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2023-05-07 09:27:20.344756: 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.
2023-05-07 09:27:21.555727: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2023-05-07 09:27:27.006000: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1635] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 46673 MB memory: -> device: 0, name: NVIDIA RTX A6000, pci bus id: 0000:01:00.0, compute capability: 8.6
2023-05-07 09:27:27.006565: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1635] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 46673 MB memory: -> device: 1, name: NVIDIA RTX A6000, pci bus id: 0000:c1:00.0, compute capability: 8.6
WARNING:tensorflow:`period` argument is deprecated. Please use `save_freq` to specify the frequency in number of batches seen.
2023-05-07 09:27:28.551745: I tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:637] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once.
2023-05-07 09:27:29.215955: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_0' with dtype float and shape [70000,28,28,1]
[[{{node Placeholder/_0}}]]
2023-05-07 09:27:29.216235: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_0' with dtype float and shape [70000,28,28,1]
[[{{node Placeholder/_0}}]]
2023-05-07 09:27:30.320567: I tensorflow/compiler/xla/service/service.cc:169] XLA service 0x7f6d78004330 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2023-05-07 09:27:30.320639: I tensorflow/compiler/xla/service/service.cc:177] StreamExecutor device (0): NVIDIA RTX A6000, Compute Capability 8.6
2023-05-07 09:27:30.320655: I tensorflow/compiler/xla/service/service.cc:177] StreamExecutor device (1): NVIDIA RTX A6000, Compute Capability 8.6
2023-05-07 09:27:30.329558: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
2023-05-07 09:27:30.482321: I tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:424] Loaded cuDNN version 8600
2023-05-07 09:27:30.929682: I ./tensorflow/compiler/jit/device_compiler.h:180] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process.