blob: 60ebd5de5ab06da07104733910a316e430d9d59d [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 <executorch/kernels/portable/cpu/scalar_utils.h>
#include <executorch/kernels/portable/cpu/util/functional_util.h>
#include <executorch/runtime/kernel/kernel_includes.h>
namespace torch {
namespace executor {
namespace native {
using Scalar = exec_aten::Scalar;
using ScalarType = exec_aten::ScalarType;
using Tensor = exec_aten::Tensor;
Tensor& fill_scalar_out(
RuntimeContext& ctx,
const Tensor& a,
const Scalar& b,
Tensor& out) {
(void)ctx;
ScalarType a_type = a.scalar_type();
ScalarType b_type = utils::get_scalar_dtype(b);
ScalarType out_type = out.scalar_type();
ET_KERNEL_CHECK(ctx, a_type == out_type, InvalidArgument, out);
// Resize for dynamic shape
ET_KERNEL_CHECK_MSG(
ctx,
resize_tensor(out, a.sizes()) == Error::Ok,
InvalidArgument,
out,
"Failed to resize output tensor.");
ET_SWITCH_REAL_TYPES_AND(Bool, a_type, ctx, "fill.Scalar_out", CTYPE_A, [&] {
CTYPE_A b_casted;
ET_SWITCH_SCALAR_OBJ_TYPES(b_type, ctx, "fill.Scalar_out", CTYPE_B, [&] {
CTYPE_B b_val;
utils::extract_scalar(b, &b_val);
b_casted = static_cast<CTYPE_A>(b_val);
});
apply_unary_map_fn(
[b_casted](const CTYPE_A val_a) { return b_casted; },
a.const_data_ptr<CTYPE_A>(),
out.mutable_data_ptr<CTYPE_A>(),
out.numel());
});
return out;
}
Tensor& fill_tensor_out(
RuntimeContext& ctx,
const Tensor& a,
const Tensor& b,
Tensor& out) {
(void)ctx;
// Assert `b` must be a scalar tensor.
ET_KERNEL_CHECK(ctx, tensor_is_scalar(b), InvalidArgument, out);
ScalarType a_type = a.scalar_type();
ScalarType b_type = b.scalar_type();
ScalarType out_type = out.scalar_type();
ET_KERNEL_CHECK(ctx, a_type == out_type, InvalidArgument, out);
// Resize for dynamic shape
ET_KERNEL_CHECK_MSG(
ctx,
resize_tensor(out, a.sizes()) == Error::Ok,
InvalidArgument,
out,
"Failed to resize output tensor.");
ET_SWITCH_REAL_TYPES_AND(Bool, a_type, ctx, "fill.Tensor_out", CTYPE_A, [&] {
CTYPE_A b_casted;
ET_SWITCH_REAL_TYPES_AND(
Bool, b_type, ctx, "fill.Tensor_out", CTYPE_B, [&] {
CTYPE_B b_val;
extract_scalar_tensor(b, &b_val);
b_casted = static_cast<CTYPE_A>(b_val);
});
apply_unary_map_fn(
[b_casted](const CTYPE_A val_a) { return b_casted; },
a.const_data_ptr<CTYPE_A>(),
out.mutable_data_ptr<CTYPE_A>(),
out.numel());
});
return out;
}
} // namespace native
} // namespace executor
} // namespace torch