Sgd_step
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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