
DOCS . JAX . DEV {
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Title:
The checkify transformation — JAX documentation
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Keywords {🔍}
error, jax, checkify, err, valueerror, function, checks, def, return, index, errors, check, errthrow, runtime, values, add, nonnegative, transformations, indexing, nan, pjit, mapped, checkified, transformation, api, checkifycheckifyf, failed, outofbounds, positive, code, generated, jit, functions, assertions, gradient, guides, computation, debugging, checkedf, checkedfjnpones, primitive, functionally, pure, pmap, result, jaxexperimentalcheckify, grad, strengths, limitations, data,
Topics {✒️}
async run-ahead add run-time values checkify-transformed function returns add runtime checks run-time checks compilation exporting runtime error checking values representing errors checkify transformation functionalizes simple neural network make local modifications automatically add checks safely add jax add automatic checks runtime checks xla hlo doesn backward pass operations composing multiple transformations track error messages remains functionally pure ordinary python assertions pmap checkified functions ordinary assertions don checkify mapped functions checkify strengths limitations checkify transformation work inside jit jax api error values functionalizing checks checks automatically time lowering common errors gradient computation custom_vjp def assert_gradient_negative automatic checks errors=errors check api numeric computations manually throwing jax authors checkified functions rewriting checks checkify strengths limitations adding manually instrument catch errors jax package functionally pure jit_of_checkify = jax
Questions {❓}
- JAX transformation semantics rely on functional purity, especially when composing multiple transformations, so how can we provide an error mechanism without disrupting all that?
- Why does JAX need checkify?
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