kshitij12345 commented on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-503403627
@apeforest Note that the pending job has succeeded but for some reason it
isn't updated here.
kshitij12345 commented on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-500517870
Oops, sorry for confusion. I meant the value of a NDArray.
`auto gx = nnvm::NodeEntry{n};`, can I get/print the value of the NDArray
kshitij12345 commented on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-500114215
@apeforest , Thank You for explaining how to get the dump of the graph.
Waiting the PR which simplifies that.
kshitij12345 commented on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499973200
Oh thank you very much for explaining what is happening. I get it now.
It makes sense, as passing argument as `head_grads` doesn't make any
kshitij12345 commented on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499290399
> @kshitij12345 The computation graph for the second backward pass makes
sense to me. As you can see there is only one output from the graph,
kshitij12345 commented on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-499271979
> @kshitij12345 I have some question about the equation `expected_head_grad
= (grad_op(x) * head_grad_grads).asnumpy()` in your test.
>
kshitij12345 commented on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-498950371
> So are you saying that by chain rule, the node is ograd(of log) * d
(log(x)) / dx = ograd * reciprocal?
Following the unary_bwd
kshitij12345 commented on issue #15120: [bug] fix higher grad log
URL: https://github.com/apache/incubator-mxnet/pull/15120#issuecomment-497965942
@apeforest @larroy please review
This is an automated message from the Apache
