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use num::traits::Float;
use tensor::Tensor;
use traits::NumericTrait;
macro_rules! add_impl {
($($f:ident)*) => ($(
pub fn $f<T: NumericTrait + Float>(x: Tensor<T>) -> Tensor<T> {
let mut y = x;
y.canonize_inplace();
{
let n = y.size();
let mut data = y.slice_mut();
for i in 0..n {
data[i] = data[i].$f();
}
}
y
}
)*)
}
add_impl! { ln log10 log2 sin cos tan asin acos atan exp_m1 exp exp2
ln_1p sinh cosh tanh asinh acosh atanh sqrt
floor ceil round trunc fract abs signum }
macro_rules! add_impl_to_bool {
($($f:ident)*) => ($(
pub fn $f<T: NumericTrait + Float>(x: &Tensor<T>) -> Tensor<bool> {
let mut y: Tensor<bool> = Tensor::empty(&x.shape());
{
let mut data = y.slice_mut();
for (i, v) in x.iter().enumerate() {
data[i] = v.$f();
}
}
y
}
)*)
}
add_impl_to_bool! { is_nan is_finite is_infinite is_normal is_sign_positive is_sign_negative }
pub fn log<T: NumericTrait + Float>(x: Tensor<T>, base: T) -> Tensor<T> {
let mut y = x;
y.canonize_inplace();
{
let n = y.size();
let mut data = y.slice_mut();
for i in 0..n {
data[i] = data[i].log(base);
}
}
y
}
pub fn atan2<T: NumericTrait + Float>(y: &Tensor<T>, x: &Tensor<T>) -> Tensor<T> {
assert!(x.shape() == y.shape(), "Shapes must match");
let mut z = Tensor::empty(&x.shape());
{
let mut data = z.slice_mut();
for (i, (v1, v2)) in y.iter().zip(x.iter()).enumerate() {
data[i] = v1.atan2(v2);
}
}
z
}
pub fn powf<T: NumericTrait + Float>(y: &Tensor<T>, x: &Tensor<T>) -> Tensor<T> {
assert!(x.shape() == y.shape(), "Shapes must match");
let mut z = Tensor::empty(&x.shape());
{
let mut data = z.slice_mut();
for (i, (v1, v2)) in y.iter().zip(x.iter()).enumerate() {
data[i] = v1.powf(v2);
}
}
z
}
pub fn powi<T: NumericTrait + Float>(y: &Tensor<T>, x: &Tensor<i32>) -> Tensor<T> {
assert!(x.shape() == y.shape(), "Shapes must match");
let mut z = Tensor::empty(&x.shape());
{
let mut data = z.slice_mut();
for (i, (v1, v2)) in y.iter().zip(x.iter()).enumerate() {
data[i] = v1.powi(v2);
}
}
z
}