TensorShapeProto

کلاس نهایی عمومی TensorShapeProto

 Dimensions of a tensor.
 
نوع Protobuf tensorflow.TensorShapeProto

کلاس های تو در تو

کلاس TensorShapeProto.Builder
 Dimensions of a tensor. 
کلاس TensorShapeProto.Dim
 One dimension of the tensor. 
رابط TensorShapeProto.DimOrBuilder

ثابت ها

بین المللی DIM_FIELD_NUMBER
بین المللی UNKNOWN_RANK_FIELD_NUMBER

روش های عمومی

بولی
برابر است (object obj)
Static TensorShapeProto
TensorShapeProto
نهایی static com.google.protobuf.Descriptors.Descriptor
TensorShapeProto.Dim
getDim (شاخص int)
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
بین المللی
getDimCount ()
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
فهرست < TensorShapeProto.Dim >
getDimList ()
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
TensorShapeProto.DimOrBuilder
getDimOrBuilder (int index)
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
لیست<? TensorShapeProto.DimOrBuilder را گسترش می دهد
getDimOrBuilderList ()
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
بین المللی
com.google.protobuf.UnknownFieldSet نهایی
بولی
getUnknownRank ()
 If true, the number of dimensions in the shape is unknown.
بین المللی
بولی نهایی
Static TensorShapeProto.Builder
newBuilder (نمونه اولیه TensorShapeProto )
Static TensorShapeProto.Builder
TensorShapeProto.Builder
Static TensorShapeProto
parseDelimitedFrom (ورودی جریان ورودی)
Static TensorShapeProto
parseDelimitedFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Static TensorShapeProto
parseFrom (داده های ByteBuffer)
Static TensorShapeProto
parseFrom (ورودی com.google.protobuf.CodedInputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Static TensorShapeProto
parseFrom (داده‌های ByteBuffer، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Static TensorShapeProto
parseFrom (ورودی com.google.protobuf.CodedInputStream)
Static TensorShapeProto
parseFrom (بایت[] داده، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Static TensorShapeProto
parseFrom (داده های com.google.protobuf.ByteString)
Static TensorShapeProto
parseFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Static TensorShapeProto
parseFrom (داده‌های com.google.protobuf.ByteString، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ایستا
TensorShapeProto.Builder
خالی
writeTo (خروجی com.google.protobuf.CodedOutputStream)

روش های ارثی

ثابت ها

DIM_FIELD_NUMBER نهایی استاتیک عمومی

مقدار ثابت: 2

نهایی استاتیک عمومی UNKNOWN_RANK_FIELD_NUMBER

مقدار ثابت: 3

روش های عمومی

بولین عمومی برابر است (Object Obj)

عمومی Static TensorShapeProto getDefaultInstance ()

عمومی TensorShapeProto getDefaultInstanceForType ()

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

عمومی TensorShapeProto.Dim getDim (int index)

 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.  If an entry has size -1, this
 corresponds to a dimension of unknown size. The names are
 optional.
 The order of entries in "dim" matters: It indicates the layout of the
 values in the tensor in-memory representation.
 The first entry in "dim" is the outermost dimension used to layout the
 values, the last entry is the innermost dimension.  This matches the
 in-memory layout of RowMajor Eigen tensors.
 If "dim.size()" > 0, "unknown_rank" must be false.
 
repeated .tensorflow.TensorShapeProto.Dim dim = 2;

عمومی int getDimCount ()

 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.  If an entry has size -1, this
 corresponds to a dimension of unknown size. The names are
 optional.
 The order of entries in "dim" matters: It indicates the layout of the
 values in the tensor in-memory representation.
 The first entry in "dim" is the outermost dimension used to layout the
 values, the last entry is the innermost dimension.  This matches the
 in-memory layout of RowMajor Eigen tensors.
 If "dim.size()" > 0, "unknown_rank" must be false.
 
repeated .tensorflow.TensorShapeProto.Dim dim = 2;

لیست عمومی< TensorShapeProto.Dim > getDimList ()

 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.  If an entry has size -1, this
 corresponds to a dimension of unknown size. The names are
 optional.
 The order of entries in "dim" matters: It indicates the layout of the
 values in the tensor in-memory representation.
 The first entry in "dim" is the outermost dimension used to layout the
 values, the last entry is the innermost dimension.  This matches the
 in-memory layout of RowMajor Eigen tensors.
 If "dim.size()" > 0, "unknown_rank" must be false.
 
repeated .tensorflow.TensorShapeProto.Dim dim = 2;

عمومی TensorShapeProto.DimOrBuilder getDimOrBuilder (int index)

 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.  If an entry has size -1, this
 corresponds to a dimension of unknown size. The names are
 optional.
 The order of entries in "dim" matters: It indicates the layout of the
 values in the tensor in-memory representation.
 The first entry in "dim" is the outermost dimension used to layout the
 values, the last entry is the innermost dimension.  This matches the
 in-memory layout of RowMajor Eigen tensors.
 If "dim.size()" > 0, "unknown_rank" must be false.
 
repeated .tensorflow.TensorShapeProto.Dim dim = 2;

لیست عمومی<? گسترش TensorShapeProto.DimOrBuilder > getDimOrBuilderList ()

 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.  If an entry has size -1, this
 corresponds to a dimension of unknown size. The names are
 optional.
 The order of entries in "dim" matters: It indicates the layout of the
 values in the tensor in-memory representation.
 The first entry in "dim" is the outermost dimension used to layout the
 values, the last entry is the innermost dimension.  This matches the
 in-memory layout of RowMajor Eigen tensors.
 If "dim.size()" > 0, "unknown_rank" must be false.
 
repeated .tensorflow.TensorShapeProto.Dim dim = 2;

عمومی getParserForType ()

عمومی int getSerializedSize ()

عمومی نهایی com.google.protobuf.UnknownFieldSet getUnknownFields ()

بولی عمومی getUnknownRank ()

 If true, the number of dimensions in the shape is unknown.
 If true, "dim.size()" must be 0.
 
bool unknown_rank = 3;

هش کد عمومی ()

بولین نهایی عمومی isInitialized ()

عمومی استاتیک TensorShapeProto.Builder newBuilder (نمونه اولیه TensorShapeProto )

عمومی استاتیک TensorShapeProto.Builder newBuilder ()

عمومی TensorShapeProto.Builder newBuilderForType ()

عمومی استاتیک TensorShapeProto parseDelimitedFrom (ورودی جریان ورودی)

پرتاب می کند
IOException

عمومی استاتیک TensorShapeProto parseDelimitedFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند
IOException

عمومی استاتیک TensorShapeProto parseFrom (داده ByteBuffer)

پرتاب می کند
InvalidProtocolBufferException

عمومی استاتیک TensorShapeProto parseFrom (ورودی com.google.protobuf.CodedInputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند
IOException

عمومی استاتیک TensorShapeProto parseFrom (داده های ByteBuffer، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند
InvalidProtocolBufferException

عمومی استاتیک TensorShapeProto parseFrom (ورودی com.google.protobuf.CodedInputStream)

پرتاب می کند
IOException

عمومی استاتیک TensorShapeProto parseFrom (بایت[] داده، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند
InvalidProtocolBufferException

عمومی استاتیک TensorShapeProto parseFrom (داده های com.google.protobuf.ByteString)

پرتاب می کند
InvalidProtocolBufferException

عمومی استاتیک TensorShapeProto parseFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند
IOException

عمومی استاتیک TensorShapeProto parseFrom (داده های com.google.protobuf.ByteString، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند
InvalidProtocolBufferException

استاتیک عمومی تجزیه کننده ()

عمومی TensorShapeProto.Builder toBuilder ()

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

پرتاب می کند
IOException