IEEE-754 double-precision 64-bit float tensor type.
Public Methods
abstract static TFloat64 |
scalarOf(double value)
Allocates a new tensor for storing a single double value.
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abstract static TFloat64 | |
abstract static TFloat64 |
tensorOf(Shape shape, DoubleDataBuffer data)
Allocates a new tensor of the given shape, initialized with the provided data.
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abstract static TFloat64 | |
abstract static TFloat64 | |
abstract static TFloat64 |
vectorOf(double... values)
Allocates a new tensor for storing a vector of doubles.
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Inherited Methods
Public Methods
public static abstract TFloat64 scalarOf (double value)
Allocates a new tensor for storing a single double value.
Parameters
value | double to store in the new tensor |
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Returns
- the new tensor
public static abstract TFloat64 tensorOf (Shape shape, Consumer<TFloat64> dataInit)
Allocates a new tensor of the given shape and initialize its data.
Parameters
shape | shape of the tensor to allocate |
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dataInit | tensor data initializer |
Returns
- the new tensor
Throws
TensorFlowException | if the tensor cannot be allocated or initialized |
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public static abstract TFloat64 tensorOf (Shape shape, DoubleDataBuffer data)
Allocates a new tensor of the given shape, initialized with the provided data.
Parameters
shape | shape of the tensor to allocate |
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data | buffer of doubles to initialize the tensor with |
Returns
- the new tensor
public static abstract TFloat64 tensorOf (Shape shape)
Allocates a new tensor of the given shape.
Parameters
shape | shape of the tensor to allocate |
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Returns
- the new tensor
public static abstract TFloat64 tensorOf (NdArray<Double> src)
Allocates a new tensor which is a copy of a given array of doubles.
The tensor will have the same shape as the source array and its data will be copied.
Parameters
src | the source array giving the shape and data to the new tensor |
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Returns
- the new tensor
public static abstract TFloat64 vectorOf (double... values)
Allocates a new tensor for storing a vector of doubles.
Parameters
values | doubles to store in the new tensor |
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Returns
- the new tensor