Returns a tensor filled with random numbers from a uniform distribution on the interval [0, 1).

tch_rand(sizes, dtype = NULL, layout = NULL, device = NULL,
  requires_grad = FALSE)

Arguments

sizes

a sequence of integers defining the shape of the output tensor.

dtype

the desired data type of returned tensor. Default: if NULL, infers data type from x.

device

the desired device of returned tensor. Default: if NULL, uses the current device for the default tensor type (see tch_set_default_tensor_type()). device will be the CPU for CPU tensor types and the current CUDA device for CUDA tensor types.

requires_grad

If autograd should record operations on the returned tensor. Default: FALSE.

the

desired layout of returned Tensor. Default: 'strided'

Details

The shape of the tensor is defined by the variable argument sizes.

Examples

tch_rand(c(2, 2))
#> tensor #> 0.4566 0.9066 #> 0.6002 0.6302 #> [ Variable[CPUFloatType]{2,2} ]
tch_rand(c(2, 2), dtype = "double")
#> tensor #> 0.0263 0.4783 #> 0.3129 0.3477 #> [ Variable[CPUDoubleType]{2,2} ]