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reformatting
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Signed-off-by: JoseSantosAMD <Jose.Santos@amd.com>
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JoseSantosAMD committed Aug 2, 2023
1 parent efb1398 commit 80e6583
Showing 1 changed file with 107 additions and 14 deletions.
121 changes: 107 additions & 14 deletions src/omniperf_analyze/utils/tty.py
Original file line number Diff line number Diff line change
Expand Up @@ -150,28 +150,121 @@ def show_all(args, runs, archConfigs, output):
for x in base_df[header]
]
if "Unit" in cur_df.columns:
for idx, row in cur_df[cur_df["Unit"] == "Gb/s"].items():
for idx, row in cur_df[
cur_df["Unit"] == "Gb/s"
].items():
for curr_metric in row:
curr_row = cur_df[cur_df["Metric"] == curr_metric]
curr_row = cur_df[
cur_df["Metric"] == curr_metric
]
if not curr_row.empty:
if "Value" in curr_row:
if curr_row.Value[0] < 0.001:
cur_df.loc[(cur_df["Metric"] == curr_metric), "Unit"] = "Kb/s"
cur_df.loc[(cur_df["Metric"] == curr_metric), "Value"] = 1000000* curr_row.Value
cur_df.loc[
(
cur_df["Metric"]
== curr_metric
),
"Unit",
] = "Kb/s"
cur_df.loc[
(
cur_df["Metric"]
== curr_metric
),
"Value",
] = (
1000000
* curr_row.Value
)
elif curr_row.Value[0] < 1:
cur_df.loc[(cur_df["Metric"] == curr_metric), "Unit"] = "Mb/s"
cur_df.loc[(cur_df["Metric"] == curr_metric), "Value"] = 1000 * curr_row.Value
cur_df.loc[
(
cur_df["Metric"]
== curr_metric
),
"Unit",
] = "Mb/s"
cur_df.loc[
(
cur_df["Metric"]
== curr_metric
),
"Value",
] = (
1000 * curr_row.Value
)
elif "Avg" in curr_row:
if curr_row.Avg[0] < 0.001:
cur_df.loc[(cur_df["Metric"] == curr_metric), "Unit"] = "Kb/s"
cur_df.loc[(cur_df["Metric"] == curr_metric), "Avg"] = 1000000* curr_row.Avg
cur_df.loc[(cur_df["Metric"] == curr_metric), "Min"] = 1000000* curr_row.Min
cur_df.loc[(cur_df["Metric"] == curr_metric), "Max"] = 1000000* curr_row.Max
cur_df.loc[
(
cur_df["Metric"]
== curr_metric
),
"Unit",
] = "Kb/s"
cur_df.loc[
(
cur_df["Metric"]
== curr_metric
),
"Avg",
] = (
1000000 * curr_row.Avg
)
cur_df.loc[
(
cur_df["Metric"]
== curr_metric
),
"Min",
] = (
1000000 * curr_row.Min
)
cur_df.loc[
(
cur_df["Metric"]
== curr_metric
),
"Max",
] = (
1000000 * curr_row.Max
)
elif curr_row.Avg[0] < 1:
cur_df.loc[(cur_df["Metric"] == curr_metric), "Unit"] = "Mb/s"
cur_df.loc[(cur_df["Metric"] == curr_metric), "Avg"] = 1000 * curr_row.Avg
cur_df.loc[(cur_df["Metric"] == curr_metric), "Min"] = 1000 * curr_row.Min
cur_df.loc[(cur_df["Metric"] == curr_metric), "Max"] = 1000 * curr_row.Max
cur_df.loc[
(
cur_df["Metric"]
== curr_metric
),
"Unit",
] = "Mb/s"
cur_df.loc[
(
cur_df["Metric"]
== curr_metric
),
"Avg",
] = (
1000 * curr_row.Avg
)
cur_df.loc[
(
cur_df["Metric"]
== curr_metric
),
"Min",
] = (
1000 * curr_row.Min
)
cur_df.loc[
(
cur_df["Metric"]
== curr_metric
),
"Max",
] = (
1000 * curr_row.Max
)
df = pd.concat([df, cur_df[header]], axis=1)

if not df.empty:
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