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timingtool: update timingTool

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hi meha!
This commit is contained in:
souldbminersmwc
2025-11-03 19:04:05 -05:00
parent dd34be4c38
commit c87a41830d
1 changed files with 90 additions and 11 deletions
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101
Source/TimingTool/src/main.py
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@@ -1,4 +1,3 @@
"""
HOC Timing Tool
@@ -77,7 +76,7 @@ def find_inflection_points(x, y):
return inflections
def fit_piecewise_segments(x, y):
def fit_piecewise_segments(x, y, reg_name="register"):
x = np.array(x, dtype=float)
y = np.array(y, dtype=float)
@@ -137,22 +136,65 @@ def fit_piecewise_segments(x, y):
y_fit = piecewise(x)
r2 = safe_r2(y, y_fit)
formula_lines = ["float timing(float x) {"]
for thresh, slp, intcpt in zip(thresholds, slopes, intercepts):
formula_lines = []
for i, (thresh, slp, intcpt) in enumerate(zip(thresholds, slopes, intercepts)):
if abs(slp) < 1e-6:
formula_lines.append(f" if (x <= {thresh:.1f}) return {intcpt:.2f};")
val_str = f"{intcpt:.0f}"
else:
formula_lines.append(f" if (x <= {thresh:.1f}) return {slp:.6f} * x + {intcpt:.2f};")
formula_lines.append("}")
formula = "\n".join(formula_lines)
slp_simple = round(slp, 4)
intcpt_simple = round(intcpt, 0)
if slp_simple == int(slp_simple):
slp_simple = int(slp_simple)
if intcpt_simple >= 0:
val_str = f"{slp_simple} * x + {intcpt_simple}"
else:
val_str = f"{slp_simple} * x - {abs(intcpt_simple)}"
if i == len(thresholds) - 1:
formula_lines.append(f" return {val_str};")
else:
formula_lines.append(f" if (x <= {thresh:.0f}) return {val_str};")
formula = "float timing(float x) {\n" + "\n".join(formula_lines) + "\n}"
advanced_lines = []
max_freq = max(x) if len(x) > 0 else 0
for i, (thresh, slp, intcpt) in enumerate(zip(thresholds, slopes, intercepts)):
if abs(slp) < 1e-6:
val = f"{intcpt:.0f}"
else:
slp_simple = round(slp, 4)
intcpt_simple = round(intcpt, 0)
if slp_simple == int(slp_simple):
slp_simple = int(slp_simple)
if intcpt_simple >= 0:
val = f"({slp_simple} * freq + {intcpt_simple})"
else:
val = f"({slp_simple} * freq - {abs(intcpt_simple)})"
if thresh >= max_freq - 1:
advanced_lines.append(f"WRITE_ALL_PARAM_REG(EMC_{reg_name}, {val});")
elif i == 0:
advanced_lines.append(f"if (freq <= {thresh:.0f}) {{")
advanced_lines.append(f" WRITE_ALL_PARAM_REG(EMC_{reg_name}, {val});")
advanced_lines.append("}")
else:
advanced_lines.append(f"else if (freq <= {thresh:.0f}) {{")
advanced_lines.append(f" WRITE_ALL_PARAM_REG(EMC_{reg_name}, {val});")
advanced_lines.append("}")
advanced_formula = "\n".join(advanced_lines)
return {
'fn': piecewise,
'formula': formula,
'advanced_formula': advanced_formula,
'r2': r2,
'thresholds': thresholds,
'slopes': slopes,
'intercepts': intercepts
'intercepts': intercepts,
'reg_name': reg_name
}
@@ -228,6 +270,10 @@ with dpg.window(label="HOC Timing Tool", width=1920, height=1080, tag="main_wind
with dpg.tab(label="Graphs", tag="graph_tab"):
with dpg.tab_bar(tag="main_tabs"):
dpg.add_tab(label="No Data", tag="placeholder_tab")
with dpg.tab(label="Code", tag="code_tab"):
with dpg.tab_bar(tag="code_tabs"):
dpg.add_tab(label="No Data", tag="code_placeholder_tab")
def handle_file_selection(sender, app_data):
@@ -248,6 +294,8 @@ def handle_file_selection(sender, app_data):
dpg.set_value("status_text", "No valid data found in ZIP.")
return
dpg.delete_item("code_tabs", children_only=True)
for base_latency, lat_data in sorted(data.items()):
with dpg.tab(label=f"{base_latency}bl", parent="main_tabs"):
with dpg.tab_bar():
@@ -270,7 +318,7 @@ def handle_file_selection(sender, app_data):
x = np.array(freqs, dtype=float)
y = np.array(vals, dtype=float)
fit_result = fit_piecewise_segments(x, y)
fit_result = fit_piecewise_segments(x, y, reg_name)
if fit_result is None:
continue
@@ -291,8 +339,13 @@ def handle_file_selection(sender, app_data):
fit_y = fit_result['fn'](fit_x)
dpg.add_line_series(fit_x, fit_y, label=f"Fit (R²={fit_result['r2']:.3f})", parent=y_axis)
dpg.add_text(fit_result['formula'], wrap=800)
dpg.add_text(f"R² = {fit_result['r2']:.4f}", color=(100, 200, 100))
with dpg.tab_bar():
with dpg.tab(label="Timing Function"):
dpg.add_input_text(default_value=fit_result['formula'], readonly=True, width=-1, height=150, multiline=True, tag=f"{container_tag}_formula")
with dpg.tab(label="Register Write"):
dpg.add_input_text(default_value=fit_result['advanced_formula'], readonly=True, width=-1, height=150, multiline=True, tag=f"{container_tag}_advanced")
def make_freq_callback(freq_map, val_tag):
def _callback(sender, app_data):
@@ -326,6 +379,32 @@ def handle_file_selection(sender, app_data):
dpg.set_item_callback(search_tag, make_filter_closure(scroll_area, search_tag))
for base_latency, lat_data in sorted(data.items()):
code_content = ""
with dpg.tab(label=f"{base_latency}bl", parent="code_tabs"):
with dpg.tab_bar():
for typ in ("mc", "emc"):
with dpg.tab(label=typ.upper()):
typ_code = ""
if lat_data[typ]:
for reg_name, freq_map in sorted(lat_data[typ].items()):
freqs = sorted(freq_map.keys())
vals = [freq_map[f] for f in freqs]
if len(freqs) < 2:
continue
x = np.array(freqs, dtype=float)
y = np.array(vals, dtype=float)
fit_result = fit_piecewise_segments(x, y, reg_name)
if fit_result:
typ_code += fit_result['advanced_formula'] + "\n\n"
if typ_code:
dpg.add_input_text(default_value=typ_code, readonly=True, width=-1, height=-1, multiline=True)
else:
dpg.add_text(f"No {typ.upper()} data.")
dpg.set_value("status_text", "Done.")