
DOCS . JAX . DEV {
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Title:
jax.numpy.fft.ifft — JAX documentation
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Keywords {🔍}
module, axis, transform, jax, dimension, jaxnumpyfftifft, discrete, fourier, array, int, computes, guides, jaxnumpyfftfft, onedimensional, input, default, notes, public, api, package, jaxnumpy, jaxnumpyfftfftn, jaxnumpyffthfft, jaxnumpyfftifftn, jaxnumpyfftirfft, jaxnumpyfftrfft, inverse, specifies, computed, multidimensional, axes, jnpprintoptionsprecision, suppresstrue, printjnpfftifftx, authors, skip, main, content, search, ctrl, started, installation, quickstart, tutorials, sharp, bits, frequently, asked, questions, faq,
Topics {✒️}
discrete fourier transform scipy module jax lax module jax random module jax debug module jax dlpack module jax distributed module jax dtypes module jax ffi module jax flatten_util module jax image module jax nn module jax ops module jax profiler module jax stages module jax test_util module jax tree module jax tree_util module jax typing module jax export module jax extend module jax example_libraries module jax experimental module jax lib module jax sharding module jax jax package jax multidimensional inverse numpy module jax ifft2 jax sharding jax jax authors fft2 jax fftfreq jax fftshift jax ifftshift jax ihfft jax irfft jax irfft2 jax irfftn jax rfft jax rfft2 jax rfftfreq jax rfftn jax addressable_shards jax argmax jax argmin jax argpartition jax argsort jax astype jax choose jax
External Links {🔗}(5)
- Explore the financials of https://github.com/jax-ml/jax
- https://github.com/jax-ml/jax/blob/main/jax/_src/numpy/fft.py#L522-L576's revenue stream
- What's the financial outcome of https://numpy.org/doc/stable/reference/generated/numpy.fft.ifft.html#numpy.fft.ifft?
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