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The TensorFlow library wasn't compiled to use SSE、AVX 、FMA? #112
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looks like a memory issue. |
@anishathalye thanks, maybe I should try tensorflow with gpu. |
This is not an error, just warnings. TF can run faster if you compile it from source. See details in this question. |
I think he's talking about the "killed" at the end, which is probably from the oom killer. I don't think the question is about the warnings. |
I see, thanks buddy |
I have the same issue @tss12 |
I get this error when using style images that are too large, try smaller or resizing. |
@maitreepasad hello,it may be your mashine memory is too small. |
@kthordarson and how much time does the code take to run? |
Yes I think
I ran it on Floyd hub.. ran successfully! Thanks
…On Wed, 18 Apr 2018 11:25 tss12, ***@***.***> wrote:
@maitreepasad <https://github.com/maitreepasad> hello,it may be your
mashine memory is too small.
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@maitreepasad congratulation,only with cpu? |
No with GPU
Image size approx 500*400
1000 iterations - 7 minutes
…On Wed, 18 Apr 2018 11:36 tss12, ***@***.***> wrote:
@maitreepasad <https://github.com/maitreepasad> congratulation,only with
cpu?
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2018-02-05 17:40:45.026070: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2018-02-05 17:40:45.026107: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2018-02-05 17:40:45.026115: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2018-02-05 17:40:45.026123: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2018-02-05 17:40:45.026130: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX512F instructions, but these are available on your machine and could speed up CPU computations.
2018-02-05 17:40:45.026137: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
killed
————————
when I run the code python neural_style.py --content 'examples/1-content.jpg' --styles 'examples/1-style.jpg' --output 'examples/my1.jpg' ,then give me some warring and killed,it is may be tensorflow`s trouble,but I do not should I do.
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