
DOCS . JAX . DEV {
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Title:
Frequently asked questions (FAQ) — JAX documentation
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4 years and 8 months (reg. 2020-11-01).
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Keywords {🔍}
jax, function, jit, return, def, values, device, numpy, data, code, tracer, tracers, result, computation, functions, customclass, buffer, output, class, array, import, case, abstract, change, python, mul, selfx, selfmul, default, arguments, regular, concrete, gradient, object, type, gpu, runtime, buffers, donated, jaxjit, time, compilation, arrays, shape, donation, inside, operations, input, call, method,
Topics {✒️}
higher-order control-flow primitives performing matrix-matrix multiplication nvidia--cu12 pip packages memory-efficient functional update complicated jit-compiled sequences conditional control-flow based common rank-based functions frequently asked questions usual search path jit-compiled helper function cuda library initialization python control flow accelerators takes time floating point arithmetic numeric jax primitives cuda libraries fail cuda runtime libraries helper function external accessing intermediate values mutable python containers environment variable jax_platforms absl flag --jax_platforms jitted functions behave autodiff systems tend reduced pre-allocation resolving dynamic libraries generally expect jax jax sets rpath generally expect numpy concern decorating stand put significant effort internal compilation cache jax import numpy introduce abstract tracers transformations introduce abstract setting xla_python_client_preallocate=false converting tracers back running full applications jax-relative location jit decorated function np import jax remain regular values side-effect due requires concrete values key-word arguments introduce concrete tracers correctly jit-compiling enable 64-bit dtypes executed multiple times supports jit compilation
Questions {❓}
- @jit # <---- How to do this correctly?
- Did that actually speed things up?
- How can I convert a JAX Tracer to a NumPy array?
- How to use jit with methods?
- Is JAX faster than NumPy?
- Is this a fair comparison?
- The fact that the gradient is everywhere zero may be confusing at first glance: after all, the output does change in response to the input, so how can the gradient be zero?
- Why are gradients zero for functions based on sort order?
- Why do some CUDA libraries fail to load/initialize?
- Why is this?
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- How much does https://github.com/jax-ml/jax generate monthly?
- Revenue of https://github.com/openxla/xla/blob/33f815e190982dac4f20d1f35adb98497a382377/xla/hlo/transforms/simplifiers/algebraic_simplifier.cc#L4851
- How much does https://docs.python.org/3/reference/datamodel.html#object.__hash__ rake in every month?
- https://docs.python.org/3/library/stdtypes.html#dict's financial summary
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- Income figures for https://docs.python.org/3/library/stdtypes.html#tuple
- See how much https://github.com/jax-ml/jax/pull/6002 makes per month
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- https://ipython.readthedocs.io/en/stable/interactive/magics.html#magic-time's financial summary
- See how much https://colab.research.google.com/ makes per month
- How much money does https://github.com/jax-ml/jax/issues/1052#issuecomment-514083352 make?
- What's the income generated by https://github.com/tensorflow/probability/blob/master/discussion/where-nan.pdf each month?
- Profit of https://en.wikipedia.org/wiki/Heaviside_step_function
- Find out how much https://en.wikipedia.org/wiki/Sigmoid_function earns monthly
- How profitable is https://man7.org/linux/man-pages/man8/ld.so.8.html?
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