DeepBeam dependency update for Python 3.6, CUDA 12.0,

keras_code/launch_deepbeam.sh

@@ -1,7 +1,7 @@
 #!/bin/bash
 
 # Customize this for your CUDA install
-export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-9.0/lib64/
+export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-12.0/lib64/
 
 # The GPU id depends on the number of GPUs in your system 
 id_gpu=0
@@ -79,7 +79,7 @@ save_path+="_ne_$epochs"
 save_path+="_bs_$batch_size"
 
 # Call the main python script for training
-python2 ./DeepBeam.py \
+python ./DeepBeam.py \
     --data_path $data_path \
     --batch_size $batch_size \
     --train_cnn \
@@ -105,4 +105,4 @@ python2 ./DeepBeam.py \
     --id_gpu $id_gpu \
     --is_2d_model $is_2d_model \
     --patience $patience \
-	--save_path $save_path
+	--save_path $save_path

keras_code/launch_deepbeam_aoa.sh

@@ -1,7 +1,7 @@
 #!/bin/bash
 
 # Customize this for your CUDA install
-export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-9.0/lib64/
+export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-12.0/lib64/
 
 # The GPU id depends on the number of GPUs in your system 
 id_gpu=0
@@ -68,7 +68,7 @@ save_path+="_srn_$snr"
 save_path+="_ne_$epochs"
 save_path+="_bs_$batch_size"
 
-python2 ./DeepBeamAoa.py \
+python ./DeepBeamAoa.py \
     --data_path $data_path \
     --batch_size $batch_size \
     --train_cnn \

keras_code/launch_deepbeam_mixed.sh

@@ -1,7 +1,7 @@
 #!/bin/bash
 
 # Customize this for your CUDA install
-export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-9.0/lib64/
+export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-12.0/lib64/
 
 # The GPU id depends on the number of GPUs in your system 
 id_gpu=0
@@ -75,7 +75,7 @@ save_path+="_2dmodel_$is_2d_model"
 save_path+="_ne_$epochs"
 save_path+="_bs_$batch_size"
 
-python2 ./DeepBeamMixed.py \
+python ./DeepBeamMixed.py \
     --batch_size $batch_size \
     --train_cnn \
     --test_only $test_only \
@@ -101,4 +101,4 @@ python2 ./DeepBeamMixed.py \
     --id_gpu $id_gpu \
     --is_2d_model $is_2d_model \
     --patience $patience \
-	--save_path $save_path
+	--save_path $save_path

keras_code/launch_deepbeam_mixed_testing.sh

@@ -1,7 +1,7 @@
 #!/bin/bash
 
 # Customize this for your CUDA install
-export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-9.0/lib64/
+export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-12.0/lib64/
 
 # The GPU id depends on the number of GPUs in your system 
 id_gpu=0
@@ -38,7 +38,7 @@ plot_confusion=1
 score_only=0
 
 
-python2 ./DeepBeamTestingMixed.py \
+python ./DeepBeamTestingMixed.py \
         --model_dir_path $root$model \
         --batch_size $batch_size \
         --file_save_accuracy $file_save_accuracy \

keras_code/launch_deepbeam_testing.sh

@@ -1,7 +1,7 @@
 #!/bin/bash
 
 # Customize this for your CUDA install
-export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-9.0/lib64/
+export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-12.0/lib64/
 
 # The GPU id depends on the number of GPUs in your system 
 id_gpu=0
@@ -37,7 +37,7 @@ file_save_accuracy=testing_results.pkl
 
 
 
-python2 ./DeepBeamTesting.py \
+python ./DeepBeamTesting.py \
         --data_path $data_path \
         --model_dir_path $root$model \
         --batch_size $batch_size \

keras_code/launch_filters.sh

@@ -18,7 +18,7 @@ how_many_blocks_per_frame=5
 batch_size=100
 num_classes=24
 
-python2 ./DeepBeamGetFilters.py \
+python ./DeepBeamGetFilters.py \
         --model_dir_path $root$model \
         --layer_num $layer_num \
         --id_gpu $id_gpu \

requirements.txt

@@ -1,8 +1,114 @@
-numpy==1.15.4
-Keras==2.2.4
-matplotlib==2.2.3
-pandas==0.23.4
-h5py==2.8.0
-tqdm==4.28.1
-scikit_learn==0.24.2
-tikzplotlib==0.9.8
+# This file may be used to create an environment using:
+# $ conda create --name <env> --file <this file>
+# platform: linux-64
+_libgcc_mutex=0.1=main
+_openmp_mutex=5.1=1_gnu
+_tflow_select=2.3.0=mkl
+absl-py=0.15.0=pyhd3eb1b0_0
+astor=0.8.1=py36h06a4308_0
+blas=1.0=mkl
+c-ares=1.18.1=h7f8727e_0
+ca-certificates=2023.01.10=h06a4308_0
+certifi=2020.6.20=pyhd3eb1b0_3
+cycler=0.10.0=py_1
+dbus=1.13.0=h3a4f0e9_0
+expat=2.2.5=hfc679d8_2
+fontconfig=2.13.1=h65d0f4c_0
+freetype=2.9.1=h6debe1e_4
+gast=0.2.2=py36_0
+gettext=0.19.8.1=h5e8e0c9_1
+glib=2.56.2=h464dc38_1
+google-pasta=0.2.0=pyhd3eb1b0_0
+grpcio=1.14.1=py36h9ba97e2_0
+gst-plugins-base=1.12.5=hde13a9d_0
+gstreamer=1.12.5=h5856ed1_0
+h5py=2.10.0=py36hd6299e0_1
+hdf5=1.10.6=h3ffc7dd_1
+icu=58.2=hfc679d8_0
+importlib-metadata=4.8.1=py36h06a4308_0
+intel-openmp=2022.1.0=h9e868ea_3769
+joblib=1.0.1=pyhd3eb1b0_0
+jpeg=9c=h470a237_1
+keras=2.3.1=py36_0
+keras-applications=1.0.8=py_1
+keras-preprocessing=1.1.2=pyhd3eb1b0_0
+kiwisolver=1.0.1=py36h2d50403_2
+ld_impl_linux-64=2.38=h1181459_1
+libffi=3.2.1=hfc679d8_5
+libgcc-ng=11.2.0=h1234567_1
+libgfortran-ng=11.2.0=h00389a5_1
+libgfortran5=11.2.0=h1234567_1
+libgomp=11.2.0=h1234567_1
+libgpuarray=0.7.6=h14c3975_1003
+libiconv=1.15=h470a237_4
+libpng=1.6.36=ha92aebf_0
+libprotobuf=3.17.2=h4ff587b_1
+libstdcxx-ng=11.2.0=h1234567_1
+libtiff=4.1.0=hc3755c2_3
+libuuid=2.32.1=h470a237_2
+libxcb=1.13=h470a237_2
+libxml2=2.9.8=h422b904_5
+lz4-c=1.8.3=he1b5a44_1001
+mako=1.1.0=py_0
+markdown=3.3.4=py36h06a4308_0
+markupsafe=1.1.1=py36h8c4c3a4_1
+matplotlib=3.0.2=py36h8a2030e_1
+matplotlib-base=3.0.2=py36h20b835b_1
+mkl=2019.4=243
+mkl-service=2.3.0=py36he8ac12f_0
+mkl_fft=1.3.0=py36h54f3939_0
+mkl_random=1.1.0=py36hd6b4f25_0
+ncurses=6.1=hfc679d8_2
+numpy=1.19.2=py36h54aff64_0
+numpy-base=1.19.2=py36hfa32c7d_0
+olefile=0.46=py_0
+openssl=1.0.2u=h7b6447c_0
+opt_einsum=3.3.0=pyhd3eb1b0_1
+pandas=1.1.5=py36ha9443f7_0
+pcre=8.41=hfc679d8_3
+pillow=7.0.0=py36h8328e55_1
+pip=21.2.2=py36h06a4308_0
+protobuf=3.17.2=py36h295c915_0
+pthread-stubs=0.4=h470a237_1
+pygpu=0.7.6=py36hc1659b7_1000
+pyparsing=2.3.0=py_0
+pyqt=5.6.0=py36h8210e8a_8
+python=3.6.7=h5001a0f_1
+python-dateutil=2.7.5=py_0
+python_abi=3.6=1_cp36m
+pytz=2021.3=pyhd3eb1b0_0
+pyyaml=5.3.1=py36h8c4c3a4_0
+qt=5.6.2=hf70d934_9
+readline=7.0=haf1bffa_1
+scikit-learn=0.24.2=py36ha9443f7_0
+scipy=1.5.4=pypi_0
+setuptools=58.0.4=py36h06a4308_0
+sip=4.18.1=py36hfc679d8_0
+six=1.16.0=pyhd3eb1b0_1
+sqlite=3.26.0=hb1c47c0_0
+tensorboard=1.15.0=pyhb230dea_0
+tensorflow=1.15.0=mkl_py36h4920b83_0
+tensorflow-base=1.15.0=mkl_py36he1670d9_0
+tensorflow-estimator=1.15.1=pyh2649769_0
+termcolor=1.1.0=py36h06a4308_1
+theano=1.0.3=py36hfc679d8_1
+threadpoolctl=2.2.0=pyh0d69192_0
+tikzplotlib=0.9.1=py_1
+tk=8.6.12=h1ccaba5_0
+toolchain=2.4.0=0
+toolchain_c_linux-64=2.4.0=0
+toolchain_cxx_linux-64=2.4.0=0
+tornado=5.1.1=py36h470a237_0
+tqdm=4.29.0=py_0
+typing_extensions=4.1.1=pyh06a4308_0
+webencodings=0.5.1=py36_1
+werkzeug=0.16.1=py_0
+wheel=0.37.1=pyhd3eb1b0_0
+wrapt=1.12.1=py36h7b6447c_1
+xorg-libxau=1.0.8=h470a237_6
+xorg-libxdmcp=1.1.2=h470a237_7
+xz=5.2.10=h5eee18b_1
+yaml=0.2.2=h516909a_1
+zipp=3.6.0=pyhd3eb1b0_0
+zlib=1.2.13=h5eee18b_0
+zstd=1.4.4=h3b9ef0a_2