In particular, AVX introduces fused multiply-accumulate (FMA) operations, which speed up linear algebra computation, namely dot-product, matrix multiply, convolution, etc. New instructions and a new coding scheme. Intel in March 2008 and first supported by Intel with the Sandyīridge processor shipping in Q1 2011 and later on by AMD with theīulldozer processor shipping in Q3 2011. Set architecture for microprocessors from Intel and AMD proposed by From the Wikipedia:Īdvanced Vector Extensions ( AVX) are extensions to the x86 instruction Modern CPUs provide a lot of low-level instructions, besides the usual arithmetic and logic, known as extensions, e.g. It ran as it should and output Hello, TensorFlow!, which indicates that the installation was successful indeed but there is something else that is wrong.ĭo you know what the problem is and how to fix it? 01:56:21.698935: I C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\36\tensorflow\core\platform\cpu_feature_:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2 Hello = tf.constant('Hello, TensorFlow!') Then when I tried to run import tensorflow as tf Successfully installed tensorflow-1.4.0 tensorflow-tensorboard-0.4.0rc2 I have recently installed tensorflow (Windows CPU version) and received the following message:
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |