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我正在運行mnist_with_summary教程來了解TensorBoard的工作原理。它立即拋出一個TypeError。tensorflow教程mnist_with_summary引發TypeError
Extracting /tmp/data/train-images-idx3-ubyte.gz
Extracting /tmp/data/train-labels-idx1-ubyte.gz
Extracting /tmp/data/t10k-images-idx3-ubyte.gz
Extracting /tmp/data/t10k-labels-idx1-ubyte.gz
Traceback (most recent call last):
File "/Users/bruceho/workspace/TestTensorflow/mysrc/examples/tutorials/mnist/mnist_with_summaries.py", line 166, in <module>
tf.app.run()
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/tensorflow/python/platform/app.py", line 30, in run
sys.exit(main(sys.argv[:1] + flags_passthrough))
File "/Users/bruceho/workspace/TestTensorflow/mysrc/examples/tutorials/mnist/mnist_with_summaries.py", line 163, in main
train()
File "/Users/bruceho/workspace/TestTensorflow/mysrc/examples/tutorials/mnist/mnist_with_summaries.py", line 110, in train
y = nn_layer(dropped, 500, 10, 'layer2', act=tf.nn.softmax)
File "/Users/bruceho/workspace/TestTensorflow/mysrc/examples/tutorials/mnist/mnist_with_summaries.py", line 104, in nn_layer
activations = act(preactivate, 'activation')
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/tensorflow/python/ops/nn_ops.py", line 582, in softmax
return _softmax(logits, gen_nn_ops._softmax, dim, name)
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/tensorflow/python/ops/nn_ops.py", line 542, in _softmax
logits = _swap_axis(logits, dim, math_ops.sub(input_rank, 1))
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/tensorflow/python/ops/nn_ops.py", line 518, in _swap_axis
0, [math_ops.range(dim_index), [last_index],
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/tensorflow/python/ops/math_ops.py", line 991, in range
return gen_math_ops._range(start, limit, delta, name=name)
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/tensorflow/python/ops/gen_math_ops.py", line 1675, in _range
delta=delta, name=name)
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/tensorflow/python/framework/op_def_library.py", line 490, in apply_op
preferred_dtype=default_dtype)
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/tensorflow/python/framework/ops.py", line 657, in convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/tensorflow/python/framework/constant_op.py", line 180, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/tensorflow/python/framework/constant_op.py", line 163, in constant
tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape))
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/tensorflow/python/framework/tensor_util.py", line 353, in make_tensor_proto
_AssertCompatible(values, dtype)
File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/tensorflow/python/framework/tensor_util.py", line 290, in _AssertCompatible
(dtype.name, repr(mismatch), type(mismatch).__name__))
TypeError: Expected int32, got 'activation' of type 'str' instead.
我試着從eclipse和命令行裏面運行同樣的結果。任何一個人遇到同樣的問題?
原始代碼是這樣的: – Tao
嘿,那修好了。所以它看起來像Tensorflow團隊檢查錯誤的代碼。這是不是特徵? – bhomass
有一些先例:)。但我不得不[回到'r0.10'分支](https://github.com/tensorflow/tensorflow/blob/r0.10/tensorflow/examples/tutorials/mnist/mnist_with_summaries.py#L103)到使用''activation''作爲非關鍵字參數找到該行代碼。是否有可能使用較新的安裝來運行該代碼?次要發行版本之間發生了重大變化,因此,從安裝的TensorFlow軟件包運行相同版本的示例代碼非常重要。 – mrry