It seems impossible to generate with scalar_input on?

[carykh]

The two options for inputs are scalar and one-hot, with one-hot being the default, right?

If I set the parameters in wavenet_params.json to use scalar, the network trains just fine. But when I try to generate, it says "Incremental generation does not support scalar input yet." That seems fair enough. It looks like the easiest solution to this is to turn off "fast_generation", which will call the function predict_proba instead of predict_proba_incremental. However, when I do that, I get this error:

ValueError: Shape must be rank 4 but is rank 3 for 'wavenet_1/causal_layer/causal_conv/conv1d/Conv2D' (op: 'Conv2D') with input shapes: [?,1,1], [1,32,1,32].

This kinda makes sense to me, because a scalar has one fewer dimension than a one-hot vector, so I could understand why the resulting tensor's shape now has 3 dimensions instead of 4. However, when I tried reshaping the tensor to have 4 dimensions, I still couldn't get it to work. I don't think I understand TensorFlow or this code closely enough to fix this problem. Help!

[carykh]

Maybe it's helpful if I include the stack output?

Restoring model from /media/rob/Ma Book/WAVENET_DUMP/DUMP8/model.ckpt-600
Traceback (most recent call last):
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1327, in _do_call
    return fn(*args)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1306, in _run_fn
    status, run_metadata)
  File "/usr/lib/python3.5/contextlib.py", line 66, in __exit__
    next(self.gen)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/errors_impl.py", line 466, in raise_exception_on_not_ok_status
    pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: Expected begin[1] in [0, 1275], but got 2580
	 [[Node: wavenet_1/dilated_stack/layer0/Slice = Slice[Index=DT_INT32, T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"](wavenet_1/dilated_stack/layer0/mul, wavenet_1/dilated_stack/layer0/Slice/begin, wavenet_1/dilated_stack/layer0/Slice/size)]]
	 [[Node: wavenet_1/Reshape_3/_653 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_15056_wavenet_1/Reshape_3", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "generate.py", line 287, in <module>
    main()
  File "generate.py", line 226, in main
    prediction = sess.run(outputs, feed_dict={samples: window})[0]
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 895, in run
    run_metadata_ptr)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1124, in _run
    feed_dict_tensor, options, run_metadata)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1321, in _do_run
    options, run_metadata)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1340, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Expected begin[1] in [0, 1275], but got 2580
	 [[Node: wavenet_1/dilated_stack/layer0/Slice = Slice[Index=DT_INT32, T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"](wavenet_1/dilated_stack/layer0/mul, wavenet_1/dilated_stack/layer0/Slice/begin, wavenet_1/dilated_stack/layer0/Slice/size)]]
	 [[Node: wavenet_1/Reshape_3/_653 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_15056_wavenet_1/Reshape_3", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]

Caused by op 'wavenet_1/dilated_stack/layer0/Slice', defined at:
  File "generate.py", line 287, in <module>
    main()
  File "generate.py", line 164, in main
    next_sample = net.predict_proba(samples, args.gc_id)
  File "/home/rob/Documents/Python/tensorflow-ARSS-wavenet-master/wavenet/model.py", line 591, in predict_proba
    raw_output = self._create_network(encoded, gc_embedding)
  File "/home/rob/Documents/Python/tensorflow-ARSS-wavenet-master/wavenet/model.py", line 419, in _create_network
    global_condition_batch, output_width)
  File "/home/rob/Documents/Python/tensorflow-ARSS-wavenet-master/wavenet/model.py", line 310, in _create_dilation_layer
    out_skip = tf.slice(out, [0, skip_cut, 0], [-1, -1, -1])
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/array_ops.py", line 561, in slice
    return gen_array_ops._slice(input_, begin, size, name=name)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 3125, in _slice
    name=name)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
    op_def=op_def)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 2630, in create_op
    original_op=self._default_original_op, op_def=op_def)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 1204, in __init__
    self._traceback = self._graph._extract_stack()  # pylint: disable=protected-access

InvalidArgumentError (see above for traceback): Expected begin[1] in [0, 1275], but got 2580
	 [[Node: wavenet_1/dilated_stack/layer0/Slice = Slice[Index=DT_INT32, T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"](wavenet_1/dilated_stack/layer0/mul, wavenet_1/dilated_stack/layer0/Slice/begin, wavenet_1/dilated_stack/layer0/Slice/size)]]
	 [[Node: wavenet_1/Reshape_3/_653 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_15056_wavenet_1/Reshape_3", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]

[nsfinkelstein]

I ran into the same problem. I've submitted a PR for a fix here: #292