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Added consistent 'Channel' headers to l2_per_chan, removed hardcoded 32 channels, and removed printed Nones (#276)

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Signed-off-by: colramos-amd <colramos@amd.com>
This commit is contained in:
colramos-amd
2024-02-27 16:56:25 -06:00
committed by Cole Ramos
parent e2ef041057
commit 09f1455308
8 changed files with 212 additions and 156 deletions
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src/utils/parser.py
+28 -21
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@@ -497,7 +497,7 @@ def build_dfs(archConfigs, filter_metrics, sys_info):
"cli_style" in data_config
and data_config["cli_style"] == "simple_box"
):
headers.append("Metric")
headers.append(data_config["header"]["metric"])
for k in simple_box.keys():
headers.append(k)
@@ -855,29 +855,36 @@ def apply_filters(workload, dir, is_gui, debug):
# We pick up kernel names from kerne ids first.
# Then filter valid entries with kernel names.
if workload.filter_kernel_ids:
# Verify valid kernel filter
kernels_df = pd.read_csv(os.path.join(dir, "pmc_kernel_top.csv"))
for kernel_id in workload.filter_kernel_ids:
if kernel_id >= len(kernels_df["Kernel_Name"]):
error(
"{} is an invalid kernel id. Please enter an id between 0-{}".format(
kernel_id, len(kernels_df["Kernel_Name"]) - 1
if type(workload.filter_kernel_ids) == int:
# Verify valid kernel filter
kernels_df = pd.read_csv(os.path.join(dir, "pmc_kernel_top.csv"))
for kernel_id in workload.filter_kernel_ids:
if kernel_id >= len(kernels_df["Kernel_Name"]):
error(
"{} is an invalid kernel id. Please enter an id between 0-{}".format(
kernel_id, len(kernels_df["Kernel_Name"]) - 1
)
)
)
kernels = []
# NB: mark selected kernels with "*"
# Todo: fix it for unaligned comparison
kernel_top_df = workload.dfs[pmc_kernel_top_table_id]
kernel_top_df["S"] = ""
for kernel_id in workload.filter_kernel_ids:
# print("------- ", kernel_id)
kernels.append(kernel_top_df.loc[kernel_id, "Kernel_Name"])
kernel_top_df.loc[kernel_id, "S"] = "*"
kernels = []
# NB: mark selected kernels with "*"
# Todo: fix it for unaligned comparison
kernel_top_df = workload.dfs[pmc_kernel_top_table_id]
kernel_top_df["S"] = ""
for kernel_id in workload.filter_kernel_ids:
# print("------- ", kernel_id)
kernels.append(kernel_top_df.loc[kernel_id, "Kernel_Name"])
kernel_top_df.loc[kernel_id, "S"] = "*"
if kernels:
# print("fitlered df:", len(df.index))
if kernels:
# print("fitlered df:", len(df.index))
ret_df = ret_df.loc[
ret_df[schema.pmc_perf_file_prefix]["Kernel_Name"].isin(kernels)
]
elif type(workload.filter_kernel_ids) == str:
ret_df = ret_df.loc[
ret_df[schema.pmc_perf_file_prefix]["Kernel_Name"].isin(kernels)
ret_df[schema.pmc_perf_file_prefix]["Kernel_Name"].isin(
workload.filter_kernel_ids
)
]
if workload.filter_dispatch_ids: