examples/custom_ops/custom_ops_1.cpp

/*
 * Copyright (c) Meta Platforms, Inc. and affiliates.
 * All rights reserved.
 *
 * This source code is licensed under the BSD-style license found in the
 * LICENSE file in the root directory of this source tree.
 */

#include <executorch/runtime/kernel/kernel_includes.h>

namespace custom {
namespace native {

using exec_aten::ScalarType;
using exec_aten::Tensor;
using torch::executor::RuntimeContext;

namespace {
void check_preconditions(const Tensor& in, Tensor& out) {
  ET_CHECK_MSG(
      out.scalar_type() == ScalarType::Float,
      "Expected out tensor to have dtype Float, but got %hhd instead",
      out.scalar_type());
  ET_CHECK_MSG(
      in.scalar_type() == ScalarType::Float,
      "Expected in tensor to have dtype Float, but got %hhd instead",
      in.scalar_type());
  ET_CHECK_MSG(
      out.dim() == in.dim(),
      "Number of dims of out tensor is not compatible with inputs");
  ET_CHECK_MSG(
      out.numel() == in.numel(),
      "Number of elements of out tensor %zd is not compatible with inputs %zd",
      ssize_t(out.numel()),
      ssize_t(in.numel()));
}
} // namespace
// mul3.out(Tensor input, *, Tensor(a!) output) -> Tensor(a!)
Tensor& mul3_out_impl(RuntimeContext& ctx, const Tensor& in, Tensor& out) {
  (void)ctx;

  check_preconditions(in, out);
  float* out_data = out.mutable_data_ptr<float>();
  const float* in_data = in.const_data_ptr<float>();
  for (size_t out_idx = 0; out_idx < out.numel(); ++out_idx) {
    out_data[out_idx] = in_data[out_idx] * 3;
  }
  return out;
}
} // namespace native
} // namespace custom