400Ping commented on PR #877:
URL: https://github.com/apache/mahout/pull/877#issuecomment-3773241275
Before:
```
======================================================================
NUMPY I/O + ENCODING BENCHMARK
======================================================================
Qubits: 10
Sample size: 1024 elements
Number of samples: 10000
Total data: 78.12 MB
Frameworks: mahout, pennylane
Generating test data...
Saving to /tmp/tmp0rf7j7p6.npy...
File size: 78.13 MB
[Mahout + NumPy] Loading and encoding...
Total Time (I/O + Encode): 0.0581 s
Throughput: 172165.2 samples/sec
Average per sample: 0.01 ms
[PennyLane + NumPy] Loading and encoding...
Total Time (I/O + Encode): 2.8481 s
Throughput: 3511.2 samples/sec
Average per sample: 0.28 ms
======================================================================
SUMMARY
======================================================================
Framework Time (s) Throughput Avg/Sample
----------------------------------------------------------------------
Mahout 0.0581 172165.2 0.01
PennyLane 2.8481 3511.2 0.28
----------------------------------------------------------------------
SPEEDUP COMPARISON
----------------------------------------------------------------------
Mahout vs PennyLane: 49.03x
Time reduction: 49.03x faster
Cleaned up temporary file: /tmp/tmp0rf7j7p6.npy
======================================================================
BENCHMARK COMPLETE
======================================================================
```
After:
```
======================================================================
NUMPY I/O + ENCODING BENCHMARK
======================================================================
Qubits: 10
Sample size: 1024 elements
Number of samples: 10000
Total data: 78.12 MB
Frameworks: mahout, pennylane
Generating test data...
Saving to /tmp/tmpq898jgel.npy...
File size: 78.13 MB
[Mahout + NumPy] Loading and encoding...
Total Time (I/O + Encode): 0.0574 s
Throughput: 174195.3 samples/sec
Average per sample: 0.01 ms
[PennyLane + NumPy] Loading and encoding...
Total Time (I/O + Encode): 2.8587 s
Throughput: 3498.1 samples/sec
Average per sample: 0.29 ms
======================================================================
SUMMARY
======================================================================
Framework Time (s) Throughput Avg/Sample
----------------------------------------------------------------------
Mahout 0.0574 174195.3 0.01
PennyLane 2.8587 3498.1 0.29
----------------------------------------------------------------------
SPEEDUP COMPARISON
----------------------------------------------------------------------
Mahout vs PennyLane: 49.80x
Time reduction: 49.80x faster
Cleaned up temporary file: /tmp/tmpq898jgel.npy
======================================================================
BENCHMARK COMPLETE
======================================================================
```
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