sgd_step | R Documentation |
Sgd_step
sgd_step(p, lr, ...)
p |
p |
lr |
learning rate |
... |
additional arguments to pass |
None
## Not run:
tst_param = function(val, grad = NULL) {
"Create a tensor with `val` and a gradient of `grad` for testing"
res = tensor(val) %>% float()
if(is.null(grad)) {
grad = tensor(val / 10)
} else {
grad = tensor(grad)
}
res$grad = grad %>% float()
res
}
p = tst_param(1., 0.1)
sgd_step(p, 1.)
## End(Not run)
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