numr 0.5.1

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

use crate::error::Result;
use crate::ops::CompareOps;
use crate::runtime::wgpu::ops::native::native_compare_op;
use crate::runtime::wgpu::{WgpuClient, WgpuRuntime};
use crate::tensor::Tensor;

impl CompareOps<WgpuRuntime> for WgpuClient {
    fn eq(&self, a: &Tensor<WgpuRuntime>, b: &Tensor<WgpuRuntime>) -> Result<Tensor<WgpuRuntime>> {
        native_compare_op(self, "eq", a, b)
    }

    fn ne(&self, a: &Tensor<WgpuRuntime>, b: &Tensor<WgpuRuntime>) -> Result<Tensor<WgpuRuntime>> {
        native_compare_op(self, "ne", a, b)
    }

    fn lt(&self, a: &Tensor<WgpuRuntime>, b: &Tensor<WgpuRuntime>) -> Result<Tensor<WgpuRuntime>> {
        native_compare_op(self, "lt", a, b)
    }

    fn le(&self, a: &Tensor<WgpuRuntime>, b: &Tensor<WgpuRuntime>) -> Result<Tensor<WgpuRuntime>> {
        native_compare_op(self, "le", a, b)
    }

    fn gt(&self, a: &Tensor<WgpuRuntime>, b: &Tensor<WgpuRuntime>) -> Result<Tensor<WgpuRuntime>> {
        native_compare_op(self, "gt", a, b)
    }

    fn ge(&self, a: &Tensor<WgpuRuntime>, b: &Tensor<WgpuRuntime>) -> Result<Tensor<WgpuRuntime>> {
        native_compare_op(self, "ge", a, b)
    }
}