candle-examples 0.7.2

Minimalist ML framework.
Documentation 
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[build-dependencies.anyhow]
features = ["backtrace"]
version = "1"

[build-dependencies.bindgen_cuda]
optional = true
version = "0.1.1"

[dependencies.accelerate-src]
optional = true
version = "0.3.2"

[dependencies.candle]
package = "candle-core"
version = "0.7.2"

[dependencies.candle-datasets]
optional = true
version = "0.7.2"

[dependencies.candle-flash-attn]
optional = true
version = "0.7.2"

[dependencies.candle-nn]
version = "0.7.2"

[dependencies.candle-onnx]
optional = true
version = "0.7.2"

[dependencies.candle-transformers]
version = "0.7.2"

[dependencies.cpal]
optional = true
version = "0.15.2"

[dependencies.csv]
version = "1.3.0"

[dependencies.cudarc]
default-features = false
features = ["std", "cublas", "cublaslt", "curand", "driver", "nvrtc", "f16", "cuda-version-from-build-system", "dynamic-linking"]
optional = true
version = "0.12.1"

[dependencies.enterpolation]
optional = true
version = "0.2.1"

[dependencies.half]
features = ["num-traits", "use-intrinsics", "rand_distr"]
optional = true
version = "2.3.1"

[dependencies.hf-hub]
features = ["tokio"]
version = "0.3.0"

[dependencies.image]
default-features = false
features = ["jpeg", "png"]
version = "0.25.2"

[dependencies.intel-mkl-src]
features = ["mkl-static-lp64-iomp"]
optional = true
version = "0.8.1"

[dependencies.num-traits]
version = "0.2.15"

[dependencies.palette]
optional = true
version = "0.7.6"

[dependencies.pyo3]
features = ["auto-initialize"]
optional = true
version = "0.21.0"

[dependencies.rayon]
version = "1.7.0"

[dependencies.rubato]
optional = true
version = "0.15.0"

[dependencies.safetensors]
version = "0.4.1"

[dependencies.serde]
features = ["derive"]
version = "1.0.171"

[dependencies.serde_json]
version = "1.0.99"

[dependencies.symphonia]
features = ["all"]
optional = true
version = "0.5.3"

[dependencies.tokenizers]
default-features = false
features = ["onig"]
version = "0.19.1"

[dev-dependencies.ab_glyph]
version = "0.2.23"

[dev-dependencies.anyhow]
features = ["backtrace"]
version = "1"

[dev-dependencies.byteorder]
version = "1.4.3"

[dev-dependencies.clap]
features = ["derive"]
version = "4.2.4"

[dev-dependencies.imageproc]
default-features = false
version = "0.24.0"

[dev-dependencies.memmap2]
features = ["stable_deref_trait"]
version = "0.9.3"

[dev-dependencies.rand]
version = "0.8.5"

[dev-dependencies.tokio]
version = "1.29.1"

[dev-dependencies.tracing]
version = "0.1.37"

[dev-dependencies.tracing-chrome]
version = "0.7.1"

[dev-dependencies.tracing-subscriber]
version = "0.3.7"

[[example]]
name = "onnx_basics"
required-features = ["onnx"]

[features]
accelerate = ["dep:accelerate-src", "candle/accelerate", "candle-nn/accelerate", "candle-transformers/accelerate"]
cuda = ["candle/cuda", "candle-nn/cuda", "candle-transformers/cuda", "dep:bindgen_cuda"]
cudnn = ["candle/cudnn"]
default = []
depth_anything_v2 = ["palette", "enterpolation"]
encodec = ["cpal", "symphonia", "rubato"]
flash-attn = ["cuda", "candle-transformers/flash-attn", "dep:candle-flash-attn"]
metal = ["candle/metal", "candle-nn/metal"]
microphone = ["cpal"]
mimi = ["cpal", "symphonia", "rubato"]
mkl = ["dep:intel-mkl-src", "candle/mkl", "candle-nn/mkl", "candle-transformers/mkl"]
nccl = ["cuda", "cudarc/nccl", "dep:half"]
onnx = ["candle-onnx"]

[package]
categories = ["science"]
description = "Minimalist ML framework."
edition = "2021"
keywords = ["blas", "tensor", "machine-learning"]
license = "MIT OR Apache-2.0"
name = "candle-examples"
readme = "README.md"
repository = "https://github.com/huggingface/candle"
version = "0.7.2"