op_convert_to_tensor: Convert an array to a tensor.
In rstudio/keras: R Interface to 'Keras'

op_convert_to_tensor

R Documentation

Convert an array to a tensor.

Description

Convert an array to a tensor.

Usage

op_convert_to_tensor(x, dtype = NULL, sparse = NULL)

Arguments

`x`	An array.
`dtype`	The target type.
`sparse`	Whether to keep sparse tensors. `FALSE` will cause sparse tensors to be densified. The default value of `NULL` means that sparse tensors are kept only if the backend supports them.

Value

A tensor of the specified dtype.

Examples

x <- array(c(1, 2, 3))
y <- op_convert_to_tensor(x)
y

## tf.Tensor([1. 2. 3.], shape=(3), dtype=float64)

op_convert_to_tensor(c(1, 3, 2, 0), "int32")

## tf.Tensor([1 3 2 0], shape=(4), dtype=int32)

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op_log_sigmoid()
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