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liyaguang / DCRNN

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
MIT License
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Input 'b' of 'SparseTensorDenseMatMul' Op has type float32 that does not match type float64 of argument 'a_values'. #69

Closed xpf2333 closed 2 years ago

xpf2333 commented 3 years ago

Hi, when I use my data and adj_mx, this error happend, but i dont know what and where are the b and a_value. Thank you!

xpf2333 commented 3 years ago

TypeError: in converted code: relative to C:\Users\Administrator:

anaconda3\envs\tensorflow1.15\lib\site-packages\tensorflow_core\python\ops\rnn_cell_impl.py:1312 call
    cur_inp, new_state = cell(cur_inp, cur_state)
Desktop\许鹏飞的文件夹\DCRNN-master\model\dcrnn_cell.py:94 __call__
    value = tf.nn.sigmoid(fn(inputs, state, output_size, bias_start=1.0))
Desktop\许鹏飞的文件夹\DCRNN-master\model\dcrnn_cell.py:162 _gconv
    x1 = tf.sparse_tensor_dense_matmul(support, x0)
anaconda3\envs\tensorflow1.15\lib\site-packages\tensorflow_core\python\ops\sparse_ops.py:2405 sparse_tensor_dense_matmul
    adjoint_b=adjoint_b)
anaconda3\envs\tensorflow1.15\lib\site-packages\tensorflow_core\python\ops\gen_sparse_ops.py:3063 sparse_tensor_dense_mat_mul
    adjoint_b=adjoint_b, name=name)
anaconda3\envs\tensorflow1.15\lib\site-packages\tensorflow_core\python\framework\op_def_library.py:564 _apply_op_helper
    inferred_from[input_arg.type_attr]))

TypeError: Input 'b' of 'SparseTensorDenseMatMul' Op has type float32 that does not match type float64 of argument 'a_values'.
liyaguang commented 2 years ago

The a_value and b refers to the arguments in tf.sparse_tensor_dense_matmul(support, x0). It seems that one of the is float32, while another is float64. You may try to cast one of the to float32 with tf.cast: https://www.tensorflow.org/api_docs/python/tf/cast