Rogan Morrow

So I have two (very large) files being uploaded with field names "foo" and "bar". I want to, while the upload is in progress, analyse the contents of the files...

I also would like this functionality, because I want to be able to efficiently sample from the marginal of an independent distribution, but it seems the only way to do...

In your example z has a dependency on x, so of course the assignment operation will be run. His point is that nothing has a dependency on the assign ops...

You can have a look at the implementation of weight normalization here: https://github.com/CompVis/vunet/blob/master/nn.py#L36 Since x has a dependency on g and b assign ops during initialization, they are forced to...

I usually just wrap the op in a `tf.Print`. So you can try: ``` g = tf.assign(...) g = tf.Print(g, [g], message='test ') ``` If nothing gets printed then your...

Would be great if it was supported for Firehose, to save me re-implementing all the logic myself.

Hi, thanks for your reply. It is in section 4, under subtitle "Training details": > We only update G for the L1 loss L1latent(G, E) on the latent code (Equation...

Personally I've found it easier to just interface directly with the raw LVGL functions than to try to use this Rust wrapper

I think a lot of the issues I've faced are already captured in other issues, e.g. some of the issues I've encountered are https://github.com/lvgl/lv_binding_rust/issues/166 https://github.com/lvgl/lv_binding_rust/issues/168 https://github.com/lvgl/lv_binding_rust/issues/163 Additionally a large number...

I believe I found the issue; the compiler for my target is `arm-none-eabi-gcc` which enables `-fshort-enums` by default, so I need to pass that flag to bindgen