keras_init___env_tf2

Author: RohitDhankar

basic_foo/keras_mnist/src/env_tf2_reqmts.log

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+absl-py==1.4.0
+astunparse==1.6.3
+backcall==0.2.0
+cachetools==5.3.1
+certifi==2023.7.22
+charset-normalizer==3.2.0
+debugpy==1.4.1
+decorator==5.0.9
+entrypoints==0.3
+flatbuffers==23.5.26
+gast==0.4.0
+google-auth==2.22.0
+google-auth-oauthlib==1.0.0
+google-pasta==0.2.0
+grpcio==1.57.0
+h5py==3.9.0
+idna==3.4
+importlib-metadata==6.8.0
+ipykernel==6.2.0
+ipython==7.26.0
+ipython-genutils==0.2.0
+jedi==0.18.0
+jupyter-client==7.0.1
+jupyter-core==4.7.1
+keras==2.13.1
+libclang==16.0.6
+Markdown==3.4.4
+MarkupSafe==2.1.3
+matplotlib-inline==0.1.2
+nest-asyncio==1.5.1
+numpy==1.24.3
+nvidia-cublas-cu11==11.11.3.6
+nvidia-cudnn-cu11==8.6.0.163
+oauthlib==3.2.2
+opt-einsum==3.3.0
+packaging==23.1
+parso==0.8.2
+pexpect==4.8.0
+pickleshare==0.7.5
+prompt-toolkit==3.0.20
+protobuf==4.24.2
+ptyprocess==0.7.0
+pyasn1==0.5.0
+pyasn1-modules==0.3.0
+pydot==1.4.2
+Pygments==2.10.0
+pyparsing==3.1.1
+pyzmq==22.2.1
+requests==2.31.0
+requests-oauthlib==1.3.1
+rsa==4.9
+six==1.16.0
+tensorboard==2.13.0
+tensorboard-data-server==0.7.1
+tensorflow==2.13.0
+tensorflow-estimator==2.13.0
+tensorflow-io-gcs-filesystem==0.33.0
+termcolor==2.3.0
+tornado==6.1
+typing_extensions==4.5.0
+urllib3==1.26.16
+wcwidth==0.2.5
+Werkzeug==2.3.7
+wrapt==1.15.0
+zipp==3.16.2

basic_foo/keras_mnist/src/log_terminal_test_1.log

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+2023-09-03 16:37:34.144074: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
+To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
+2023-09-03 16:37:34.628037: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
+2023-09-03 16:37:35.090737: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
+2023-09-03 16:37:35.105746: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
+2023-09-03 16:37:35.106067: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
+2023-09-03 16:37:35.106748: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
+2023-09-03 16:37:35.106970: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
+2023-09-03 16:37:35.107179: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
+2023-09-03 16:37:35.498221: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
+2023-09-03 16:37:35.498509: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
+2023-09-03 16:37:35.498723: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
+2023-09-03 16:37:35.498912: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 2208 MB memory:  -> device: 0, name: GeForce GTX 1650, pci bus id: 0000:01:00.0, compute capability: 7.5
+1 Physical GPUs, 1 Logical GPUs
+/home/dhankar/anaconda3/envs/env_tf2/lib/python3.9/site-packages/nvidia/cudnn/__init__.py
+--params_calc_l1---> 108
+--params_calc_l2---> 288
+Model: "sequential"
+_________________________________________________________________
+ Layer (type)                Output Shape              Param #   
+=================================================================
+ dense (Dense)               (None, 12)                108       
+                                                                 
+ dense_1 (Dense)             (None, 32)                416       
+                                                                 
+=================================================================
+Total params: 524 (2.05 KB)
+Trainable params: 524 (2.05 KB)
+Non-trainable params: 0 (0.00 Byte)
+_________________________________________________________________
+None
+===========
+--layer.name- dense
+--layer.inbound_nodes- [<keras.src.engine.node.Node object at 0x7f98d00fccd0>]
+--layer.outbound_nodes- [<keras.src.engine.node.Node object at 0x7f98d00fcd30>]
+===========
+--layer.name- dense_1
+--layer.inbound_nodes- [<keras.src.engine.node.Node object at 0x7f98d00fcd30>]
+--layer.outbound_nodes- []