blob: 6903bf3cad516e6f5074c58aa9861e07e6c2da45 [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/util/matmul_ops_util.h>
#include <executorch/kernels/portable/cpu/vec_ops.h>
#include <executorch/runtime/kernel/kernel_includes.h>
namespace torch {
namespace executor {
namespace native {
using Tensor = exec_aten::Tensor;
Tensor&
mm_out(RuntimeContext& ctx, const Tensor& in, const Tensor& mat2, Tensor& out) {
ET_KERNEL_CHECK(ctx, check_mm_args(in, mat2, out), InvalidArgument, out);
size_t output_ndim = 0;
exec_aten::SizesType output_sizes[kTensorDimensionLimit];
get_mm_out_target_size(in, mat2, output_sizes, &output_ndim);
ET_KERNEL_CHECK(
ctx,
resize_tensor(out, {output_sizes, output_ndim}) == Error::Ok,
InvalidArgument,
out);
ET_SWITCH_REAL_TYPES_AND(Half, in.scalar_type(), ctx, "mm.out", CTYPE, [&]() {
size_t m = in.size(0);
size_t n = in.size(1);
size_t p = mat2.size(1);
vec_matmul<CTYPE>(
out.mutable_data_ptr<CTYPE>(),
in.const_data_ptr<CTYPE>(),
mat2.const_data_ptr<CTYPE>(),
m,
n,
p);
});
return out;
}
} // namespace native
} // namespace executor
} // namespace torch