final class FixedShape extends GeneratedMessageV3 with FixedShapeOrBuilder
Specifies a fixed shape for the feature's values. The immediate implication
is that each feature has a fixed number of values. Moreover, these values
can be parsed in a multi-dimensional tensor using the specified axis sizes.
The FixedShape defines a lexicographical ordering of the data. For instance,
if there is a FixedShape {
dim {size:3} dim {size:2}
}
then tensor[0][0]=field[0]
then tensor[0][1]=field[1]
then tensor[1][0]=field[2]
then tensor[1][1]=field[3]
then tensor[2][0]=field[4]
then tensor[2][1]=field[5]
The FixedShape message is identical with the TensorFlow TensorShape proto
message.
Protobuf type tensorflow.metadata.v0.FixedShape
- Source
- FixedShape.java
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- def getDim(index: Int): Dim
The dimensions that define the shape. The total number of values in each example is the product of sizes of each dimension.
The dimensions that define the shape. The total number of values in each example is the product of sizes of each dimension.
repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;- Definition Classes
- FixedShape → FixedShapeOrBuilder
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- @Override()
- def getDimCount(): Int
The dimensions that define the shape. The total number of values in each example is the product of sizes of each dimension.
The dimensions that define the shape. The total number of values in each example is the product of sizes of each dimension.
repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;- Definition Classes
- FixedShape → FixedShapeOrBuilder
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- def getDimList(): List[Dim]
The dimensions that define the shape. The total number of values in each example is the product of sizes of each dimension.
The dimensions that define the shape. The total number of values in each example is the product of sizes of each dimension.
repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;- Definition Classes
- FixedShape → FixedShapeOrBuilder
- Annotations
- @Override()
- def getDimOrBuilder(index: Int): DimOrBuilder
The dimensions that define the shape. The total number of values in each example is the product of sizes of each dimension.
The dimensions that define the shape. The total number of values in each example is the product of sizes of each dimension.
repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;- Definition Classes
- FixedShape → FixedShapeOrBuilder
- Annotations
- @Override()
- def getDimOrBuilderList(): List[_ <: DimOrBuilder]
The dimensions that define the shape. The total number of values in each example is the product of sizes of each dimension.
The dimensions that define the shape. The total number of values in each example is the product of sizes of each dimension.
repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;- Definition Classes
- FixedShape → FixedShapeOrBuilder
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- def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
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- def getParserForType(): Parser[FixedShape]
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- def getSerializedSize(): Int
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