Loglinear spaced tensor

Returns a one-dimensional tensor of steps points logarithmically spaced between 10^start and 10^end.

tch_logspace(start, end, steps = 100, dtype = NULL, layout = NULL,
  device = NULL, requires_grad = FALSE)

Arguments

start	the starting value for the set of points.
end	the ending value for the set of points.
steps	number of points to sample between start and end. Default: 100.
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.
fill_value	the number to fill the output tensor with.
the	desired layout of returned Tensor. Default: 'strided'

Details

The output tensor is 1-D of size steps.

Examples

tch_linspace(3, 10, steps = 5)
#> tensor 
#>   3.0000
#>   4.7500
#>   6.5000
#>   8.2500
#>  10.0000
#> [ Variable[CPUFloatType]{5} ]
tch_linspace(-10, 10, steps = 5)
#> tensor 
#> -10
#>  -5
#>   0
#>   5
#>  10
#> [ Variable[CPUFloatType]{5} ]
tch_linspace(start = -10, end = 10, steps = 5)
#> tensor 
#> -10
#>  -5
#>   0
#>   5
#>  10
#> [ Variable[CPUFloatType]{5} ]
tch_linspace(0, 1)
#> tensor 
#>  0.0000
#>  0.0101
#>  0.0202
#>  0.0303
#>  0.0404
#>  0.0505
#>  0.0606
#>  0.0707
#>  0.0808
#>  0.0909
#>  0.1010
#>  0.1111
#>  0.1212
#>  0.1313
#>  0.1414
#>  0.1515
#>  0.1616
#>  0.1717
#>  0.1818
#>  0.1919
#>  0.2020
#>  0.2121
#>  0.2222
#>  0.2323
#>  0.2424
#>  0.2525
#>  0.2626
#>  0.2727
#>  0.2828
#>  0.2929
#>  0.3030
#>  0.3131
#>  0.3232
#>  0.3333
#>  0.3434
#>  0.3535
#>  0.3636
#>  0.3737
#>  0.3838
#>  0.3939
#>  0.4040
#>  0.4141
#>  0.4242
#>  0.4343
#>  0.4444
#>  0.4545
#>  0.4646
#>  0.4747
#>  0.4848
#>  0.4949
#>  0.5051
#>  0.5152
#>  0.5253
#>  0.5354
#>  0.5455
#>  0.5556
#>  0.5657
#>  0.5758
#>  0.5859
#>  0.5960
#>  0.6061
#>  0.6162
#>  0.6263
#>  0.6364
#>  0.6465
#>  0.6566
#>  0.6667
#>  0.6768
#>  0.6869
#>  0.6970
#>  0.7071
#>  0.7172
#>  0.7273
#>  0.7374
#>  0.7475
#>  0.7576
#>  0.7677
#>  0.7778
#>  0.7879
#>  0.7980
#>  0.8081
#>  0.8182
#>  0.8283
#>  0.8384
#>  0.8485
#>  0.8586
#>  0.8687
#>  0.8788
#>  0.8889
#>  0.8990
#>  0.9091
#>  0.9192
#>  0.9293
#>  0.9394
#>  0.9495
#>  0.9596
#>  0.9697
#>  0.9798
#>  0.9899
#>  1.0000
#> [ Variable[CPUFloatType]{100} ]