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TMVA_CNN_Classificaton:0: RuntimeWarning: Skip using PyTorch since torch is not installed
Running with nthreads  =  8
DataSetInfo              : [dataset] : Added class "Signal"
                         : Add Tree sig_tree of type Signal with 5000 events
DataSetInfo              : [dataset] : Added class "Background"
                         : Add Tree bkg_tree of type Background with 5000 events
                         : Dataset[dataset] : Class index : 0  name : Signal
                         : Dataset[dataset] : Class index : 1  name : Background
Info in <TMVA_CNN_Classification>: Building convolutional keras model
WARNING:tensorflow:From /opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/python/keras/initializers.py:94: calling TruncatedNormal.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Call initializer instance with the dtype argument instead of passing it to the constructor
WARNING:tensorflow:From /opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
Instructions for updating:
If using Keras pass *_constraint arguments to layers.
WARNING:tensorflow:From /opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/python/ops/nn_impl.py:183: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
2022-12-08 12:12:27.093304: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2022-12-08 12:12:27.121935: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 1999965000 Hz
2022-12-08 12:12:27.122891: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x560dbdfe51d0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2022-12-08 12:12:27.122927: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
Model: "sequential"
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
reshape (Reshape)            (None, 16, 16, 1)         0         
_________________________________________________________________
conv2d (Conv2D)              (None, 16, 16, 10)        100       
_________________________________________________________________
conv2d_1 (Conv2D)            (None, 16, 16, 10)        910       
_________________________________________________________________
max_pooling2d (MaxPooling2D) (None, 8, 8, 10)          0         
_________________________________________________________________
flatten (Flatten)            (None, 640)               0         
_________________________________________________________________
dense (Dense)                (None, 64)                41024     
_________________________________________________________________
dense_1 (Dense)              (None, 2)                 130       
=================================================================
Total params: 42,164
Trainable params: 42,164
Non-trainable params: 0
_________________________________________________________________
Info in <TMVA_CNN_Classification>: Booking convolutional keras model
Factory                  : Booking method: PyKeras
                         : 
                         : Setting up keras with 
                         : 
<FATAL>                         : 
***> abort program execution
Traceback (most recent call last):
  File "tutorial_new.py", line 391, in <module>
    'H:!V:VarTransform=None:FilenameModel=model_cnn.h5:FilenameTrainedModel=trained_model_cnn.h5:NumEpochs=10:BatchSize=100')
TypeError: none of the 3 overloaded methods succeeded. Full details:
  TMVA::MethodBase* TMVA::Factory::BookMethod(TMVA::DataLoader* loader, TString theMethodName, TString methodTitle, TString theOption = "") =>
    TypeError: could not convert argument 2
  TMVA::MethodBase* TMVA::Factory::BookMethod(TMVA::DataLoader* loader, TMVA::Types::EMVA theMethod, TString methodTitle, TString theOption = "") =>
    runtime_error: FATAL error
  TMVA::MethodBase* TMVA::Factory::BookMethod(TMVA::DataLoader*, TMVA::Types::EMVA, TString, TString, TMVA::Types::EMVA, TString) =>
    TypeError: takes at least 6 arguments (4 given)