File size: 1,985 Bytes
be903e2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
#include "pass_ncnn.h"
namespace pnnx {
namespace ncnn {
class F_log_softmax : public GraphRewriterPass
{
public:
const char* match_pattern_graph() const
{
return R"PNNXIR(7767517
3 2
pnnx.Input input 0 1 input
F.log_softmax op 1 1 input out dim=%dim
pnnx.Output output 1 0 out
)PNNXIR";
}
const char* replace_pattern_graph() const
{
return R"PNNXIR(7767517
4 3
pnnx.Input input 0 1 input
F.softmax softmax 1 1 input softmax
UnaryOp log 1 1 softmax out 0=8
pnnx.Output output 1 0 out
)PNNXIR";
}
const char* type_str() const
{
return "F_log_softmax";
}
const char* name_str() const
{
return "f_logsoftmax";
}
void write(const std::map<std::string, Operator*>& ops, const std::map<std::string, Parameter>& captured_params, const std::map<std::string, Attribute>& captured_attrs) const
{
GraphRewriterPass::write(ops, captured_params, captured_attrs);
ops.at("softmax")->params["dim"] = captured_params.at("dim");
}
};
REGISTER_GLOBAL_PNNX_NCNN_GRAPH_REWRITER_PASS(F_log_softmax, 19)
} // namespace ncnn
} // namespace pnnx
|