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pasquini-dario / PLR

Guessing passwords via Representation Learning, with style and a mixture of gaussians
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About Tensorflow version #10

Open lakomi opened 2 years ago

lakomi commented 2 years ago

I have two problem. 1、What is your version of TensorFlow、CUDA and cudnn? 2、 Do you have code with PyTorch? Or, Can you provide the code for TensorFlow2.x？

pasquini-dario commented 2 years ago

Hello,

  1. As I wrote in the readme, the version is: tf 1.14.0. I can't recall the exact versions of cuDNN and CUDA I used when I ran the experiments. However, this table lists everything you need to know about tf's compatibility.
  2. Sorry, there is no PyTorch code available and, at the moment, I'm not plaining to write a tf2 version for this code.
lakomi commented 2 years ago

Hello,

  1. As I wrote in the readme, the version is: tf 1.14.0. I can't recall the exact versions of cuDNN and CUDA I used when I ran the experiments. However, this table lists everything you need to know about tf's compatibility.
  2. Sorry, there is no PyTorch code available and, at the moment, I'm not plaining to write a tf2 version for this code.

Hello, have you ever had this problem？This problem occurs when I execute “python train.py CONF/arch1.gin”。 tensorflow 1.15.0。my tensorflow_hub is 0.11.0,but it requires tensorflow >=1.15.0。

Traceback (most recent call last): File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/client/session.py", line 1365, in _do_call return fn(*args) File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/client/session.py", line 1350, in _run_fn target_list, run_metadata) File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.InternalError: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(64, 128), b.shape=(128, 1280), m=64, n=1280, k=128 [[{{node arch1.gin/G/dense/MatMul}}]] (1) Internal: Blas GEMM launch failed : a.shape=(64, 128), b.shape=(128, 1280), m=64, n=1280, k=128 [[{{node arch1.gin/G/dense/MatMul}}]] [[arch1.gin/add_2/_25]] 0 successful operations. 0 derived errors ignored.

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "train.py", line 132, in main() File "train.py", line 125, in main pg.train(data, epochs, batch_size, summary_steps_number=100, use_tqdm=True) File "/home/qss/python_project/PLR/PasswordGAN/vanilla.py", line 97, in train summary = sess.run(merged) File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/client/session.py", line 956, in run run_metadata_ptr) File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/client/session.py", line 1180, in _run feed_dict_tensor, options, run_metadata) File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/client/session.py", line 1359, in _do_run run_metadata) File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/client/session.py", line 1384, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.InternalError: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(64, 128), b.shape=(128, 1280), m=64, n=1280, k=128 [[node arch1.gin/G/dense/MatMul (defined at /home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/framework/ops.py:1748) ]] (1) Internal: Blas GEMM launch failed : a.shape=(64, 128), b.shape=(128, 1280), m=64, n=1280, k=128 [[node arch1.gin/G/dense/MatMul (defined at /home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/framework/ops.py:1748) ]] [[arch1.gin/add_2/_25]] 0 successful operations. 0 derived errors ignored.

Original stack trace for 'arch1.gin/G/dense/MatMul': File "train.py", line 132, in main() File "train.py", line 125, in main pg.train(data, epochs, batch_size, summary_steps_number=100, use_tqdm=True) File "/home/qss/python_project/PLR/PasswordGAN/vanilla.py", line 69, in train gen_train_op, disc_train_op = self.model_function(TRAIN, self.hparams, constants_tf, data_tf) File "/home/qss/python_project/PLR/PasswordGAN/FAIL/rawModel.py", line 119, in modelfunction y = self.build_model(mode, params, constants=constants, kargs) File "/home/qss/python_project/PLR/PasswordGAN/vanilla.py", line 151, in build_model G = G_maker(z, x_size, dict_size, is_training=is_training) File "/home/qss/python_project/PLR/PasswordGAN/architectures.py", line 98, in G1 x = tf.layers.dense(x, layer_dim seq_len) File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/util/deprecation.py", line 324, in new_func return func(args, kwargs) File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/layers/core.py", line 187, in dense return layer.apply(inputs) File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/util/deprecation.py", line 324, in new_func return func(*args, *kwargs) File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/base_layer.py", line 1700, in apply return self.call(inputs, args, kwargs) File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/layers/base.py", line 548, in call outputs = super(Layer, self).call(inputs, *args, kwargs) File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/base_layer.py", line 854, in call outputs = call_fn(cast_inputs, *args, *kwargs) File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/autograph/impl/api.py", line 234, in wrapper return converted_call(f, options, args, kwargs) File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/autograph/impl/api.py", line 439, in converted_call return _call_unconverted(f, args, kwargs, options) File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/autograph/impl/api.py", line 330, in _call_unconverted return f(args, kwargs) File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/keras/layers/core.py", line 1050, in call outputs = gen_math_ops.mat_mul(inputs, self.kernel) File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/ops/gen_math_ops.py", line 6136, in mat_mul name=name) File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/framework/op_def_library.py", line 794, in _apply_op_helper op_def=op_def) File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/util/deprecation.py", line 507, in new_func return func(*args, **kwargs) File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/framework/ops.py", line 3357, in create_op attrs, op_def, compute_device) File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/framework/ops.py", line 3426, in _create_op_internal op_def=op_def) File "/home/qss/miniconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/framework/ops.py", line 1748, in init self._traceback = tf_stack.extract_stack()