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op_full.cpp
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58 lines (47 loc) · 1.48 KB
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/*
* 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/runtime/kernel/kernel_includes.h>
namespace torch {
namespace executor {
namespace native {
using Tensor = executorch::aten::Tensor;
using ScalarType = executorch::aten::ScalarType;
Tensor& full_out(
KernelRuntimeContext& ctx,
const IntArrayRef sizes,
const Scalar& fill_value,
Tensor& out) {
(void)ctx;
ScalarType val_type = utils::get_scalar_dtype(fill_value);
ScalarType out_type = out.scalar_type();
// Resize for dynamic shape
ET_KERNEL_CHECK_MSG(
ctx,
resize_tensor(out, sizes) == Error::Ok,
InvalidArgument,
out,
"Failed to resize output tensor.");
constexpr auto name = "full.out";
ET_SWITCH_SCALAR_OBJ_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
CTYPE_VAL val;
ET_KERNEL_CHECK(
ctx, utils::extract_scalar(fill_value, &val), InvalidArgument, );
ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE_OUT, [&] {
CTYPE_OUT val_casted = static_cast<CTYPE_OUT>(val);
auto data_out = out.mutable_data_ptr<CTYPE_OUT>();
for (size_t i = 0; i < out.numel(); ++i) {
data_out[i] = val_casted;
}
});
});
return out;
}
} // namespace native
} // namespace executor
} // namespace torch