# THIS FILE IS AUTOMATICALLY GENERATED BY CARGO # # When uploading crates to the registry Cargo will automatically # "normalize" Cargo.toml files for maximal compatibility # with all versions of Cargo and also rewrite `path` dependencies # to registry (e.g., crates.io) dependencies. # # If you are reading this file be aware that the original Cargo.toml # will likely look very different (and much more reasonable). # See Cargo.toml.orig for the original contents. [package] edition = "2021" name = "gradients" version = "0.3.4" description = "An OpenCL, CUDA and CPU based Deep Learning Library" readme = "README.md" keywords = [ "CUDA", "OpenCL", "machine-learning", "science", "deep-learning", ] categories = [ "mathematics", "science", "algorithms", ] license = "MIT" repository = "https://github.com/elftausend/gradients" resolver = "1" [[example]] name = "mnist" required-features = ["opencl"] [[test]] name = "derive" required-features = ["opencl"] [[test]] name = "network" required-features = ["opencl"] [[test]] name = "onehot" required-features = ["opencl"] [[bench]] name = "lin_forward" harness = false [dependencies.custos] version = "=0.5.0" default-features = false [dependencies.custos-math] version = "=0.5.0" default-features = false [dependencies.gradients-derive] version = "=0.3.4" [dependencies.purpur] version = "0.1.0" [dev-dependencies.criterion] version = "0.3.6" [dev-dependencies.graplot] version = "0.1.20" [features] cuda = [ "custos/cuda", "custos-math/cuda", ] default = [ "cuda", "opencl", ] opencl = [ "custos/opencl", "custos-math/opencl", ] opt-cache = ["custos/opt-cache"] realloc = [ "custos/realloc", "custos-math/realloc", ]