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Learning function operators with neural networks.
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Feature: Sampler with lists.
#86
Closed
samuelburbulla
closed
7 months ago
samuelburbulla
commented
7 months ago
Feature: Sampler with lists
Description
Which issue does this PR tackle?
Sampler does not take lists in constructor which produces quite some code overhead with many
torch.Tensors
.
How does it solve the problem?
Initializer now also takes lists as input and converts them to Tensors.
How are the changes tested?
Adopted two examples in sampler tests.
Checklist for Contributors
[x] Scope: This PR tackles exactly one problem.
[x] Conventions: The branch follows the
feature/title-slug
convention.
[x] Conventions: The PR title follows the
Bugfix: Title
convention.
[x] Coding style: The code passes all pre-commit hooks.
[x] Documentation: All changes are well-documented.
[x] Tests: New features are tested and all tests pass successfully.
[x] Changelog: Updated CHANGELOG.md for new features or breaking changes.
[x] Review: A suitable reviewer has been assigned.
Checklist for Reviewers:
[x] The PR solves the issue it claims to solve and only this one.
[x] Changes are tested sufficiently and all tests pass.
[x] Documentation is complete and well-written.
[x] Changelog has been updated, if necessary.
Feature: Sampler with lists
Description
Which issue does this PR tackle?
torch.Tensors
.How does it solve the problem?
How are the changes tested?
Checklist for Contributors
feature/title-slug
convention.Bugfix: Title
convention.Checklist for Reviewers: