tensorflow Errors

101 entries

Error Code Domain Category Fix Rate Confidence Tier
InternalError: Blas GEMM launch failed : a]=[32,128], b=[128,64] [Op:MatMul] EMM tensorflow gpu_error 80% 85% ai_generated
AbortedError: Operation was aborted — tensorflow runtime_error 72% 78% ai_generated
ValueError: expected channels_last but got channels_first — tensorflow config_error 85% 88% ai_generated
tensorflow.python.framework.errors_impl.NotFoundError: Unsuccessful TensorSliceReader: Failed to get matching files on /path/to/model/checkpoint — tensorflow io_error 85% 88% ai_generated
NotFoundError: Key not found in checkpoint — tensorflow io_error 80% 84% ai_generated
InternalError: failed to initialize CUDA — tensorflow runtime_error 78% 83% ai_generated
Could not load dynamic library 'libcudart.so.12'; dlerror: libcudart.so.12: cannot open shared object — tensorflow installation_error 82% 88% ai_generated
LookupError: No gradient defined for operation — tensorflow runtime_error 78% 82% ai_generated
ValueError: dataset cardinality is unknown — tensorflow config_error 82% 86% ai_generated
RuntimeError: strategy scope error in distributed training — tensorflow runtime_error 78% 82% ai_generated
FailedPreconditionError: Attempting to use uninitialized value — tensorflow runtime_error 82% 86% ai_generated
tensorflow.python.framework.errors_impl.UnknownError: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize — tensorflow gpu_error 82% 88% ai_generated
RuntimeError: cannot import frozen graph in TF2 — tensorflow compatibility_error 78% 82% ai_generated
ResourceExhaustedError: OOM despite free GPU memory — tensorflow memory_error 78% 82% ai_generated
OSError: SavedModel not found at tfhub URL — tensorflow io_error 82% 86% ai_generated
InvalidArgumentError: Incompatible shapes: [32,10] vs. [32,5] — tensorflow shape_error 90% 90% ai_generated
tensorflow.python.framework.errors_impl.InvalidArgumentError: Matrix size-incompatible: In[0]: [32,128], In[1]: [256,10] — tensorflow shape_error 88% 90% ai_generated
InvalidArgumentError: logits and labels must have same first dimension — tensorflow shape_error 82% 86% ai_generated
TypeError: cannot mix Sequential and Functional API — tensorflow type_error 82% 86% ai_generated
ConverterError: TFLite conversion failed — tensorflow conversion_error 78% 82% ai_generated
ValueError: loss function incompatible with model output — tensorflow config_error 85% 88% ai_generated
Loss scaling resulted in NaN: dynamic loss scale too high — tensorflow training_error 78% 82% ai_generated
NotImplementedError: saving to HDF5 not supported for this model — tensorflow io_error 82% 86% ai_generated
ModuleNotFoundError: No module named 'keras' / ImportError: cannot import name 'layers' from 'keras' — tensorflow import_error 90% 90% ai_generated
tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor — tensorflow memory_error 85% 90% ai_generated
ResourceExhaustedError: OOM when allocating tensor — tensorflow memory_error 80% 85% ai_generated
NotFoundError: op not supported on TPU — tensorflow compatibility_error 78% 82% ai_generated
AlreadyExistsError: TensorBoard profiler already active — tensorflow tool_error 82% 86% ai_generated
ValueError: quantization failed for model layer — tensorflow conversion_error 78% 82% ai_generated
InvalidArgumentError: cannot convert ragged to dense tensor — tensorflow type_error 82% 86% ai_generated
ResourceExhaustedError: allocator ran out of memory — tensorflow memory_error 78% 83% ai_generated
ValueError: signature not found in SavedModel — tensorflow io_error 82% 86% ai_generated
ValueError: Shapes (None,10) and (None,5) are incompatible — tensorflow shape_error 85% 88% ai_generated
TypeError: SparseTensor not supported in this context — tensorflow type_error 80% 84% ai_generated
InternalError: TensorRT conversion failed — tensorflow conversion_error 78% 82% ai_generated
WARNING: 5 out of last 5 calls to function triggered retracing — tensorflow performance_error 80% 84% ai_generated
AttributeError: module 'tensorflow' has no attribute 'Session' — tensorflow api_error 90% 92% ai_generated
UnimplementedError: Cast from string to float is not supported — tensorflow type_error 82% 86% ai_generated
RuntimeError: GPU device not found. Could not list physical devices: GPU — tensorflow device_error 85% 88% ai_generated
ValueError: Input 0 of layer is incompatible with the layer — tensorflow shape_error 85% 88% ai_generated
InternalError: cuDNN initialization failed: CUDNN_STATUS_NOT_INITIALIZED CUDNN_INIT tensorflow gpu_error 75% 85% ai_generated
OutOfRangeError: End of sequence EOS tensorflow data_error 90% 88% ai_generated
DataLossError: Unable to open table file /path/to/checkpoint: Data loss: file is corrupted CKPT_CORRUPT tensorflow data_error 70% 82% ai_generated
InvalidArgumentError: Incompatible shapes for broadcasting: [64, 128, 3] vs [64, 128, 4] BROADCAST tensorflow type_error 85% 90% ai_generated
WARNING:tensorflow:5 out of the last 5 calls to <function train_step> triggered tf.function retracing RETRACE tensorflow runtime_error 80% 87% ai_generated
tensorflow.python.framework.errors_impl.InvalidArgumentError: Loss is inf or nan : Tensor had NaN values NAN_LOSS tensorflow runtime_error 75% 90% ai_generated
DataLossError: corrupted record at 12345: checksum mismatch DLC tensorflow data_error 80% 85% ai_generated
NotImplementedError: while_loop is not supported in eager mode NIE tensorflow runtime_error 78% 82% ai_generated
InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [5,10] rhs shape= [10,10] IAS tensorflow config_error 85% 88% ai_generated
InternalError: cuDNN RNN initialization failed: CUDNN_STATUS_BAD_PARAM ICR tensorflow gpu_error 75% 83% ai_generated
TypeError: Cannot convert value of type 'numpy.ndarray' to TensorFlow DType 'int32' TCD tensorflow type_error 82% 84% ai_generated
ResourceExhaustedError: Failed to get next element from iterator: Out of memory while reading data REI tensorflow resource_error 82% 86% ai_generated
tensorflow.python.framework.errors_impl.InternalError: OpKernel registration failed: Could not find 'CustomOp' in the list of registered ops CUST tensorflow build_error 88% 85% ai_generated
OutOfRangeError: End of sequence [Op:IteratorGetNext] EOS tensorflow runtime_error 95% 88% ai_generated
InternalError: CUDA driver version is insufficient for CUDA runtime version CUD tensorflow install_error 92% 90% ai_generated
WARNING:tensorflow:5 out of the last 5 calls to <function train_step> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. RET tensorflow runtime_error 85% 87% ai_generated
RuntimeError: tf.placeholder() is not compatible with eager execution. PLH tensorflow type_error 95% 90% ai_generated
InternalError: Could not find valid device for node. Node: 'dnn/conv2d/Conv2D' Op:Conv2D. This is probably because CUDA_VISIBLE_DEVICES is set incorrectly. ECF tensorflow config_error 85% 85% ai_generated
ValueError: Unable to serialize the layer 'my_custom_layer'. The layer has a non-serializable argument in its __init__ method. EMSS tensorflow type_error 85% 88% ai_generated
InvalidArgumentError: shuffle buffer must have at least one element. [Op:ShuffleDataset] EDSF tensorflow data_error 90% 87% ai_generated
ConverterError: Quantization not supported for op 'Cumsum'. Op has no registered quantized kernel. ETQU tensorflow build_error 80% 86% ai_generated
AbortedError: HorovodAllreduce: op HorovodAllreduce failed with error: Timed out waiting for all ranks to join EHAT tensorflow runtime_error 82% 84% ai_generated
ResourceExhaustedError: The function 'train_step' has been retraced 1000 times. The tracing limit has been reached. This may be caused by passing Python literals or tensors with changing shapes. ERTL tensorflow resource_error 88% 89% ai_generated
InternalError: CUDA_ERROR_INVALID_DEVICE: invalid device ordinal GID tensorflow config_error 90% 85% ai_generated
InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [100,256] rhs shape= [200,256] CIS tensorflow runtime_error 80% 88% ai_generated
ConverterError: Flex delegate is not enabled; some ops are not supported by the TFLite runtime TFD tensorflow build_error 85% 87% ai_generated
ValueError: Could not find signature def corresponding to requested signature key 'serving_default' SSD tensorflow config_error 80% 86% ai_generated
InvalidArgumentError: Row lengths must be non-negative. Got values: [-1, 3, 2] RTS tensorflow data_error 75% 84% ai_generated
InternalError: Could not find valid device for node. Node: 'conv2d/Conv2D' Op:Conv2D. This is probably because CUDA_OPERATION_DISABLED or TF32 is disabled. E004 tensorflow gpu_error 85% 85% ai_generated
tensorflow.python.framework.errors_impl.InternalError: OpKernel registration failed: Could not find 'CustomOp' in the list of registered ops. E006 tensorflow build_error 80% 85% ai_generated
tensorflow.python.framework.errors_impl.UnknownError: Failed to save checkpoint to /tmp/model.ckpt: IO error: No space left on device [Op:SaveV2] ESAV tensorflow resource_error 85% 88% ai_generated
RuntimeError: tf.placeholder() is not compatible with eager execution. Use tf.keras.Input() instead. EPLE tensorflow runtime_error 90% 90% ai_generated
tensorflow.python.framework.errors_impl.InternalError: TRITONBACKEND_ModelInstanceInitialize: model 'resnet50' version 1 has unsupported TensorFlow runtime version. Expected 2.12.0, got 2.10.0 ETRV tensorflow config_error 88% 85% ai_generated
TypeError: Could not interpret layer identifier: 'relu6'. Did you mean 'relu'? EKLI tensorflow type_error 90% 86% ai_generated
ValueError: No event files found in directory /logs/train. TensorBoard will not display data. ETBN tensorflow data_error 92% 88% ai_generated
InternalError: cuDNN execution failed: CUDNN_STATUS_EXECUTION_FAILED ECF tensorflow gpu_error 75% 85% ai_generated
InvalidArgumentError: GetNext() failed because the iterator has not been initialized GNF tensorflow runtime_error 85% 82% ai_generated
NotImplementedError: Gradient computation for while_loop is not supported when using symbolic execution WLE tensorflow runtime_error 80% 83% ai_generated
ValueError: Unknown model format: 'h5'. Supported formats: 'tf', 'keras' MSF tensorflow config_error 90% 88% ai_generated
ResourceExhaustedError: Failed to allocate memory for prefetch queue PRF tensorflow resource_error 80% 84% ai_generated
InvalidArgumentError: ConcatOp : Dimensions of inputs should match: shape[0] = [16,32,64] vs. shape[1] = [16,64,64] [Op:ConcatV2] IC tensorflow runtime_error 85% 85% ai_generated
ValueError: Quantization range (min, max) not supported for op 'CONV_2D' with input type float32 and output type uint8 TQR tensorflow build_error 80% 82% ai_generated
InternalError: TF_DATA cache file '/tmp/tf_data_cache_abc123' is corrupted: expected header size 1024 but got 512 TDC tensorflow data_error 95% 83% ai_generated
NotImplementedError: Saving the model to HDF5 format is not supported when the model has multiple outputs with different loss functions KHS tensorflow config_error 95% 86% ai_generated
InternalError: Peer access from GPU:0 to GPU:1 is not supported by the current CUDA driver or device topology GPA tensorflow system_error 80% 84% ai_generated
ValueError: RaggedTensor from tf.ragged.constant has inconsistent row lengths: row 2 has length 5 but expected length 3 based on first row RTI tensorflow type_error 90% 81% ai_generated
FailedPreconditionError: GetNext() failed because the iterator has not been initialized FPRECOND tensorflow runtime_error 90% 85% ai_generated
ConverterError: TFLite conversion failed: quantization for model layer 'conv2d' failed ETFLITE tensorflow build_error 85% 84% ai_generated
DeadlineExceededError: Data service worker timed out after 60000ms DSE_TIMEOUT tensorflow network_error 82% 88% ai_generated
InvalidArgumentError: Ragged tensor is not supported for this operation. [Op:RaggedTensorToSparse] RAGGED_UNSUPPORTED tensorflow type_error 90% 85% ai_generated
RuntimeError: TFLite interpreter failed to create: Could not find the Flex delegate. Ensure the TensorFlow Lite Flex delegate is linked. TFLITE_FLEX_MISSING tensorflow build_error 78% 84% ai_generated
InvalidArgumentError: CPU affinity is not supported on this platform [Op:ModelDataset] CP tensorflow runtime_error 90% 85% ai_generated
InvalidArgumentError: The SavedModel's tag set is empty or does not match the requested tags — tensorflow config_error 92% 88% ai_generated
NotFoundError: Key optimizer/slot_variable not found in checkpoint — tensorflow data_error 88% 87% ai_generated
InvalidArgumentError: Cannot batch ragged tensors with different number of rows — tensorflow data_error 85% 84% ai_generated
RuntimeError: XNNPACK delegate not loaded, falling back to default CPU backend — tensorflow runtime_error 82% 86% ai_generated
ValueError: Graph disconnected: cannot obtain value for tensor KerasTensor(type_spec=TensorSpec(shape=(None, 64), dtype=tf.float32, name='input_2')) at layer 'dense_2' — tensorflow type_error 93% 89% ai_generated
NotFoundError: Variable embedding_table not found in TPUEmbedding. Make sure the embedding config matches the model variables. TPUEV tensorflow config_error 85% 88% ai_generated
InternalError: CUDNN_STATUS_BAD_PARAM: Invalid weight format for cuDNN RNN. Expected format: [num_layers, input_size, num_units] but got [3, 128, 64]. CRWF tensorflow runtime_error 80% 82% ai_generated
FailedPreconditionError: Parameter server at /job:ps/replica:0/task:0 is stale. Expected model version 5 but got 4. [Op:ApplyGradientDescent] DPSV tensorflow runtime_error 80% 83% ai_generated
ValueError: Signature key 'serving_default' not found in SavedModel. Available keys: ['train', 'eval']. Check the model export configuration. SMSIG tensorflow config_error 90% 87% ai_generated