torsh-core 0.1.0-alpha.1

Core types and traits for ToRSh deep learning framework
Documentation

torsh-core

There is very little structured metadata to build this page from currently. You should check the main library docs, readme, or Cargo.toml in case the author documented the features in them.

This version has 34 feature flags, 5 of them enabled by default.

default

half (default)

This feature flag does not enable additional features.

parallel (default)

std (default)

This feature flag does not enable additional features.

crossbeam (default)

rayon (default)

avx512

This feature flag does not enable additional features.

bench

This feature flag does not enable additional features.

c-api

This feature flag does not enable additional features.

compression

cpu-optimized

cuda

This feature flag does not enable additional features.

cudnn

debug

This feature flag does not enable additional features.

distributed

This feature flag does not enable additional features.

experimental

This feature flag does not enable additional features.

fast-math

This feature flag does not enable additional features.

fp16

This feature flag does not enable additional features.

gpu

This feature flag does not enable additional features.

libc

memory-debug

memory-mapping

This feature flag does not enable additional features.

no_std

This feature flag does not enable additional features.

numa

This feature flag does not enable additional features.

python

This feature flag does not enable additional features.

serde

serde_json

serialize

simd

This feature flag does not enable additional features.

storage_benchmarks

This feature flag does not enable additional features.

system-level

trace

This feature flag does not enable additional features.

unsafe-optimizations

This feature flag does not enable additional features.

wgpu

This feature flag does not enable additional features.

zstd