent a constant Tensor with a single value.
int32 version_number = 3;