python - Parse multi-line log file with context changing ...

How To Calculate Mflops. How To Calculate Mflops Otherwise, it seems like you have four to five floating point instructions per iteration (including int to float conversion, once or twice, depending on the optimizer), so $4\cdot10^9$ or $5\cdot10^9$ in total. Divide this by 0.431635 to get your FLOPS, which will be around $10^{10}$, or 10 GFLOPS. QDP:FlopCount:(\S+) Total performance: ([\d.]+) Mflops = ([\d.]+) Gflops = ([\d.]+) Tflops I'd also like to have the number of iterations in the solver in the context of the update number. In the end, I want to analyze things like these per solver algorithm: Iterations vs. update number; Performance vs. update number; Performance vs. iterations; Performance vs. Number of nodes; The multiple ... Flops calculator Flops calculator A little bit late but maybe it helps some visitors in future. For your example I successfully tested the following snippet: g = tf.Graph() run_meta = tf.RunMetadata() with g.as_default(): A = tf.Variable(tf.random_normal( [25,16] )) B = tf.Variable(tf.random_normal( [16,9] )) C = tf.matmul(A,B) # shape=[25,9] opts = tf.profiler.ProfileOptionBuilder.float_operation() flops = tf.profiler.profile ...

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