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since the 1.0 upgrade cargo test now spits out the following on my MBP:
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.
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.
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.
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.
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.
I guess we could be more intelligent when compiling tensorflow to try and take advantage of it automatically?
The text was updated successfully, but these errors were encountered:
* Optimize page reading by not create array from bytes owner
* - fixes misaligned data from dictionary-encoded columns with null values (tensorflow#57)
- added test and test data file
Co-authored-by: Chirag Gupta (AZURE) <[email protected]>
Co-authored-by: Carlos Orrego <[email protected]>
Hi,
since the 1.0 upgrade
cargo test
now spits out the following on my MBP:I guess we could be more intelligent when compiling tensorflow to try and take advantage of it automatically?
The text was updated successfully, but these errors were encountered: