TensorProto

שיעור הגמר הציבורי TensorProto

 Protocol buffer representing a tensor.
 
סוג Protobuf tensorflow.TensorProto

כיתות מקוננות

מעמד TensorProto.Builder
 Protocol buffer representing a tensor. 

קבועים

int BOOL_VAL_FIELD_NUMBER
int DCOMPLEX_VAL_FIELD_NUMBER
int DOUBLE_VAL_FIELD_NUMBER
int DTYPE_FIELD_NUMBER
int FLOAT_VAL_FIELD_NUMBER
int HALF_VAL_FIELD_NUMBER
int INT64_VAL_FIELD_NUMBER
int INT_VAL_FIELD_NUMBER
int RESOURCE_HANDLE_VAL_FIELD_NUMBER
int SCOMPLEX_VAL_FIELD_NUMBER
int STRING_VAL_FIELD_NUMBER
int TENSOR_CONTENT_FIELD_NUMBER
int TENSOR_SHAPE_FIELD_NUMBER
int UINT32_VAL_FIELD_NUMBER
int UINT64_VAL_FIELD_NUMBER
int VARIANT_VAL_FIELD_NUMBER
int VERSION_NUMBER_FIELD_NUMBER

שיטות ציבוריות

בוליאני
שווה (Object obj)
בוליאני
getBoolVal (int index)
 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];
int
getBoolValCount ()
 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];
רשימה<בוליאנית>
getBoolValList ()
 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];
לְהַכפִּיל
getDcomplexVal (אינדקס int)
 DT_COMPLEX128.
int
getDcomplexValCount ()
 DT_COMPLEX128.
רשימה<כפול>
getDcomplexValList ()
 DT_COMPLEX128.
סטטי TensorProto
TensorProto
final static com.google.protobuf.Descriptors.Descriptor
לְהַכפִּיל
getDoubleVal (אינדקס int)
 DT_DOUBLE.
int
getDoubleValCount ()
 DT_DOUBLE.
רשימה<כפול>
getDoubleValList ()
 DT_DOUBLE.
סוג מידע
getDtype ()
.tensorflow.DataType dtype = 1;
int
getDtypeValue ()
.tensorflow.DataType dtype = 1;
לָצוּף
getFloatVal (אינדקס int)
 DT_FLOAT.
int
getFloatValCount ()
 DT_FLOAT.
רשימה <צף>
getFloatValList ()
 DT_FLOAT.
int
getHalfVal (int index)
 DT_HALF, DT_BFLOAT16.
int
getHalfValCount ()
 DT_HALF, DT_BFLOAT16.
רשימה <מספר שלם>
getHalfValList ()
 DT_HALF, DT_BFLOAT16.
ארוך
getInt64Val (אינדקס int)
 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];
int
getInt64ValCount ()
 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];
רשימה<ארוכה>
getInt64ValList ()
 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];
int
getIntVal (אינדקס int)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
int
getIntValCount ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
רשימה <מספר שלם>
getIntValList ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
ResourceHandleProto
getResourceHandleVal (int index)
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
int
getResourceHandleValCount ()
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
רשימה< ResourceHandleProto >
getResourceHandleValList ()
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProtoOrBuilder
getResourceHandleValOrBuilder (int index)
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
רשימה<? מרחיב את ResourceHandleProtoOrBuilder >
getResourceHandleValOrBuilderList ()
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
לָצוּף
getScomplexVal (אינדקס אינט)
 DT_COMPLEX64.
int
getScomplexValCount ()
 DT_COMPLEX64.
רשימה <צף>
getScomplexValList ()
 DT_COMPLEX64.
int
com.google.protobuf.ByteString
getStringVal (int index)
 DT_STRING
 
repeated bytes string_val = 8;
int
getStringValCount ()
 DT_STRING
 
repeated bytes string_val = 8;
רשימה<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.
TensorShapeProtoOrBuilder
getTensorShapeOrBuilder ()
 Shape of the tensor.
int
getUint32Val (אינדקס int)
 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];
int
getUint32ValCount ()
 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];
רשימה <מספר שלם>
getUint32ValList ()
 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];
ארוך
getUint64Val (אינדקס int)
 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];
int
getUint64ValCount ()
 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];
רשימה<ארוכה>
getUint64ValList ()
 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];
final com.google.protobuf.UnknownFieldSet
VariantTensorDataProto
getVariantVal (int index)
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
int
getVariantValCount ()
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
רשימה< VariantTensorDataProto >
getVariantValList ()
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProtoOrBuilder
getVariantValOrBuilder (int index)
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
רשימה<? מרחיב את VariantTensorDataProtoOrBuilder >
getVariantValOrBuilderList ()
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
int
getVersionNumber ()
 Version number.
בוליאני
hasTensorShape ()
 Shape of the tensor.
int
בוליאנית סופית
סטטי TensorProto.Builder
סטטי TensorProto.Builder
newBuilder (אב-טיפוס TensorProto )
TensorProto.Builder
סטטי TensorProto
parseDelimitedFrom (קלט InputStream)
סטטי TensorProto
parseDelimitedFrom (קלט InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
סטטי TensorProto
parseFrom (נתוני ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
סטטי TensorProto
parseFrom (קלט com.google.protobuf.CodedInputStream)
סטטי TensorProto
parseFrom (נתוני byte[], com.google.protobuf.ExtensionRegistryLite extensionRegistry)
סטטי TensorProto
parseFrom (נתוני ByteBuffer)
סטטי TensorProto
parseFrom (קלט com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
סטטי TensorProto
parseFrom (נתוני com.google.protobuf.ByteString)
סטטי TensorProto
parseFrom (קלט InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
סטטי TensorProto
parseFrom (נתוני com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
סטָטִי
TensorProto.Builder
בָּטֵל
writeTo (פלט com.google.protobuf.CodedOutputStream)

שיטות בירושה

קבועים

גמר סטטי ציבורי BOOL_VAL_FIELD_NUMBER

ערך קבוע: 11

גמר סטטי ציבורי DCOMPLEX_VAL_FIELD_NUMBER

ערך קבוע: 12

גמר סטטי ציבורי DOUBLE_VAL_FIELD_NUMBER

ערך קבוע: 6

גמר סטטי ציבורי DTYPE_FIELD_NUMBER

ערך קבוע: 1

גמר סטטי ציבורי FLOAT_VAL_FIELD_NUMBER

ערך קבוע: 5

גמר סטטי ציבורי HALF_VAL_FIELD_NUMBER

ערך קבוע: 13

אינט גמר סטטי ציבורי INT64_VAL_FIELD_NUMBER

ערך קבוע: 10

גמר סטטי ציבורי INT_VAL_FIELD_NUMBER

ערך קבוע: 7

אינט סופי סטטי ציבורי RESOURCE_HANDLE_VAL_FIELD_NUMBER

ערך קבוע: 14

סיום סטטי ציבורי SCOMPLEX_VAL_FIELD_NUMBER

ערך קבוע: 9

גמר סטטי ציבורי STRING_VAL_FIELD_NUMBER

ערך קבוע: 8

גמר סטטי ציבורי TENSOR_CONTENT_FIELD_NUMBER

ערך קבוע: 4

גמר סטטי ציבורי TENSOR_SHAPE_FIELD_NUMBER

ערך קבוע: 2

גמר סטטי ציבורי אינט UINT32_VAL_FIELD_NUMBER

ערך קבוע: 16

גמר סטטי ציבורי אינט UINT64_VAL_FIELD_NUMBER

ערך קבוע: 17

אינט סופי סטטי ציבורי VARIANT_VAL_FIELD_NUMBER

ערך קבוע: 15

אינט סופי סטטי ציבורי VERSION_NUMBER_FIELD_NUMBER

ערך קבוע: 3

שיטות ציבוריות

שווה ערך בוליאני ציבורי (Object obj)

getBoolVal בוליאני ציבורי (אינדקס אינט)

 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];

public int getBoolValCount ()

 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];

רשימה ציבורית<Boolean> getBoolValList ()

 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];

getDcomplexVal כפול כפול (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];

רשימה ציבורית<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];

סטטי ציבורי TensorProto getDefaultInstance ()

הציבור TensorProto getDefaultInstanceForType ()

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

getDoubleVal כפול ציבורי (int index)

 DT_DOUBLE.
 
repeated double double_val = 6 [packed = true];

public int getDoubleValCount ()

 DT_DOUBLE.
 
repeated double double_val = 6 [packed = true];

רשימה ציבורית<Double> getDoubleValList ()

 DT_DOUBLE.
 
repeated double double_val = 6 [packed = true];

public DataType getDtype ()

.tensorflow.DataType dtype = 1;

public int getDtypeValue ()

.tensorflow.DataType dtype = 1;

ציפה ציבורית getFloatVal (אינדקס אינט)

 DT_FLOAT.
 
repeated float float_val = 5 [packed = true];

public int getFloatValCount ()

 DT_FLOAT.
 
repeated float float_val = 5 [packed = true];

רשימה ציבורית<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];

רשימה ציבורית<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];

getInt64Val ציבורי ארוך (אינדקס int)

 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];

public int getInt64ValCount ()

 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];

רשימה ציבורית<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];

רשימה ציבורית<Integer> getIntValList ()

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
 
repeated int32 int_val = 7 [packed = true];

פּוּמְבֵּי getParserForType ()

public ResourceHandleProto getResourceHandleVal (אינדקס int)

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public int getResourceHandleValCount ()

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

רשימה ציבורית< 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;

רשימה ציבורית<? מרחיב את ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList ()

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

ציפה ציבורית getScomplexVal (אינדקס אינט)

 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];

רשימה ציבורית<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 int getSerializedSize ()

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;

רשימה ציבורית<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;

הציבור TensorShapeProto getTensorShape ()

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.
 
.tensorflow.TensorShapeProto tensor_shape = 2;

הציבור 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];

רשימה ציבורית<Integer> getUint32ValList ()

 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];

public long getUint64Val (אינדקס אינט)

 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];

public int getUint64ValCount ()

 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];

רשימה ציבורית<Long> getUint64ValList ()

 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];

public final com.google.protobuf.UnknownFieldSet getUnknownFields ()

public VariantTensorDataProto getVariantVal (int index)

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public int getVariantValCount ()

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

רשימה ציבורית< VariantTensorDataProto > getVariantValList ()

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

Public VariantTensorDataProtoOrBuilder getVariantValOrBuilder (int index)

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

רשימה ציבורית<? מרחיב 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;

יש TensorShape בוליאני ציבורי ()

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.
 
.tensorflow.TensorShapeProto tensor_shape = 2;

public int hashCode ()

בוליאני הסופי הציבורי הוא אתחול ()

סטטי ציבורי TensorProto.Builder newBuilder ()

TensorProto.Builder newBuilder סטטי ציבורי (אב-טיפוס TensorProto )

הציבור TensorProto.Builder newBuilderForType ()

ציבורי סטטי TensorProto parseDelimitedFrom (קלט InputStream)

זורק
IOException

ציבורי סטטי TensorProto parseDelimitedFrom (קלט InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

זורק
IOException

TensorProto parseFrom סטטי ציבורי (נתוני ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

זורק
InvalidProtocolBufferException

TensorProto parseFrom סטטי ציבורי (קלט com.google.protobuf.CodedInputStream)

זורק
IOException

ציבורי סטטי TensorProto parseFrom (נתוני byte[], com.google.protobuf.ExtensionRegistryLite extensionRegistry)

זורק
InvalidProtocolBufferException

TensorProto parseFrom סטטי ציבורי (נתוני ByteBuffer)

זורק
InvalidProtocolBufferException

TensorProto parseFrom סטטי ציבורי (קלט com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

זורק
IOException

TensorProto parseFrom סטטי ציבורי (נתוני com.google.protobuf.ByteString)

זורק
InvalidProtocolBufferException

TensorProto parseFrom סטטי ציבורי (קלט InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

זורק
IOException

TensorProto parseFrom סטטי ציבורי (נתוני com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

זורק
InvalidProtocolBufferException

סטטי ציבורי מנתח ()

הציבור TensorProto.Builder toBuilder ()

public void writeTo (פלט com.google.protobuf.CodedOutputStream)

זורק
IOException