#1 - dual 4090 Update README.md

README.md

@@ -3,7 +3,33 @@ Machine Learning - AI - Tensorflow - Keras - NVidia - Google
 
 # Environments
 
-## RTX-4500
+## RTX-4090 Suprim Dual
+```
+michael@13900b MINGW64 /c/wse_github/obrienlabsdev/machine-learning/environments/windows (main)
+$ docker build -t ml-tensorflow .
+michael@13900b MINGW64 /c/wse_github/obrienlabsdev/machine-learning/environments/windows (main)
+$ docker run --rm --gpus all ml-tensorflow
+
+2023-11-25 04:06:47.732831: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1886] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 21286 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4090, pci bus id: 0000:01:00.0, compute capability: 8.9
+2023-11-25 04:06:47.733361: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:880] could not open file to read NUMA node: /sys/bus/pci/devices/0000:02:00.0/numa_node
+Your kernel may have been built without NUMA support.
+2023-11-25 04:06:47.733383: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1886] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 21286 MB memory:  -> device: 1, name: NVIDIA GeForce RTX 4090, pci bus id: 0000:02:00.0, compute capability: 8.9
+Downloading data from https://www.cs.toronto.edu/~kriz/cifar-100-python.tar.gz
+169001437/169001437 [==============================] - 8s 0us/step
+Epoch 1/40
+2023-11-25 04:07:16.813872: I tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:442] Loaded cuDNN version 8600
+2023-11-25 04:07:17.564042: I tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:442] Loaded cuDNN version 8600
+2023-11-25 04:07:19.761064: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f15381ed280 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
+2023-11-25 04:07:19.761096: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 4090, Compute Capability 8.9
+2023-11-25 04:07:19.761099: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (1): NVIDIA GeForce RTX 4090, Compute Capability 8.9
+2023-11-25 04:07:19.764829: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
+2023-11-25 04:07:19.821529: I ./tensorflow/compiler/jit/device_compiler.h:186] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.
+196/196 [==============================] - 37s 53ms/step - loss: 4.3691 - accuracy: 0.0853
+Epoch 2/40
+196/196 [==============================] - 9s 48ms/step - loss: 3.8850 - accuracy: 0.1505
+
+```
+## RTX-A4500 - Dual
 
 ## Quadro RTX-5000 - TU104
 ```