Comments (1)
Hi @earlytalk ,
As per the log what i understood is the system is checking for tensorflow-cpu
package which not exists. If you have installed tensorflow package which is by default GPU package. You might need to install tensorflow-cpu
and check.
Also If your OS is windows then GPU support not available for TF versions>=2.11v. Either you need to install tensorflow-cpu
or install WSL2 for enabling GPU. Please check the attached documentation for more details.
from tensorflow.
Related Issues (20)
- Running the same model in TF and TFLiteMicro produces different outputs HOT 2
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- Exception encountered: Unrecognized keyword arguments: ['batch_shape'] HOT 6
- Profiler does not Seem to Output Timesteps in xplane.pb - "No step marker observed and hence the step time is unknown" from Tensorboard HOT 3
- Tensorflow compatibility with pyinstaller HOT 2
- Memory leak when jit compiling
- Add support for TensorRT 10 HOT 1
- `tensorflow::RunOptions::RunOptions(void)` symbol missing in built tensorflow.dll (Windows) HOT 2
- Cannot find any way to install tensorflow<=2.15.0 HOT 7
- Suspected Corner Case in XLA Compilation - vectorized_sum, conditional, scatter_nd_update Complains about Dynamic Shape when we should Know it
- TFLite Multipose model input error for android HOT 1
- Please update the links on documentation page, pointing to the new location - moved to /src
- tf.raw_ops.StringSplitV2 does not limit a number of splits by max_split attribute HOT 1
- ImportError: DLL load failed while importing _pywrap_tf2 HOT 2
- W0000 00:00:1714315704.778368 2252 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update HOT 3
- IllegalArgumentException: Internal error: Failed to run on the given Interpreter
- TfLiteGpuDelegate Init: BATCH_MATMUL: Node 333 is already a consumer of the value 334
- CUDNN_STATUS_BAD_PARAM in external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc(4175): 'op' CUDNN_BACKEND_OPERATION: cudnnFinalize Failed HOT 3
- Some confusion about Tensorflow Distributed Training(The amount of synchronized data is much larger than the theoretical value) HOT 2
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from tensorflow.