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Update headers based on latest rocprofv2 output. Overwrite old headers.

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Signed-off-by: colramos-amd <colramos@amd.com>
This commit is contained in:
colramos-amd
2024-01-19 13:46:01 -06:00
committed by Cole Ramos
parent 7846a663fd
commit a171e776e4
10 changed files with 83 additions and 103 deletions
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src/utils/parser.py
+16 -16
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@@ -61,7 +61,7 @@ pmc_kernel_top_table_id = 1
# },
# {
# "case": { "$eq": [ $normUnit, "per Sec"]} ,
# "then": {"$divide":[{"$subtract": ["&EndNs", "&BeginNs" ]}, 1000000000]}
# "then": {"$divide":[{"$subtract": ["&End_Timestamp", "&Start_Timestamp" ]}, 1000000000]}
# }
# ],
# "default": 1
@@ -70,7 +70,7 @@ pmc_kernel_top_table_id = 1
supported_denom = {
"per_wave": "SQ_WAVES",
"per_cycle": "GRBM_GUI_ACTIVE",
"per_second": "((EndNs - BeginNs) / 1000000000)",
"per_second": "((End_Timestamp - Start_Timestamp) / 1000000000)",
"per_kernel": "1",
}
@@ -79,7 +79,7 @@ build_in_vars = {
"numActiveCUs": "TO_INT(MIN((((ROUND(AVG(((4 * SQ_BUSY_CU_CYCLES) / GRBM_GUI_ACTIVE)), \
0) / $maxWavesPerCU) * 8) + MIN(MOD(ROUND(AVG(((4 * SQ_BUSY_CU_CYCLES) \
/ GRBM_GUI_ACTIVE)), 0), $maxWavesPerCU), 8)), $numCU))",
"kernelBusyCycles": "ROUND(AVG((((EndNs - BeginNs) / 1000) * $sclk)), 0)",
"kernelBusyCycles": "ROUND(AVG((((End_Timestamp - Start_Timestamp) / 1000) * $sclk)), 0)",
}
supported_call = {
@@ -357,15 +357,15 @@ def gen_counter_list(formula):
}
built_in_counter = [
"lds",
"grd",
"wgr",
"arch_vgpr",
"accum_vgpr",
"sgpr",
"scr",
"BeginNs",
"EndNs",
"LDS_Per_Workgroup",
"Grid_Size",
"Workgroup_Size",
"Arch_VGPR",
"Accum_VGPR",
"SGPR",
"Scratch_Per_Workitem",
"Start_Timestamp",
"End_Timestamp",
]
visited = False
@@ -492,7 +492,7 @@ def build_dfs(archConfigs, filter_metrics, sys_info):
for data_source in panel["data source"]:
for type, data_config in data_source.items():
if type == "metric_table":
headers = ["Index"]
headers = ["Dispatch_ID"]
if (
"cli_style" in data_config
@@ -600,7 +600,7 @@ def build_dfs(archConfigs, filter_metrics, sys_info):
i += 1
df.set_index("Index", inplace=True)
df.set_index("Dispatch_ID", inplace=True)
# df.set_index('Metric', inplace=True)
# print(tabulate(df, headers='keys', tablefmt='fancy_grid'))
elif type == "raw_csv_table":
@@ -828,7 +828,7 @@ def apply_filters(workload, dir, is_gui, debug):
if workload.filter_gpu_ids:
ret_df = ret_df.loc[
ret_df[schema.pmc_perf_file_prefix]["gpu-id"]
ret_df[schema.pmc_perf_file_prefix]["GPU_ID"]
.astype(str)
.isin([workload.filter_gpu_ids])
]
@@ -890,7 +890,7 @@ def apply_filters(workload, dir, is_gui, debug):
if ">" in workload.filter_dispatch_ids[0]:
m = re.match("\> (\d+)", workload.filter_dispatch_ids[0])
ret_df = ret_df[
ret_df[schema.pmc_perf_file_prefix]["Index"] > int(m.group(1))
ret_df[schema.pmc_perf_file_prefix]["Dispatch_ID"] > int(m.group(1))
]
else:
dispatches = [int(x) for x in workload.filter_dispatch_ids]