In addition to expressing pure maps, you can use fast collective communication operations between devices: from functools import partial from jax import lax @partial(pmap, axis_name='i') def normalize(x): return x / lax.psum(x, 'i') print(normalize(jnp.arange(4.))) # prints [0. 0.16...
There are 2 different documents for two different Bitwarden services. The services are named similarly and people may get confused. Proposed Changes Add notes to each document explaining the difference. Testing Done Ranmake docs.serveand verified both pages look good. Checklist...
In newer 1.2 PinePhone board revisions LIS3MDL magnetometer was replaced by AF8133J. They use the same PB1 pin in different modes. LIS3MDL uses it as an gpio input to handle interrupt. AF8133J uses it as an gpio output as a reset signal...
Prototype for Google's reCAPTCHA test. reCAPTCHA is a security challenge used by websites to differentiate between humans and automated bots. It helps prevent malicious activity such as spam submissions, fake account creations, and automated attacks. -
It looks like the msgpack spec does not differentiate between a raw binary data buffer and text strings. This causes some problems in all high-level language wrappers, because most high-level languages have different data types for text strings and binary buffers. For instance, the objective C ...
To perform tracing, JAX wraps primitive operations, like basic numerical kernels, so that when they’re called they add themselves to a list of operations performed along with their inputs and outputs. To keep track of how data flows between these primitives, values being tracked are wrapped ...
In addition to expressing pure maps, you can use fast collective communication operations between devices: from functools import partial from jax import lax @partial(pmap, axis_name='i') def normalize(x): return x / lax.psum(x, 'i') print(normalize(jnp.arange(4.))) # prints [0. 0.16...
In addition to expressing pure maps, you can use fastcollective communication operationsbetween devices: fromfunctoolsimportpartialfromjaximportlax@partial(pmap,axis_name='i')defnormalize(x):returnx/lax.psum(x,'i')print(normalize(np.arange(4.)))# prints [0. 0.16666667 0.33333334 0.5 ] ...
To keep track of how data flows between these primitives, values being tracked are wrapped in instances of the Tracer class. When a Python function is provided to grad or jit, it’s wrapped for tracing and returned. When the wrapped function is called, we abstract the concrete arguments ...
JAX specializes Python functions by tracing. Tracing a function means monitoring all the basic operations that are applied to its input to produce its output, and recording these operations and the data-flow between them in a directed acyclic graph (DAG). To perform tracing, JAX wraps primitive...