الطبقة النهائية العامة TensorShapeProto
Dimensions of a tensor.نوع Protobuf
tensorflow.TensorShapeProto فئات متداخلة
| فصل | TensorShapeProto.Builder | Dimensions of a tensor. | |
| فصل | TensorShapeProto.Dim | One dimension of the tensor. | |
| واجهه المستخدم | TensorShapeProto.DimOrBuilder | ||
الثوابت
| كثافة العمليات | DIM_FIELD_NUMBER | |
| كثافة العمليات | UNKNOWN_RANK_FIELD_NUMBER |
الأساليب العامة
| منطقية | يساوي (كائن كائن) |
| ثابت TensorShapeProto | |
| TensorShapeProto | |
| النهائي الثابت com.google.protobuf.Descriptors.Descriptor | |
| TensorShapeProto.Dim | getDim (فهرس كثافة العمليات)
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor. |
| كثافة العمليات | الحصول علىDimCount ()
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor. |
| القائمة< TensorShapeProto.Dim > | الحصول علىDimList ()
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor. |
| TensorShapeProto.DimOrBuilder | getDimOrBuilder (فهرس كثافة العمليات)
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor. |
| القائمة<؟ يمتد TensorShapeProto.DimOrBuilder > | الحصول علىDimOrBuilderList ()
Dimensions of the tensor, such as {"input", 30}, {"output", 40}
for a 30 x 40 2D tensor. |
| كثافة العمليات | |
| النهائي com.google.protobuf.UnknownFieldSet | |
| منطقية | الحصول على UnknownRank () If true, the number of dimensions in the shape is unknown. |
| كثافة العمليات | رمز التجزئة () |
| منطقية نهائية | تمت التهيئة () |
| ثابت TensorShapeProto.Builder | newBuilder (النموذج الأولي لـ TensorShapeProto ) |
| ثابت TensorShapeProto.Builder | منشئ جديد () |
| TensorShapeProto.Builder | |
| ثابت TensorShapeProto | parseDelimitedFrom (إدخال InputStream) |
| ثابت TensorShapeProto | parseDelimitedFrom (إدخال InputStream، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
| ثابت TensorShapeProto | parseFrom (بيانات ByteBuffer) |
| ثابت TensorShapeProto | parseFrom (com.google.protobuf.CodedInputStream input، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
| ثابت TensorShapeProto | parseFrom (بيانات ByteBuffer، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
| ثابت TensorShapeProto | parseFrom (com.google.protobuf.CodedInputStream الإدخال) |
| ثابت TensorShapeProto | parseFrom (بيانات البايت[]، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
| ثابت TensorShapeProto | parseFrom (بيانات com.google.protobuf.ByteString) |
| ثابت TensorShapeProto | parseFrom (إدخال InputStream، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
| ثابت TensorShapeProto | parseFrom (com.google.protobuf.ByteString data، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
| ثابتة | محلل () |
| TensorShapeProto.Builder | إلى البناء () |
| فارغ | writeTo (com.google.protobuf.CodedOutputStream الإخراج) |
الطرق الموروثة
الثوابت
العدد النهائي الثابت العام DIM_FIELD_NUMBER
القيمة الثابتة: 2
العدد النهائي الثابت العام UNKNOWN_RANK_FIELD_NUMBER
القيمة الثابتة: 3
الأساليب العامة
القيمة المنطقية العامة تساوي (Object obj)
النهائي العام الثابت com.google.protobuf.Descriptors.Descriptor getDescriptor ()
TensorShapeProto.Dim getDim العام (مؤشر int)
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; int public 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; القائمة العامة< 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; TensorShapeProto.DimOrBuilder العام getDimOrBuilder (مؤشر كثافة العمليات)
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; القائمة العامة <؟ يمتد 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; عام
int public getSerializedSize ()
النهائي العام com.google.protobuf.UnknownFieldSet getUnknownFields ()
getUnknownRank () المنطقية العامة
If true, the number of dimensions in the shape is unknown. If true, "dim.size()" must be 0.
bool unknown_rank = 3; كود التجزئة الدولي العام ()
تمت تهيئة القيمة المنطقية النهائية العامة ()
TensorShapeProto العام الثابت parseDelimitedFrom (إدخال InputStream، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
رميات
| IOEException |
|---|
TensorShapeProto parseFrom الثابت العام (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
رميات
| IOEException |
|---|
TensorShapeProto parseFrom الثابت العام (بيانات ByteBuffer، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
رميات
| InvalidProtocolBufferException |
|---|
TensorShapeProto parseFrom الثابت العام (com.google.protobuf.CodedInputStream input)
رميات
| IOEException |
|---|
TensorShapeProto parseFrom الثابت العام (بيانات البايت []، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
رميات
| InvalidProtocolBufferException |
|---|
TensorShapeProto parseFrom الثابت العام (بيانات com.google.protobuf.ByteString)
رميات
| InvalidProtocolBufferException |
|---|
TensorShapeProto parseFrom الثابت العام (إدخال InputStream، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
رميات
| IOEException |
|---|
TensorShapeProto parseFrom الثابت العام (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
رميات
| InvalidProtocolBufferException |
|---|
ساكنة عامة
الكتابة إلى الفراغ العام (إخراج com.google.protobuf.CodedOutputStream)
رميات
| IOEException |
|---|