license import { KernelConfig , KernelFunc , Log } from '@tensorflow/tfjs-core' ; import { CHECK_NAN_SNIPPET_UNARY , unaryKernelFunc } from '../kernel_utils/kernel_funcs_utils' ; import { logImplCPU } from '../kernel_utils/shared' ; const LOG = CHECK_NAN_SNIPPET_UNARY + `
  return x < 0.0 ? 0./0. : log(x);
` ; const LOG_PACKED = `
  vec4 result = log(x);
  bvec4 isNaN = isnan(x);
  result.r = isNaN.r ? x.r : (x.r < 0.0 ? 0./0. : result.r);
  result.g = isNaN.g ? x.g : (x.g < 0.0 ? 0./0. : result.g);
  result.b = isNaN.b ? x.b : (x.b < 0.0 ? 0./0. : result.b);
  result.a = isNaN.a ? x.a : (x.a < 0.0 ? 0./0. : result.a);
  return result;
` ; export const log = unaryKernelFunc ( { opSnippet : LOG , packedOpSnippet : LOG_PACKED , cpuKernelImpl : logImplCPU } ) ; export const logConfig = { kernelName : Log , backendName : 'webgl' , kernelFunc : log as { } as KernelFunc } ;