Error in mnist_1.0_softmax.py with tensorflow 1.0 about tensorflow-mnist-tutorial HOT 8 CLOSED

I migrated the code to TF 1.0 and submitted a pull request.

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Thanks Guillaume and quarkw. I know about this an I plan to fix it next week. Your pull req. will help.

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Same issue -- thanks for the workaround.

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Thanks for the workaround! @martin-gorner may I suggest updating the readme to reflect this requirement until your fix is pushed?

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Hi, I'm having problem when using python3 mnist_1.0_softmax.py in Windows. It return errors as below
'python3' is not recognized as an internal or external command,
operable program or batch file. Any advice for this?

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Yes. I having the same wrong here.And also put a question on stack overflow😂

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Please follows the Windows installation instructions in the INSTALL.txt file. In short, install Anaconda, it comes with a command line whre you can issue Python commands (maybe in the Anaconda install, "python3" is just "python"). In any case, you type this in the Anaconda command line window, not the Windows command line.

Closing this issue because it is about TF1.0 compatibility, not windows compatibility.

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I work with Windows 7/64, Phyton 3.6.0 Anaconda 4.3.0 (64bit), TF1.0.
I cloned the updated example and run the mnist_1.0_softmax.py (after commit +init = tf.global_variables_initializer()).
Te same error as above: TypeError: Expected int32, got list containing Tensors of type '_Message' instead.

Here is lising:
C:\ProgramData\Anaconda3\Scripts\tensorflow-mnist-tutorial>python mnist_1.0_softmax.py
I d:\build\tensorflow\tensorflow_gpu-r0.12\tensorflow\stream_executor\dso_loader.cc:128] successfully opened CUDA librar
y cublas64_80.dll locally
I d:\build\tensorflow\tensorflow_gpu-r0.12\tensorflow\stream_executor\dso_loader.cc:128] successfully opened CUDA librar
y cudnn64_5.dll locally
I d:\build\tensorflow\tensorflow_gpu-r0.12\tensorflow\stream_executor\dso_loader.cc:128] successfully opened CUDA librar
y cufft64_80.dll locally
I d:\build\tensorflow\tensorflow_gpu-r0.12\tensorflow\stream_executor\dso_loader.cc:128] successfully opened CUDA librar
y nvcuda.dll locally
I d:\build\tensorflow\tensorflow_gpu-r0.12\tensorflow\stream_executor\dso_loader.cc:128] successfully opened CUDA librar
y curand64_80.dll locally
Successfully downloaded train-images-idx3-ubyte.gz 9912422 bytes.
Extracting data\train-images-idx3-ubyte.gz
Successfully downloaded train-labels-idx1-ubyte.gz 28881 bytes.
Extracting data\train-labels-idx1-ubyte.gz
Successfully downloaded t10k-images-idx3-ubyte.gz 1648877 bytes.
Extracting data\t10k-images-idx3-ubyte.gz
Successfully downloaded t10k-labels-idx1-ubyte.gz 4542 bytes.
Extracting data\t10k-labels-idx1-ubyte.gz
Traceback (most recent call last):
File "mnist_1.0_softmax.py", line 78, in
I = tensorflowvisu.tf_format_mnist_images(X, Y, Y_) # assembles 10x10 images by default
File "C:\ProgramData\Anaconda3\Scripts\tensorflow-mnist-tutorial\tensorflowvisu.py", line 42, in tf_format_mnist_image
s
everything_incorrect_first = tf.concat([incorrectly_recognised_indices, correctly_recognised_indices], 0) # images r
eordered with indeces of unrecognised images first
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\ops\array_ops.py", line 1075, in concat
dtype=dtypes.int32).get_shape(
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 669, in convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\constant_op.py", line 176, in _constant_t
ensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\constant_op.py", line 165, in constant
tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape, verify_shape=verify_shape))
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\tensor_util.py", line 367, in make_tensor
_proto
_AssertCompatible(values, dtype)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\tensor_util.py", line 302, in _AssertComp
atible
(dtype.name, repr(mismatch), type(mismatch).name))
TypeError: Expected int32, got list containing Tensors of type '_Message' instead.

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