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SUPPORT / COMPLETE GUIDE v0.2.0 source snapshot

Troubleshooting.

Diagnose installation, interpreter selection, missing optional backends, shape errors, JSON reports, and reproducible bug reports.

READ WITH CONTEXT

Complete upstream referenceAll source sections are preserved below, with added explanations and local guide links.

Some snippets require earlier definitions or optional integrations. Start with the complete CPU quickstart for a runnable baseline.

Back to the quickstart →
READ THE FULL STORY

Source: EveryO 6c05a06. This page preserves the reviewed upstream guide and adds learning context. Version-specific headings and historical wording remain visible; boundary notes explain newer APIs separately.

BEFORE YOU BEGIN

Diagnose one boundary at a time.

Start with the interpreter and environment, then the numerical inputs, then the optional backend. Keep the smallest example that reproduces the problem.

  1. Environment: activate the intended virtual environment and install with that interpreter.
  2. Core numerics: run everyo doctor before diagnosing a larger model.
  3. Inputs: inspect shapes, dtypes, labels, and the loss contract.
  4. Optional components: test the CPU baseline before adding CUDA, TensorFlow, or ONNX.
  5. Report: reduce the failing case and include versions and commands without private data.

Run commands from the repository root with the virtual environment activated. Use python -m pip to install into the same interpreter used by your examples.

Verify the environment

Terminal
python -m pip install -e .
everyo info
everyo doctor

info reports versions and available backends. doctor also performs a core gradient check. Missing TensorFlow or CUDA is expected in a CPU installation. An optional backend being detected does not establish its numerical correctness on your hardware; run the relevant tests before relying on it.

Common problems

Symptom Next step
everyo command not found Activate the environment and repeat the editable installation.
pytest is unavailable Install development dependencies with python -m pip install -e ".[dev]".
CUDA is unavailable Follow CUDA setup; the core CPU path does not require the native extension.
ONNX import fails Install python -m pip install -e ".[onnx]" in the active environment.
Charts cannot open a window Save charts to files; headless execution uses the Agg backend.
Distributed example runs slowly Limit BLAS worker threads as described in the example catalog.

Machine-readable reports

Terminal
everyo info --json
everyo benchmark --sizes 32 --repeats 1 --json --output artifacts/benchmark.json

With --json, benchmark stdout contains only the JSON result. When --output is also supplied, the file confirmation goes to stderr so stdout can be piped to another program. Timing results depend on hardware, load, and backend; retain the environment report alongside measurements.

Report a reproducible problem

Include the EveryO version or commit, operating system, command, traceback, and a small example using generated data. Include relevant everyo info output after reviewing it for information you do not want to share publicly. Use Support for help and Security for private vulnerability reporting.

Original guide reproduced under the project’s MIT license. Upstream source remains authoritative.

View the reviewed source on GitHub ↗

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