Related Issues (20)
- bug: ModuleNotFoundError: No module named 'bentoml.frameworks'
- bug: Cannot specify Numpy DType and Shape with Pydantic as deletion contains a bug. HOT 1
- bug: Cannot install Development environment using pdm HOT 2
- feature: support bentoml.depends.from_url("http://already.deployed-bento.com:3000")
- feature: Make Adaptative Batching algorithm customizable HOT 2
- bug: memory leak when I am using bentoml>=1.2 HOT 28
- bug: Cannot get logging to work with monitoring resource
- bug: Excessive time spent parsing pydantic version
- bug: timeout configuration not work HOT 1
- feature: serialization/deserialization with `ormsgpack`
- bug: a lot of missing testing for the `_bento_sdk` package
- bug: Generic exceptions from HTTP client
- feature: To be able to define custom metrics endpoint HOT 5
- bug: Get duplicate log from bentoml CLI when override with structlog HOT 1
- bug: torch tensor converted to numpy array during serialization & non-writable warning HOT 6
- bug: Adaptative batching with max_batch_size=1 crashes the API
- Cannot define custom duration histogram buckets via `@bentoml.service(metrics=...)` HOT 1
- bug: Async Return Latency Issues with BentoML Image IO API
- bug: transformers vs 1.3.0 "TypeError: __init__() got an unexpected keyword argument 'task'"
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