TorchOpt v0.5.0

[0.5.0] - 2022-09-05

Added

• Implement AdamW optimizer with masking by @Benjamin-eecs and @XuehaiPan in #44.
• Add half float support for accelerated OPs by @XuehaiPan in #67.
• Add MAML example with TorchRL integration by @vmoens and @Benjamin-eecs in #12.
• Add optional argument params to update function in gradient transformations by @XuehaiPan in #65.
• Add option weight_decay option to optimizers by @XuehaiPan in #65.
• Add option maximize option to optimizers by @XuehaiPan in #64.
• Refactor tests using pytest.mark.parametrize and enabling parallel testing by @XuehaiPan and @Benjamin-eecs in #55.
• Add maml-omniglot few-shot classification example using functorch.vmap by @Benjamin-eecs in #39.
• Add parallel training on one GPU using functorch.vmap example by @Benjamin-eecs in #32.
• Add question/help/support issue template by @Benjamin-eecs in #43.

Changed

• Align argument names with PyTorch by @XuehaiPan in #65.
• Replace JAX PyTrees with OpTree by @XuehaiPan in #62.
• Update image link in README to support PyPI rendering by @Benjamin-eecs in #56.

Fixed

• Fix RMSProp optimizer by @XuehaiPan in #55.
• Fix momentum tracing by @XuehaiPan in #58.
• Fix CUDA build for accelerated OP by @XuehaiPan in #53.
• Fix gamma error in MAML-RL implementation by @Benjamin-eecs #47.