hi there
I am trying to start learning this code, however after i download and install everything I try to run your example code but I am getting this error, could you please point me out my mistake?
INFO:lib.nn_model.model:Initializing NN model with the following params: INFO:lib.nn_model.model:Input dimension: 256 (token vector size) INFO:lib.nn_model.model:Hidden dimension: 512 INFO:lib.nn_model.model:Output dimension: 20001 (token dict size) INFO:lib.nn_model.model:Input seq length: 16 INFO:lib.nn_model.model:Output seq length: 6 INFO:lib.nn_model.model:Batch size: 32 Traceback (most recent call last): File "bin/train.py", line 36, in <module> learn() File "bin/train.py", line 29, in learn nn_model = get_nn_model(token_dict_size=len(index_to_token)) File "/Users/xiao/WorkSpace/Dev/3rd/debug_seq2seq/lib/nn_model/model.py", line 29, in get_nn_model depth=1 File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/seq2seq/models.py", line 81, in SimpleSeq2Seq output = decoder(x) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/recurrentshop-1.0.0-py3.6.egg/recurrentshop/engine.py", line 452, in __call__ File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/recurrentshop-1.0.0-py3.6.egg/recurrentshop/engine.py", line 917, in num_states File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/recurrentshop-1.0.0-py3.6.egg/recurrentshop/engine.py", line 128, in num_states File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/recurrentshop-1.0.0-py3.6.egg/recurrentshop/cells.py", line 171, in build_model File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/keras/engine/base_layer.py", line 431, in __call__ self.build(unpack_singleton(input_shapes)) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/keras/layers/core.py", line 861, in build constraint=self.kernel_constraint) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/keras/legacy/interfaces.py", line 91, in wrapper return func(*args, **kwargs) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/keras/engine/base_layer.py", line 252, in add_weight constraint=constraint) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 400, in variable v = tf.Variable(value, dtype=tf.as_dtype(dtype), name=name) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 235, in __init__ constraint=constraint) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 355, in _init_from_args initial_value, name="initial_value", dtype=dtype) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1014, in convert_to_tensor as_ref=False) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1104, in internal_convert_to_tensor ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/tensorflow/python/framework/constant_op.py", line 235, in _constant_tensor_conversion_function return constant(v, dtype=dtype, name=name) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/tensorflow/python/framework/constant_op.py", line 214, in constant value, dtype=dtype, shape=shape, verify_shape=verify_shape)) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/tensorflow/python/framework/tensor_util.py", line 496, in make_tensor_proto "Cannot create a tensor proto whose content is larger than 2GB.") ValueError: Cannot create a tensor proto whose content is larger than 2GB.
davendw49
commented
5 years ago
hi there I am trying to start learning this code, however after i download and install everything I try to run your example code but I am getting this error, could you please point me out my mistake?
INFO:lib.nn_model.model:Initializing NN model with the following params: INFO:lib.nn_model.model:Input dimension: 256 (token vector size) INFO:lib.nn_model.model:Hidden dimension: 512 INFO:lib.nn_model.model:Output dimension: 20001 (token dict size) INFO:lib.nn_model.model:Input seq length: 16 INFO:lib.nn_model.model:Output seq length: 6 INFO:lib.nn_model.model:Batch size: 32 Traceback (most recent call last): File "bin/train.py", line 36, in <module> learn() File "bin/train.py", line 29, in learn nn_model = get_nn_model(token_dict_size=len(index_to_token)) File "/Users/xiao/WorkSpace/Dev/3rd/debug_seq2seq/lib/nn_model/model.py", line 29, in get_nn_model depth=1 File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/seq2seq/models.py", line 81, in SimpleSeq2Seq output = decoder(x) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/recurrentshop-1.0.0-py3.6.egg/recurrentshop/engine.py", line 452, in __call__ File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/recurrentshop-1.0.0-py3.6.egg/recurrentshop/engine.py", line 917, in num_states File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/recurrentshop-1.0.0-py3.6.egg/recurrentshop/engine.py", line 128, in num_states File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/recurrentshop-1.0.0-py3.6.egg/recurrentshop/cells.py", line 171, in build_model File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/keras/engine/base_layer.py", line 431, in __call__ self.build(unpack_singleton(input_shapes)) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/keras/layers/core.py", line 861, in build constraint=self.kernel_constraint) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/keras/legacy/interfaces.py", line 91, in wrapper return func(*args, **kwargs) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/keras/engine/base_layer.py", line 252, in add_weight constraint=constraint) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 400, in variable v = tf.Variable(value, dtype=tf.as_dtype(dtype), name=name) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 235, in __init__ constraint=constraint) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 355, in _init_from_args initial_value, name="initial_value", dtype=dtype) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1014, in convert_to_tensor as_ref=False) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1104, in internal_convert_to_tensor ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/tensorflow/python/framework/constant_op.py", line 235, in _constant_tensor_conversion_function return constant(v, dtype=dtype, name=name) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/tensorflow/python/framework/constant_op.py", line 214, in constant value, dtype=dtype, shape=shape, verify_shape=verify_shape)) File "/Users/xiao/anaconda3/envs/dl/lib/python3.6/site-packages/tensorflow/python/framework/tensor_util.py", line 496, in make_tensor_proto "Cannot create a tensor proto whose content is larger than 2GB.") ValueError: Cannot create a tensor proto whose content is larger than 2GB.