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Add Mobilenet2SSDLite test

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The new test works both with TensorRT and cuDNN. Preprocessing and
Postprocessing are missing. Add ClippedReLU (for ReLU6), groups for
Conv2d, additional bias for convolution.

Other minors:
-move the timer in the detector to measure all the
processing time for a given frame (both centernet and yolo);
-add int8 flag.

Signed-off-by: Micaela Verucchi <micaelaverucchi@gmail.com>
Davide Sapienza <sapienza.dav@gmail.com>
This commit is contained in:
xavier
2020-02-21 10:45:46 +01:00
parent 97b88ef52d
commit 38a1b9dcb2
17 changed files with 649 additions and 56 deletions
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src/Network.cpp
+12 -6
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@@ -22,19 +22,25 @@ Network::Network(dataDim_t input_dim) {
fp16 = false;
dla = false;
int8 = false;
if(const char* env_p = std::getenv("TKDNN_MODE")) {
if(strcmp(env_p, "FP16") == 0)
fp16 = true;
else if(strcmp(env_p, "DLA") == 0) {
dla = true;
fp16 = true;
}
else if(strcmp(env_p, "DLA") == 0) {
dla = true;
fp16 = true;
}
else if(strcmp(env_p, "INT8") == 0) {
int8 = true;
}
}
if(fp16)
std::cout<<COL_REDB<<"!! FP16 INERENCE ENABLED !!"<<COL_END<<"\n";
std::cout<<COL_REDB<<"!! FP16 INFERENCE ENABLED !!"<<COL_END<<"\n";
if(dla)
std::cout<<COL_GREENB<<"!! DLA INERENCE ENABLED !!"<<COL_END<<"\n";
std::cout<<COL_GREENB<<"!! DLA INFERENCE ENABLED !!"<<COL_END<<"\n";
if(int8)
std::cout<<COL_ORANGEB<<"!! INT8 INFERENCE ENABLED !!"<<COL_END<<"\n";
checkCUDNN( cudnnCreate(&cudnnHandle) );