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-rw-r--r--python/dpd/Adapt.py4
-rwxr-xr-xpython/dpdce.py19
2 files changed, 12 insertions, 11 deletions
diff --git a/python/dpd/Adapt.py b/python/dpd/Adapt.py
index 8023a53..a30f0c8 100644
--- a/python/dpd/Adapt.py
+++ b/python/dpd/Adapt.py
@@ -44,12 +44,12 @@ def dpddata_to_str(dpddata) -> str:
if dpddata[0] == "poly":
coefs_am = dpddata[1]
coefs_pm = dpddata[2]
- return "dpd_coefs_am {}, dpd_coefs_pm {}".format(
+ return "Poly: AM/AM {}, AM/PM {}".format(
coefs_am, coefs_pm)
elif dpddata[0] == "lut":
scalefactor = dpddata[1]
lut = dpddata[2]
- return "LUT scalefactor {}, LUT {}".format(
+ return "LUT: scalefactor {}, LUT {}".format(
scalefactor, lut)
else:
raise ValueError("Unknown dpddata type {}".format(dpddata[0]))
diff --git a/python/dpdce.py b/python/dpdce.py
index 89b01c4..cf98aa0 100755
--- a/python/dpdce.py
+++ b/python/dpdce.py
@@ -142,7 +142,7 @@ results = {
'adapt_dumps': [],
'statplot': None,
'modelplot': None,
- 'modeldata': repr(dpddata),
+ 'modeldata': dpddata_to_str(dpddata),
'tx_median': 0,
'rx_median': 0,
'state': 'Idle',
@@ -218,7 +218,7 @@ def engine_worker():
results['state'] = 'Idle'
results['stateprogress'] = 0
results['summary'] = ["Reset"]
- results['modeldata'] = repr(model.get_dpd_data())
+ results['modeldata'] = dpddata_to_str(model.get_dpd_data())
clear_pngs(results)
extStat = None
elif cmd == "trigger_run":
@@ -288,7 +288,7 @@ def engine_worker():
internal_data['dpddata'] = dpddata
internal_data['n_runs'] = 0
- results['modeldata'] = repr(dpddata)
+ results['modeldata'] = dpddata_to_str(dpddata)
results['state'] = 'Capture + Model'
results['stateprogress'] = 90
results['summary'] += ["Reset statistics"]
@@ -337,10 +337,11 @@ def engine_worker():
summary = [f"Set predistorter:",
f"Signal measurements after iteration {iteration} with learning rate {lr}",
- f"TX MER {tx_mer}, RX MER {rx_mer}",
- "Shoulders: TX {!r}, RX {!r}".format(tx_shoulder_tuple, rx_shoulder_tuple),
- f"Mean-square error: {mse}",
- f"Running with digital gain {digital_gain}, TX gain {tx_gain} and RX gain {rx_gain}"]
+ f"TX MER {tx_mer:.2}, RX MER {rx_mer:.2}",
+ f"Mean-square error: {mse:.3}"]
+ if tx_shoulder_tuple is not None:
+ summary.append("Shoulders: TX {!r}, RX {!r}".format(tx_shoulder_tuple, rx_shoulder_tuple))
+ summary.append(f"Running with digital gain {digital_gain}, TX gain {tx_gain} and RX gain {rx_gain}")
with lock:
results['state'] = 'Update Predistorter'
@@ -361,7 +362,7 @@ def engine_worker():
results['stateprogress'] = 100
results['summary'] = [f"Restored DPD defaults",
f"Running with digital gain {digital_gain}, TX gain {tx_gain} and RX gain {rx_gain}"]
- results['modeldata'] = repr(dpddata)
+ results['modeldata'] = dpddata_to_str(dpddata)
else:
dump_file = os.path.join(plot_path, f"adapt_{dump_id}.pkl")
try:
@@ -373,7 +374,7 @@ def engine_worker():
results['stateprogress'] = 100
results['summary'] = [f"Restored DPD settings from dumpfile {dump_id}",
f"Running with digital gain {d['digital_gain']}, TX gain {d['txgain']} and RX gain {d['rxgain']}"]
- results['modeldata'] = repr(d["dpddata"])
+ results['modeldata'] = dpddata_to_str(d["dpddata"])
except:
e = traceback.format_exc()
with lock: