numr 0.5.1

High-performance numerical computing with multi-backend GPU acceleration (CPU/CUDA/WebGPU)
Documentation 
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//! WebGPU implementation of scalar operations.

use crate::error::Result;
use crate::ops::ScalarOps;
use crate::runtime::wgpu::ops::native::{native_fused_mul_add_scalar, native_scalar_op};
use crate::runtime::wgpu::{WgpuClient, WgpuRuntime};
use crate::tensor::Tensor;

impl ScalarOps<WgpuRuntime> for WgpuClient {
    fn add_scalar(&self, a: &Tensor<WgpuRuntime>, scalar: f64) -> Result<Tensor<WgpuRuntime>> {
        native_scalar_op(self, "add_scalar", a, scalar)
    }

    fn sub_scalar(&self, a: &Tensor<WgpuRuntime>, scalar: f64) -> Result<Tensor<WgpuRuntime>> {
        native_scalar_op(self, "sub_scalar", a, scalar)
    }

    fn mul_scalar(&self, a: &Tensor<WgpuRuntime>, scalar: f64) -> Result<Tensor<WgpuRuntime>> {
        native_scalar_op(self, "mul_scalar", a, scalar)
    }

    fn div_scalar(&self, a: &Tensor<WgpuRuntime>, scalar: f64) -> Result<Tensor<WgpuRuntime>> {
        native_scalar_op(self, "div_scalar", a, scalar)
    }

    fn pow_scalar(&self, a: &Tensor<WgpuRuntime>, scalar: f64) -> Result<Tensor<WgpuRuntime>> {
        native_scalar_op(self, "pow_scalar", a, scalar)
    }

    fn rsub_scalar(&self, a: &Tensor<WgpuRuntime>, scalar: f64) -> Result<Tensor<WgpuRuntime>> {
        native_scalar_op(self, "rsub_scalar", a, scalar)
    }

    fn fused_mul_add_scalar(
        &self,
        a: &Tensor<WgpuRuntime>,
        scale: f64,
        bias: f64,
    ) -> Result<Tensor<WgpuRuntime>> {
        native_fused_mul_add_scalar(self, a, scale, bias)
    }
}