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Jax installation on gpu

Published on
#python #development-environment #jax
36
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jax: How do we solve the error: pmap was requested to map its argument along axis 0, which implies that its rank should be at least 1, but is only 0?

Published on
#python #neural-network #jax #pmap
25
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what are the numbers in the operation names when profiling an application

Published on
#profiling #profiler #jax
21
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DeepXDE error - NotImplementedError: Unsupported backend: torch

Published on
#python #tensorflow #pytorch #tensorflow2.0 #jax
157
Views

Cannot import name 'linear_util' from 'jax'

Published on
#python #machine-learning #deep-learning #importerror #jax
87
Views

Numpyro AR(1) mean switching model sampling incongrouencies

Published on
#python #jax #pyro #numpyro
72
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Slow JAX Optimization with ScipyBoundedMinimize and Optax - Seeking Speedup Strategies

Published on
#python #performance #optimization #jax
40
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Calculating the Jacobian of a JAX Convolution

Published on
#python #math #jax #autodiff
48
Views

Equivalent of `jax.lax.cond` for multiple boolean conditions

Published on
#python #conditional-statements #jit #jax
60
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JAX metal produces jaxlib.xla_extension.XlaRuntimeError error on MacBook M3 for jnp.linalg.qr(A)

Published on
#macos #jax
47
Views

Complex Vector Multiplication Pallas Jax

Published on
#python #jax
91
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Jax traces a static Argument

Published on
#python #jax #triton
96
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Multi-node/host training with the sharding API

Published on
#python #python-3.x #jax
61
Views

"The truth value of an array with more than one element is ambiguous" when trying to train a new JAX+Equinox model a second time

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#python #machine-learning #neural-network #jax
61
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Jax scan with dynamic number of iterations

Published on
#python-3.x #jax
69
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Using a progressbar with a method in Jax

Published on
#python #jax
47
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Speeding Up Newton Step (Jax Neural Network)

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#python #deep-learning #jax #newtons-method
38
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"all placeholder ndarrays should have been allocated" with jax-metal using jaxopt

Published on
#macos #jax
73
Views

How to train a model using gradient descent with multioutput (vector-valued) loss function in JAX?

Published on
#python #machine-learning #loss-function #jax
164
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Using Orbax to checkpoint flax `TrainState` with new `CheckpointManager` API

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#python #jax #flax

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