Comments (3)
@mganahl These are both your tests. Can you please find a way to reduce the compute required to run them? It also seems like you are only doing end to end tests. It might be a good idea to just do unit tests (testing only 1 part at a time) as they should be much faster to run.
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I'll have a look. None of those tests is end to end though, I think.
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Turns out it wasn't @mganahl fault at all. TF 1.14 sets autograph=True
, which has nasty sides effects on our code. We'll be raising an issue with the autograph team to see what went wrong.
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Related Issues (20)
- Flaky Test when seed not used HOT 5
- Flaky test (always fails) when seeds are removed HOT 1
- Test `test_gmres_on_larger_random_problem` fails without seeds
- symmetric backend very slow for PEPS tensors HOT 4
- Home Network
- lack sqrt operation in tensornetwork/matrixproductstates/infinite_mps.py
- TensorNetwork backend for QuTiP. HOT 2
- Bug for numpy backend ``sum`` method HOT 3
- SVD on jax backend and thus ``split_node`` cannot be jitted when ``max_truncation_err`` is set
- Bug of setting `center_position` in `apply_two_site_gate` when there's no truncation
- Quantum hardware system integration with TensorNetwork
- Missing code for TensorNetwork Machine Learning HOT 1
- `backend.item` in MPS calculation is incompatible with autograd in jax HOT 2
- The lack of tensor-train RNNs for latest tf/keras HOT 1
- Parallelism Contractors HOT 1
- Question: Vector to FiniteMPS?
- Is there a simple way to multiply a scalar to the tensor values of a node that is part of a network of tensors? HOT 2
- Maintenance of this repository HOT 3
- Tensor
- Pf
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