blob: 4fadd2aff58dd4dc857dc5e8731d47a94c81761e [file] [log] [blame]
/*
* 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 <cmath>
#include <executorch/kernels/portable/cpu/math_constants.h>
#include <executorch/kernels/portable/cpu/util/activation_ops_util.h>
#include <executorch/kernels/portable/cpu/util/functional_util.h>
#include <executorch/runtime/kernel/kernel_includes.h>
namespace torch {
namespace executor {
namespace native {
using Tensor = exec_aten::Tensor;
using ScalarType = exec_aten::ScalarType;
using string_view = exec_aten::string_view;
Tensor& gelu_out(
RuntimeContext& ctx,
const Tensor& in,
string_view approximate,
Tensor& out) {
(void)ctx;
ET_KERNEL_CHECK(
ctx, check_gelu_args(in, approximate, out), InvalidArgument, out);
ET_KERNEL_CHECK(
ctx, resize_tensor(out, in.sizes()) == Error::Ok, InvalidArgument, out);
ET_KERNEL_CHECK(
ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
ET_SWITCH_FLOAT_TYPES(in.scalar_type(), ctx, "gelu.out", CTYPE, [&]() {
if (approximate == "tanh") {
apply_unary_map_fn(
[](const CTYPE x) {
if (x == -std::numeric_limits<CTYPE>::infinity()) {
return static_cast<CTYPE>(0.0);
} else if (x == std::numeric_limits<CTYPE>::infinity()) {
return std::numeric_limits<CTYPE>::infinity();
}
const CTYPE kBeta = M_SQRT2 * M_2_SQRTPI * 0.5;
const CTYPE kKappa = static_cast<float>(0.044715);
const CTYPE x_cubed = x * x * x;
const CTYPE inner = kBeta * (x + kKappa * x_cubed);
const CTYPE ret = 0.5 * x * (1 + std::tanh(inner));
return ret;
},
in.const_data_ptr<CTYPE>(),
out.mutable_data_ptr<CTYPE>(),
in.numel());
} else if (approximate == "none") {
apply_unary_map_fn(
[](const CTYPE x) {
if (x == -std::numeric_limits<CTYPE>::infinity()) {
return static_cast<CTYPE>(0.0);
} else if (x == std::numeric_limits<CTYPE>::infinity()) {
return std::numeric_limits<CTYPE>::infinity();
}
return static_cast<CTYPE>(0.5 * x * (1 + std::erf(x * M_SQRT1_2)));
},
in.const_data_ptr<CTYPE>(),
out.mutable_data_ptr<CTYPE>(),
in.numel());
} else {
ET_CHECK_MSG(
false,
"Invalid approximation format: %.*s for gelu",
static_cast<int>(approximate.length()),
approximate.data());
}
});
return out;
}
} // namespace native
} // namespace executor
} // namespace torch