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Comparison of two approaches of exponentiating elements of a matrix

Exponentiating Matrix Elements A Comparison of Two Approaches Matrix exponentiation is a fundamental operation in linear algebra often used in areas like solvin

2 min read 06-10-2024 39
Comparison of two approaches of exponentiating elements of a matrix
Comparison of two approaches of exponentiating elements of a matrix

How to get value of jaxlib.xla_extension.ArrayImpl

Unveiling the Hidden Value Extracting Data from jaxlib xla extension Array Impl The Challenge You re working with JAX and have encountered the jaxlib xla extens

2 min read 05-10-2024 42
How to get value of jaxlib.xla_extension.ArrayImpl
How to get value of jaxlib.xla_extension.ArrayImpl

Jax random matrices running out of memory

Troubleshooting JAX Handling Out of Memory Errors with Random Matrices When working with random matrices in JAX developers may encounter frustrating out of memo

3 min read 30-09-2024 47
Jax random matrices running out of memory
Jax random matrices running out of memory

" Looking for new and fast ODE Solver" .Improving the Run time for my numerical model with 2 ODES solved using solve_ivp

Looking for a New and Fast ODE Solver Improving the Run Time for My Numerical Model with Two ODEs Solved Using solve ivp When dealing with complex numerical mod

3 min read 28-09-2024 45
" Looking for new and fast ODE Solver" .Improving the Run time for my numerical model with 2 ODES solved using solve_ivp
" Looking for new and fast ODE Solver" .Improving the Run time for my numerical model with 2 ODES solved using solve_ivp

jax sum creates a huge intermediate array slowing down GPU performance

Understanding JAXs Sum Function and its Impact on GPU Performance When working with JAX a numerical computing library designed for high performance machine lear

2 min read 28-09-2024 45
jax sum creates a huge intermediate array slowing down GPU performance
jax sum creates a huge intermediate array slowing down GPU performance

Using JAX ndarray.at apply(ufunc) with arguments

Understanding JAXs ndarray at apply ufunc Method JAX is a powerful library for high performance numerical computing that enables the use of hardware accelerator

2 min read 24-09-2024 73
Using JAX ndarray.at apply(ufunc) with arguments
Using JAX ndarray.at apply(ufunc) with arguments

Why is Flax Linear layer not identical to matrix multiplication?

Understanding Flaxs Linear Layer vs Matrix Multiplication In the world of machine learning and deep learning understanding the nuances between different operati

2 min read 21-09-2024 53
Why is Flax Linear layer not identical to matrix multiplication?
Why is Flax Linear layer not identical to matrix multiplication?

Simplest equivalent implementation of numpy.ma.notmasked_edges() for use in JAX

Simplest Equivalent Implementation of numpy ma notmasked edges for Use in JAX The numpy ma notmasked edges function is a useful utility for finding the indices

2 min read 20-09-2024 50
Simplest equivalent implementation of numpy.ma.notmasked_edges() for use in JAX
Simplest equivalent implementation of numpy.ma.notmasked_edges() for use in JAX

Print Output Value of Neural Network in Flax

Printing Output Values of a Neural Network in Flax Flax is a powerful neural network library built on top of JAX which provides flexibility and performance for

3 min read 20-09-2024 46
Print Output Value of Neural Network in Flax
Print Output Value of Neural Network in Flax

Implementing a vectorized function over LinkedLists using Jax’s vmap function

Implementing a Vectorized Function Over Linked Lists Using JAX s vmap Function When working with linked lists in Python developers often encounter challenges in

3 min read 17-09-2024 60
Implementing a vectorized function over LinkedLists using Jax’s vmap function
Implementing a vectorized function over LinkedLists using Jax’s vmap function

jax.lax.cond executing both branches instead of just the True branch

Understanding jax lax cond Ensuring Only the True Branch Executes In the world of machine learning and numerical computing efficiency is key When using JAX a li

2 min read 14-09-2024 60
jax.lax.cond executing both branches instead of just the True branch
jax.lax.cond executing both branches instead of just the True branch

Why does Mypy think adding two Jax arrays returns a numpy array?

Mypys Confusion Why it Thinks Adding Jax Arrays Returns a Num Py Array When working with JAX Just In Time compilation for numerical computing you might encounte

2 min read 04-09-2024 50
Why does Mypy think adding two Jax arrays returns a numpy array?
Why does Mypy think adding two Jax arrays returns a numpy array?

PyMC use JAX to compute sample_posterior_predictive with GPU

Unleashing the Power of GPUs for Posterior Predictive Sampling in Py MC with JAX When it comes to Bayesian modeling Py MC offers a powerful framework for defini

2 min read 02-09-2024 42
PyMC use JAX to compute sample_posterior_predictive with GPU
PyMC use JAX to compute sample_posterior_predictive with GPU

Colab, Jax, and GPU: why does cell execution take 60 seconds when %%timeit says it only takes 70 ms?

Why Does My GPU Computation in Colab Take So Long You re not alone in experiencing this frustration Many developers using Google Colab with the Jax library enco

3 min read 01-09-2024 45
Colab, Jax, and GPU: why does cell execution take 60 seconds when %%timeit says it only takes 70 ms?
Colab, Jax, and GPU: why does cell execution take 60 seconds when %%timeit says it only takes 70 ms?

Jax vmap with lax scan having different sequence length in batch dimension

Mastering JAXs vmap with lax scan for Variable Sequence Lengths This article dives into a common challenge encountered when using JAXs vmap function with lax sc

3 min read 31-08-2024 47
Jax vmap with lax scan having different sequence length in batch dimension
Jax vmap with lax scan having different sequence length in batch dimension

jax bottom up processing non-perfect tree of objects

Navigating Non Perfect Trees in JAX A Bottom Up Processing Approach JAX with its powerful automatic differentiation and vectorization capabilities is a popular

4 min read 31-08-2024 47
jax bottom up processing non-perfect tree of objects
jax bottom up processing non-perfect tree of objects

Basic Hutchinson-Skilling estimator in Jax

Understanding the Hutchinson Skilling Estimator in JAX A Practical Guide The Hutchinson Skilling estimator is a powerful tool for approximating the divergence o

3 min read 30-08-2024 44
Basic Hutchinson-Skilling estimator in Jax
Basic Hutchinson-Skilling estimator in Jax

weird shape when indexing a jax array

Understanding Weird Shapes When Indexing a JAX Array JAX is a powerful library for numerical computing known for its ability to enable high performance machine

3 min read 30-08-2024 42
weird shape when indexing a jax array
weird shape when indexing a jax array

Taking derivatives with multiple inputs in JAX

Mastering Derivatives in JAX A Deep Dive into Multi Input Functions JAX a popular library for high performance numerical computation provides powerful tools for

4 min read 29-08-2024 59
Taking derivatives with multiple inputs in JAX
Taking derivatives with multiple inputs in JAX

Dictionary indexing with Numpy/Jax

Dictionary Indexing with Numpy Jax This article delves into the challenges of using dictionaries for indexing within JAX compiled code particularly when dealing

3 min read 28-08-2024 63
Dictionary indexing with Numpy/Jax
Dictionary indexing with Numpy/Jax

Jax vs numpy for generating Heston paths

Jax vs Num Py for Generating Heston Paths This article will delve into the performance differences between Num Py and JAX when generating paths under the Heston

3 min read 28-08-2024 68
Jax vs numpy for generating Heston paths
Jax vs numpy for generating Heston paths