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tensorflow.python.framework.errors_impl.ResourceExhaustedError: 2 root error(s) found.
(0) Resource exhausted: OOM when allocating tensor with shape[256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[node encoder/encoder_layer/layer_normalization/moments/variance (defined at /tmp/tmpxfTS75.py:8) ]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
[[tied_embedding_softmax_1/add/_3091]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
(1) Resource exhausted: OOM when allocating tensor with shape[256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[node encoder/encoder_layer/layer_normalization/moments/variance (defined at /tmp/tmpxfTS75.py:8) ]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
N.B I am using GPU with Colab Pro (16 GB GPU) is it enough or suggest me some!
The text was updated successfully, but these errors were encountered:
tensorflow.python.framework.errors_impl.ResourceExhaustedError: 2 root error(s) found.
(0) Resource exhausted: OOM when allocating tensor with shape[256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[node encoder/encoder_layer/layer_normalization/moments/variance (defined at /tmp/tmpxfTS75.py:8) ]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
(1) Resource exhausted: OOM when allocating tensor with shape[256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[node encoder/encoder_layer/layer_normalization/moments/variance (defined at /tmp/tmpxfTS75.py:8) ]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
N.B I am using GPU with Colab Pro (16 GB GPU) is it enough or suggest me some!
The text was updated successfully, but these errors were encountered: