wehub-resource-sync
69 lines
2.6 KiB
C++
69 lines
2.6 KiB
C++
/* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
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 "paddle/fluid/inference/tensorrt/convert/op_converter.h"
|
|
|
|
namespace paddle::inference::tensorrt {
|
|
|
|
class ArgMaxOpConverter : public OpConverter {
|
|
public:
|
|
void operator()(const framework::proto::OpDesc& op,
|
|
const framework::Scope& scope,
|
|
bool test_mode) override {
|
|
VLOG(3) << "convert a arg_max op to tensorrt topk layer";
|
|
framework::OpDesc op_desc(op, nullptr);
|
|
// Declare inputs
|
|
auto* input = engine_->GetITensor(op_desc.Input("X")[0]);
|
|
auto input_dims = input->getDimensions();
|
|
int rank = input_dims.nbDims;
|
|
int axis = op_desc.HasAttr("axis")
|
|
? PADDLE_GET_CONST(int64_t, op_desc.GetAttr("axis"))
|
|
: -1;
|
|
if (axis < 0) axis += rank;
|
|
auto* topk_layer = TRT_ENGINE_ADD_LAYER(
|
|
engine_, TopK, *input, nvinfer1::TopKOperation::kMAX, 1, 1 << axis);
|
|
|
|
auto output_name = op_desc.Output("Out")[0];
|
|
bool keepdims = PADDLE_GET_CONST(bool, op_desc.GetAttr("keepdims"));
|
|
if (keepdims) {
|
|
ReplenishLayerAndOutput(topk_layer,
|
|
"arg_max",
|
|
{output_name + "_value", output_name},
|
|
test_mode);
|
|
} else {
|
|
int topk_out_shape_size =
|
|
topk_layer->getOutput(1)->getDimensions().nbDims;
|
|
std::vector<bool> should_squeeze(topk_out_shape_size, false);
|
|
should_squeeze[axis] = true;
|
|
std::vector<int> gather_indices;
|
|
for (int i = 0; i < topk_out_shape_size; ++i) {
|
|
if (!should_squeeze[i]) {
|
|
gather_indices.push_back(i);
|
|
}
|
|
}
|
|
auto squeeze_layer =
|
|
TRT_ENGINE_ADD_LAYER(engine_, Shuffle, *topk_layer->getOutput(1));
|
|
auto shape_tensor = Shape(topk_layer->getOutput(1));
|
|
auto real_shape_tensor = Gather(shape_tensor, gather_indices);
|
|
squeeze_layer->setInput(1, *real_shape_tensor);
|
|
ReplenishLayerAndOutput(
|
|
squeeze_layer, "arg_max", {output_name}, test_mode);
|
|
}
|
|
}
|
|
};
|
|
|
|
} // namespace paddle::inference::tensorrt
|
|
|
|
REGISTER_TRT_OP_CONVERTER(arg_max, ArgMaxOpConverter);
|