Comments (3)
N.B. It turns out one should use 2.0.0a0
and not 2.0.0-alpha0
, i.e. tensorflow[-gpu]-2.0.0a0
and not tensorflow[-gpu]-2.0.0-alpha0
(s. https://stackoverflow.com/questions/55521403/pip-cant-find-tensorflow-gpu-2-0-alpha and PEP 440).
from bert-for-tf2.
I guess the tensorflow
dependency in my requirements.txt
is sub-optimal.
I've just removed it (for now, until I have a better idea, s. tensorflow/tensorflow#7166), and released a new 0.1.6 version, so you should be able to install it now, after installing tensorflow
or tensorflow-gpu
first.
from bert-for-tf2.
Thanks. I got it to load.
As a side note, bert-for-tf2 wants to install tf 1.13.1. The only way that I could get this to work was to load bert-for-tf2 first and then to load tf 2.0.0a0 (as seen below)>
pip install --user bert-for-tf2 # Still need to get this to work
pip install --user tensorflow-gpu==2.0.0a0
from bert-for-tf2.
Related Issues (20)
- ResourceExhaustedError: OOM when allocating tensor with shape[501153,768] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc [Op:Mul]
- mixed precision HOT 3
- example (gpu_movie_reviews) has some mistake
- Failed to get weights from pretrained google model HOT 2
- Can not load pretrained bert weights when loading chinese_L-12_H-768_A-12/bert_model.ckpt HOT 3
- Paddings must be non-negative
- albert classification error(Failed copying input tensor from GPU in order to run Identity: GPU sync failed [Op:Identity])
- ValueError: Found unexpected keys that do not correspond to any Model output
- More comments for the code
- Can't train BERT with loaded weights on QA Task HOT 3
- Setting unexpected parameter 'name' in Params instance 'Params' HOT 2
- how to using this in functional model
- may be there is some problem work with tf hub
- AttributeError: module 'bert' has no attribute 'Layer'
- type error HOT 5
- Activation after bert-layer differs
- Count of weight not found[196]
- OSS License compatibility question
- tensorflow.python.keras.layer.input_spec should be replaced with tensorflow.keras.layers.InputSpec HOT 1
- setuptools.convert_path removed
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from bert-for-tf2.