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exponential_kernel Class — pytorch Architecture

Architecture documentation for the exponential_kernel class in DistributionTemplates.h from the pytorch codebase.

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Source Code

aten/src/ATen/native/cpu/DistributionTemplates.h lines 348–358

template<typename RNG>
void exponential_kernel(TensorIteratorBase& iter, double lambda, RNG generator) {
  TORCH_CHECK(isFloatingType(iter.dtype()), "Exponential distribution is a continuous probability distribution. dtype must be a floating point but you specified ", iter.dtype());
  AT_DISPATCH_FLOATING_TYPES_AND2(at::ScalarType::Half, at::ScalarType::BFloat16, iter.dtype(), "exponential_cpu", [&]() {
    std::lock_guard<std::mutex> lock(generator->mutex_);
    at::exponential_distribution<double> exponential(lambda);
    cpu_serial_kernel(iter, [&exponential, generator]() -> scalar_t {
      return static_cast<scalar_t>(exponential(generator));
    });
  });
}

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