1 /*
2 * Copyright (c) Meta Platforms, Inc. and affiliates.
3 * All rights reserved.
4 *
5 * This source code is licensed under the BSD-style license found in the
6 * LICENSE file in the root directory of this source tree.
7 */
8
9 #include <cmath>
10
11 #include <executorch/kernels/portable/cpu/util/reduce_util.h>
12 #include <executorch/runtime/kernel/kernel_includes.h>
13 #include <executorch/runtime/platform/assert.h>
14
15 namespace torch {
16 namespace executor {
17 namespace native {
18
19 using Tensor = exec_aten::Tensor;
20 using ScalarType = exec_aten::ScalarType;
21
amin_out(KernelRuntimeContext & ctx,const Tensor & in,ArrayRef<int64_t> dim_list,bool keepdim,Tensor & out)22 Tensor& amin_out(
23 KernelRuntimeContext& ctx,
24 const Tensor& in,
25 ArrayRef<int64_t> dim_list,
26 bool keepdim,
27 Tensor& out) {
28 (void)ctx;
29
30 ET_KERNEL_CHECK(
31 ctx,
32 check_amin_amax_args(in, dim_list, keepdim, out),
33 InvalidArgument,
34 out);
35
36 ET_KERNEL_CHECK(
37 ctx,
38 resize_reduction_out(in, dim_list, keepdim, out) == Error::Ok,
39 InvalidArgument,
40 out);
41
42 ET_KERNEL_CHECK(
43 ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
44
45 ET_SWITCH_REAL_TYPES_AND(
46 Bool, in.scalar_type(), ctx, "amin.out", CTYPE, [&]() {
47 CTYPE* out_data = out.mutable_data_ptr<CTYPE>();
48 for (size_t out_ix = 0; out_ix < out.numel(); ++out_ix) {
49 out_data[out_ix] = reduce_over_dim_list<CTYPE>(
50 [](CTYPE v, CTYPE min_v) {
51 return std::isnan(v) || v < min_v ? v : min_v;
52 },
53 in,
54 dim_list,
55 out_ix);
56 }
57 });
58
59 return out;
60 }
61
62 } // namespace native
63 } // namespace executor
64 } // namespace torch
65