python : clearer main algorithm progression && revamp final test display
This commit is contained in:
saundersp
115
python/common.py
115
python/common.py
@ -2,9 +2,9 @@ from toolbox import picke_multi_loader, format_time_ns, unit_test_argsort_2d
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from typing import List, Tuple
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from time import perf_counter_ns
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import numpy as np
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from config import OUT_DIR, DATA_DIR
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from config import OUT_DIR, DATA_DIR, __DEBUG
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def unit_test(TS: List[int], labels: List[str] = ["CPU", "GPU"], tol: float = 1e-8) -> None:
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def unit_test(TS: List[int], labels: List[str] = ["CPU", "GPU", "PY", "PGPU"], tol: float = 1e-8) -> None:
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"""Test if the each result is equals to other devices.
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Given ViolaJones is a deterministic algorithm, the results no matter the device should be the same
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@ -12,83 +12,78 @@ def unit_test(TS: List[int], labels: List[str] = ["CPU", "GPU"], tol: float = 1e
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Args:
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TS (List[int]): Number of trained weak classifiers.
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labels (List[str], optional): List of the trained device names. Defaults to ["CPU", "GPU"].
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labels (List[str], optional): List of the trained device names. Defaults to ["CPU", "GPU", "PY", "PGPU"] (see config.py for more info).
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tol (float, optional): Float difference tolerance. Defaults to 1e-8.
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"""
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if len(labels) < 2:
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return print("Not enough devices to test")
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fnc_s = perf_counter_ns()
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n_total= 0
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n_success = 0
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print(f"\n| {'Unit testing':<37} | {'Test state':<10} | {'Time spent (ns)':<18} | {'Formatted time spent':<29} |")
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print(f"|{'-'*39}|{'-'*12}|{'-'*20}|{'-'*31}|")
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for filename in ["X_train_feat", "X_test_feat", "X_train_ii", "X_test_ii"]:
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print(f"{filename}...", end = "\r")
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bs = picke_multi_loader([f"{filename}_{label}" for label in labels], OUT_DIR)
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fnc_s = perf_counter_ns()
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n_total = 0
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n_success = 0
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for i, (b1, l1) in enumerate(zip(bs, labels)):
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if b1 is None:
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#print(f"| {filename:<22} - {l1:<4} | {'Skipped':>10} | {'None':>18} | {'None':<29} |")
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continue
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for j, (b2, l2) in enumerate(zip(bs, labels)):
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if i >= j:
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continue
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if b2 is None:
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#print(f"| {filename:<22} - {l1:<4} vs {l2:<4} | {'Skipped':>10} | {'None':>18} | {'None':<29} |")
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continue
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n_total += 1
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s = perf_counter_ns()
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state = np.abs(b1 - b2).mean() < tol
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e = perf_counter_ns() - s
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if state:
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print(f"| {filename:<22} - {l1:<4} vs {l2:<4} | {'Passed':>10} | {e:>18,} | {format_time_ns(e):<29} |")
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n_success += 1
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else:
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print(f"| {filename:<22} - {l1:<4} vs {l2:<4} | {'Failed':>10} | {e:>18,} | {format_time_ns(e):<29} |")
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def test_fnc(title, fnc):
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nonlocal n_total, n_success
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n_total += 1
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s = perf_counter_ns()
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state = fnc()
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e = perf_counter_ns() - s
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if state:
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print(f"| {title:<37} | {'Passed':>10} | {e:>18,} | {format_time_ns(e):<29} |")
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n_success += 1
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else:
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print(f"| {title:<37} | {'Failed':>10} | {e:>18,} | {format_time_ns(e):<29} |")
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for filename, featname in zip(["X_train_feat_argsort", "X_test_feat_argsort"], ["X_train_feat", "X_test_feat"]):
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print(f"Loading {filename}...", end = "\r")
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for set_name in ["train", "test"]:
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for filename in ["ii", "feat"]:
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title = f"X_{set_name}_{filename}"
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print(f"{filename}...", end = "\r")
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bs = picke_multi_loader([f"{title}_{label}" for label in labels], OUT_DIR)
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for i, (b1, l1) in enumerate(zip(bs, labels)):
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if b1 is None:
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if __DEBUG:
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print(f"| {title:<22} - {l1:<12} | {'Skipped':>10} | {'None':>18} | {'None':<29} |")
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continue
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for j, (b2, l2) in enumerate(zip(bs, labels)):
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if i >= j:
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continue
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if b2 is None:
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if __DEBUG:
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print(f"| {title:<22} - {l1:<4} vs {l2:<4} | {'Skipped':>10} | {'None':>18} | {'None':<29} |")
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continue
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test_fnc(f"{title:<22} - {l1:<4} vs {l2:<4}", lambda: np.abs(b1 - b2).mean() < tol)
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title = f"X_{set_name}_feat_argsort"
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print(f"Loading {title}...", end = "\r")
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feat = None
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bs = []
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for label in labels:
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if feat is None:
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feat_tmp = picke_multi_loader([f"{featname}_{label}"], OUT_DIR)[0]
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feat_tmp = picke_multi_loader([f"X_{set_name}_feat_{label}"], OUT_DIR)[0]
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if feat_tmp is not None:
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feat = feat_tmp
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bs.append(picke_multi_loader([f"{filename}_{label}"], OUT_DIR)[0])
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bs.append(picke_multi_loader([f"{title}_{label}"], OUT_DIR)[0])
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for i, (b1, l1) in enumerate(zip(bs, labels)):
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if b1 is None:
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#print(f"| {filename:<22} - {l1:<4} | {'Skipped':>10} | {'None':>18} | {'None':<29} |")
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if __DEBUG:
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print(f"| {title:<22} - {l1:<12} | {'Skipped':>10} | {'None':>18} | {'None':<29} |")
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continue
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if feat is not None:
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n_total += 1
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s = perf_counter_ns()
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state = unit_test_argsort_2d(feat, b1)
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e = perf_counter_ns() - s
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if state:
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print(f"| {filename:<22} - {l1:<4} argsort | {'Passed':>10} | {e:>18,} | {format_time_ns(e):<29} |")
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n_success += 1
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else:
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print(f"| {filename:<22} - {l1:<4} argsort | {'Failed':>10} | {e:>18,} | {format_time_ns(e):<29} |")
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test_fnc(f"{title:<22} - {l1:<4} argsort", lambda: unit_test_argsort_2d(feat, b1))
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for j, (b2, l2) in enumerate(zip(bs, labels)):
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if i >= j:
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continue
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if b2 is None:
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#print(f"| {filename:<22} - {l1:<4} vs {l2:<4} | {'Skipped':>10} | {'None':>18} | {'None':<29} |")
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if __DEBUG:
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print(f"| {title:<22} - {l1:<4} vs {l2:<4} | {'Skipped':>10} | {'None':>18} | {'None':<29} |")
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continue
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n_total += 1
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s = perf_counter_ns()
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state = np.abs(b1 - b2).mean() < tol
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e = perf_counter_ns() - s
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if state:
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print(f"| {filename:<22} - {l1:<4} vs {l2:<4} | {'Passed':>10} | {e:>18,} | {format_time_ns(e):<29} |")
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n_success += 1
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else:
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print(f"| {filename:<22} - {l1:<4} vs {l2:<4} | {'Failed':>10} | {e:>18,} | {format_time_ns(e):<29} |")
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test_fnc(f"{title:<22} - {l1:<4} vs {l2:<4}", lambda: np.abs(b1 - b2).mean() < tol)
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for T in TS:
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for filename in ["alphas", "final_classifiers"]:
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@ -97,23 +92,17 @@ def unit_test(TS: List[int], labels: List[str] = ["CPU", "GPU"], tol: float = 1e
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for i, (b1, l1) in enumerate(zip(bs, labels)):
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if b1 is None:
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#print(f"| {filename + '_' + str(T):<22} - {l1:<4} | {'Skipped':>10} | {'None':>18} | {'None':<29} |")
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if __DEBUG:
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print(f"| {filename + '_' + str(T):<22} - {l1:<12} | {'Skipped':>10} | {'None':>18} | {'None':<29} |")
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continue
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for j, (b2, l2) in enumerate(zip(bs, labels)):
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if i >= j:
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continue
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if b2 is None:
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#print(f"| {filename + '_' + str(T):<22} - {l1:<4} vs {l2:<4} | {'Skipped':>10} | {'None':>18} | {'None':<29} |")
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if __DEBUG:
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print(f"| {filename + '_' + str(T):<22} - {l1:<4} vs {l2:<4} | {'Skipped':>10} | {'None':>18} | {'None':<29} |")
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continue
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n_total += 1
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s = perf_counter_ns()
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state = np.abs(b1 - b2).mean() < tol
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e = perf_counter_ns() - s
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if state:
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print(f"| {filename + '_' + str(T):<22} - {l1:<4} vs {l2:<4} | {'Passed':>10} | {e:>18,} | {format_time_ns(e):<29} |")
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n_success += 1
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else:
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print(f"| {filename + '_' + str(T):<22} - {l1:<4} vs {l2:<4} | {'Failed':>10} | {e:>18,} | {format_time_ns(e):<29} |")
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test_fnc(f"{filename + '_' + str(T):<22} - {l1:<4} vs {l2:<4}", lambda: np.abs(b1 - b2).mean() < tol)
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print(f"|{'-'*39}|{'-'*12}|{'-'*20}|{'-'*31}|")
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e = perf_counter_ns() - fnc_s
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