Improve SDFG work-depth analysis and add SDFG simulated operational intensity analysis #1495
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…ons can be passed
This reverts commit eb5a6f4.
phschaad
requested changes
Jan 16, 2024
| from dace.data import Array | ||
| import sympy as sp | ||
| from collections import deque | ||
| from scipy.optimize import curve_fit |
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We should wrap this in case the package is not installed. Scipy is not a dependency of DaCe, and is only used for something optional here, so we should check if it's present and if not print a warning that states that this analysis requires scipy to work.
| from collections import deque | ||
| from scipy.optimize import curve_fit | ||
| import numpy as np | ||
| import matplotlib.pyplot as plt |
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Same with matplotlib and the plotting of analysis results.
| try: | ||
| update_mapping(mapping, e) | ||
| except: | ||
| print('\nWARNING: Strange assignment detected on InterstateEdge (e.g. bitwise operators).' |
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Suggested change
| print('\nWARNING: Strange assignment detected on InterstateEdge (e.g. bitwise operators).' | |
| print('\nWARNING: Uncommon assignment detected on InterstateEdge (e.g. bitwise operators).' |
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This PR improves SDFG performance evaluation by
These analyses can also be used from the DaCe VS Code extension as implemented by these two other PRs: