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`Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 1172, in concat_v2
tld.op_callbacks, values, axis)
tensorflow.python.eager.core._FallbackException: This function does not handle the case of the path where all inputs are not already EagerTensors.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/workspace/src/demo_tn.py", line 298, in
train(Strategy)
File "/workspace/src/demo_tn.py", line 255, in train
score = model.predict(features)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py", line 88, in _method_wrapper
return method(self, *args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py", line 1285, in predict
all_outputs = nest.map_structure_up_to(batch_outputs, concat, outputs)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/nest.py", line 1118, in map_structure_up_to
**kwargs)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/nest.py", line 1214, in map_structure_with_tuple_paths_up_to
*flat_value_lists)]
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/nest.py", line 1213, in
results = [func(*args, **kwargs) for args in zip(flat_path_list,
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/nest.py", line 1116, in
lambda _, *values: func(*values), # Discards the path arg.
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py", line 1740, in concat
return array_ops.concat(tensors, axis=axis)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/dispatch.py", line 180, in wrapper
return target(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/array_ops.py", line 1606, in concat
return gen_array_ops.concat_v2(values=values, axis=axis, name=name)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 1177, in concat_v2
values, axis, name=name, ctx=_ctx)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 1209, in concat_v2_eager_fallback
_attr_T, values = _execute.args_to_matching_eager(list(values), ctx)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/eager/execute.py", line 263, in args_to_matching_eager
t, dtype, preferred_dtype=default_dtype, ctx=ctx))
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 1341, in convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/constant_op.py", line 321, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/constant_op.py", line 262, in constant
allow_broadcast=True)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/constant_op.py", line 270, in _constant_impl
t = convert_to_eager_tensor(value, ctx, dtype)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/constant_op.py", line 96, in convert_to_eager_tensor
return ops.EagerTensor(value, ctx.device_name, dtype)
ValueError: Attempt to convert a value (None) with an unsupported type (<class 'NoneType'>) to a Tensor.`
你好,我在运行example文件夹中的demo时,对同样的数据,使用model.fit训练与model.evaluate评估均无异常,但使用model.predict进行预测将会报如下的错:
`Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 1172, in concat_v2
tld.op_callbacks, values, axis)
tensorflow.python.eager.core._FallbackException: This function does not handle the case of the path where all inputs are not already EagerTensors.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/workspace/src/demo_tn.py", line 298, in
train(Strategy)
File "/workspace/src/demo_tn.py", line 255, in train
score = model.predict(features)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py", line 88, in _method_wrapper
return method(self, *args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py", line 1285, in predict
all_outputs = nest.map_structure_up_to(batch_outputs, concat, outputs)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/nest.py", line 1118, in map_structure_up_to
**kwargs)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/nest.py", line 1214, in map_structure_with_tuple_paths_up_to
*flat_value_lists)]
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/nest.py", line 1213, in
results = [func(*args, **kwargs) for args in zip(flat_path_list,
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/nest.py", line 1116, in
lambda _, *values: func(*values), # Discards the path arg.
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py", line 1740, in concat
return array_ops.concat(tensors, axis=axis)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/dispatch.py", line 180, in wrapper
return target(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/array_ops.py", line 1606, in concat
return gen_array_ops.concat_v2(values=values, axis=axis, name=name)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 1177, in concat_v2
values, axis, name=name, ctx=_ctx)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 1209, in concat_v2_eager_fallback
_attr_T, values = _execute.args_to_matching_eager(list(values), ctx)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/eager/execute.py", line 263, in args_to_matching_eager
t, dtype, preferred_dtype=default_dtype, ctx=ctx))
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 1341, in convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/constant_op.py", line 321, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/constant_op.py", line 262, in constant
allow_broadcast=True)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/constant_op.py", line 270, in _constant_impl
t = convert_to_eager_tensor(value, ctx, dtype)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/constant_op.py", line 96, in convert_to_eager_tensor
return ops.EagerTensor(value, ctx.device_name, dtype)
ValueError: Attempt to convert a value (None) with an unsupported type (<class 'NoneType'>) to a Tensor.`
我在docker中运行的程序,tf版本为2.2/2.3时均会出现此错误,将模型改为tf版本,其他不变也不会报错,我对example中代码未作出修改,只修改了config中的预测日期:
PREDICT_DT = '2020-05-12'
然后对main.py 81行处的代码进行修改,增加batch_size参数
dataset = read_dataset(C.DATA_DIR, [C.PREDICT_DT], C.FILE_MATCH_PATTERN, C.BATCH_SIZE, parse_line_batch)
请问这里报错是哪里有问题呢?
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