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82 lines
2.8 KiB
82 lines
2.8 KiB
// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package main
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import "../paddle"
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import "strings"
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import "io/ioutil"
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import "strconv"
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import "reflect"
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func main() {
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config := paddle.NewAnalysisConfig()
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config.SetModel("data/model/__model__", "data/model/__params__")
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config.DisableGlogInfo()
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config.SwitchUseFeedFetchOps(false)
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config.SwitchSpecifyInputNames(true)
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predictor := paddle.NewPredictor(config)
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println("============== paddle inference ==============")
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println("input num: ", predictor.GetInputNum())
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println("input name: ", predictor.GetInputNames()[0])
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println("output num: ", predictor.GetOutputNum())
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println("output name: ", predictor.GetInputNames()[0])
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println("============== run inference =================")
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input := predictor.GetInputTensors()[0]
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output := predictor.GetOutputTensors()[0]
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filename := "data/data.txt"
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data := ReadData(filename)
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input.SetValue(data[:1 * 3 * 300 * 300])
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input.Reshape([]int32{1, 3, 300, 300})
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predictor.SetZeroCopyInput(input)
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predictor.ZeroCopyRun()
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predictor.GetZeroCopyOutput(output)
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println("============= parse output ===================")
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output_val := output.Value()
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value := reflect.ValueOf(output_val)
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shape, dtype := paddle.ShapeAndTypeOf(value)
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switch dtype {
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case paddle.PaddleDType(paddle.FLOAT32):
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v := value.Interface().([][]float32)
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println("v: ", v[0][0], v[0][1], "...")
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case paddle.PaddleDType(paddle.UINT8):
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v := value.Interface().([][]uint8)
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println("v: ", v[0][0], v[0][1], "...")
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case paddle.PaddleDType(paddle.INT32):
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v := value.Interface().([][]int32)
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println("v: ", v[0][0], v[0][1], "...")
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case paddle.PaddleDType(paddle.INT64):
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v := value.Interface().([][]int64)
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println("v: ", v[0][0], v[0][1], "...")
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}
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println(shape[0], shape[1])
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println(output.Shape()[0])
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}
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func ReadData(filename string) []float32 {
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file_bytes, _ := ioutil.ReadFile(filename)
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data_slice := strings.Split(string(file_bytes), " ")
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var result []float32
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for _, n := range data_slice {
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r, _ := strconv.ParseFloat(n, 32)
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result = append(result, float32(r))
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}
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return result
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}
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