dfdx 0.13.0

Ergonomic auto differentiation in Rust, with pytorch like apis.
Documentation 
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use super::HuberErrorKernelOp as HuberError;
#[allow(unused_imports)]
use crate::dtypes::*;
use crate::tensor_ops::cuda_kernels::cuda_binary;

#[cfg(feature = "f16")]
unsafe impl cudarc::driver::DeviceRepr for HuberError<f16> {}
#[cfg(feature = "f16")]
unsafe impl cudarc::driver::DeviceRepr for HuberError<AMP<f16>> {}
unsafe impl cudarc::driver::DeviceRepr for HuberError<f32> {}
unsafe impl cudarc::driver::DeviceRepr for HuberError<f64> {}

const PTX: &str = include_str!(concat!(env!("OUT_DIR"), "/huber_error.ptx"));

#[cfg(feature = "f16")]
cuda_binary!(
    HuberError<f16>,
    f16,
    PTX,
    "huber_fwd_f16",
    "huber_bwd_lhs_f16",
    "huber_bwd_rhs_f16"
);
#[cfg(feature = "f16")]
cuda_binary!(
    HuberError<AMP<f16>>,
    AMP<f16>,
    PTX,
    "huber_fwd_f16",
    "huber_bwd_lhs_f16",
    "huber_bwd_rhs_f16"
);
cuda_binary!(
    HuberError<f32>,
    f32,
    PTX,
    "huber_fwd_f32",
    "huber_bwd_lhs_f32",
    "huber_bwd_rhs_f32"
);
cuda_binary!(
    HuberError<f64>,
    f64,
    PTX,
    "huber_fwd_f64",
    "huber_bwd_lhs_f64",
    "huber_bwd_rhs_f64"
);