1.系统环境：
2.MegEngine版本：1.6.0rc1
3.python版本：Python 3.8.10
The program stuck at net.load when I was trying to use the MegFlow. I wait for more than 10min and there is no sign of finishing it.
Love the book! Ran into this display issue when viewing it on Chrome's PDF viewer:
A time series dataset contains a sequence of events happening across time. Some examples are climate, stocks, and forecasting. This issue is to add any time series dataset to the DJL basicdatasets.
Issue to track tutorial requests:
We would like to define a new operation called IsingXY, as defined in the PennyLane-Braket plugin.
Adding the operation
pennylane/ops/qubit/parametric_ops.py.
I recently submitted a PR and got a really nice and friendly welcome from this guy: https://github.com/apps/welcome
We should add similar bots to easen the workflow by triaging issues, PRs, and generally greet people nicely :)
I think it would be very useful to have learning rate schedulers
lr_cyclic() (https://arxiv.org/abs/1506.01186, Python source at https://pytorch.org/docs/stable/_modules/torch/optim/lr_scheduler.html#CyclicLR), andlr_cosine_annealing_warm_restarts() (https://arxiv.org/abs/1608.03983, Python source at https://pytorch.org/docs/stable/_modules/torch/optim/lr_scheduler.html#CosineAnnealin
The init module has been deprecated, and the recommend approach for generating initial weights is to use the Template.shape method:
>>> from pennylane.templates import StronglyEntanglingLayers
>>> qml.init.strong_ent_layers_normal(n_layers=3, n_wires=2) # deprecated
>>> np.random.random(StronglyEntanglingLayers.shape(n_layers=3, n_wires=2)) # new approachWe should upd
Okay, so this might not exactly be a "good first issue" - it is a little more advanced, but is still very much accessible to newcomers.
Similar to the mygrad.nnet.max_pool function, I would like there to be a mean-pooling layer. That is, a convolution-style windows is strided over the input, an
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Followup to pytorch/pytorch#74955 (comment).
It turns out that that cmake version was just bad and we can now unpin cmake once again.
cc @seemethere @malfet @pytorch/pytorch-dev-infra