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Johnson0722 / CTR_Prediction

CTR prediction using FM FFM and DeepFM
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InvalidArgumentError (see above for traceback): k (303) from index[19,1] out of bounds (>=303) #10

Open HJFS opened 5 years ago

HJFS commented 5 years ago

Hello @Johnson0722 , I meet this error when I run FM.py. I use the same dataset as you. Can you give me some help?

`Caused by op 'interaction_layer/SparseTensorDenseMatMul/SparseTensorDenseMatMul', defined at: File "FM.py", line 223, in model.build_graph() File "FM.py", line 94, in build_graph self.inference() File "FM.py", line 61, in inference tf.pow(tf.sparse_tensor_dense_matmul(self.X, v), 2), File "D:\Anaconda3\lib\site-packages\tensorflow\python\ops\sparse_ops.py", line 1822, in sparse_tensor_dense_matmul adjoint_b=adjoint_b) File "D:\Anaconda3\lib\site-packages\tensorflow\python\ops\gen_sparse_ops.py", line 3213, in sparse_tensor_dense_mat_mul name=name) File "D:\Anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper op_def=op_def) File "D:\Anaconda3\lib\site-packages\tensorflow\python\util\deprecation.py", line 454, in new_func return func(*args, **kwargs) File "D:\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 3155, in create_op op_def=op_def) File "D:\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1717, in init self._traceback = tf_stack.extract_stack()

InvalidArgumentError (see above for traceback): k (303) from index[19,1] out of bounds (>=303) [[Node: interaction_layer/SparseTensorDenseMatMul/SparseTensorDenseMatMul = SparseTensorDenseMatMul[T=DT_FLOAT, Tindices=DT_INT64, adjoint_a=false, adjoint_b=false, _device="/job:localhost/replica:0/task:0/devi ce:CPU:0"](_arg_Placeholder_2_0_2, _arg_Placeholder_1_0_1, _arg_Placeholder_0_0, interaction_layer/v/read)]] `

yaoxingnihao commented 5 years ago

I have the same problem, do you solve it ?

tsinglu commented 4 years ago

I have the same problem too, do you solve it?

tsinglu commented 4 years ago

@Johnson0722 what's the version of your tensorflow environment?