Reduce default content in GUI #9
Signed-off-by: colramos-amd <colramos@amd.com>
[ROCm/rocprofiler-compute commit: d4bf9d1c16]
This commit is contained in:
@@ -175,9 +175,7 @@ def omniperf_cli(args):
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args.path[0][0]
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) # create mega df
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is_gui = False
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# parser.load_table_data(
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# runs[args.path[0][0]], args.path[0][0], is_gui, args.g
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# ) # create the loaded table
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parser.load_kernel_top(runs[args.path[0][0]], args.path[0][0])
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input_filters = {
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"kernel": runs[args.path[0][0]].filter_kernel_ids,
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@@ -308,9 +308,7 @@ def build_layout(
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Build gui layout
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"""
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comparable_columns = parser.build_comparable_columns(time_unit)
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base_run, base_data = next(iter(runs.items()))
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app.layout = html.Div(style={"backgroundColor": "rgb(50, 50, 50)" if IS_DARK else ""})
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filt_kernel_names = []
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@@ -343,6 +341,7 @@ def build_layout(
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)
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def generate_from_filter(disp_filt, kernel_filter, gcd_filter, div_children):
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runs[path_to_dir].dfs = copy.deepcopy(archConfigs.dfs) # reset the equations
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panel_configs = copy.deepcopy(archConfigs.panel_configs)
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# Generate original raw df
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runs[path_to_dir].raw_pmc = file_io.create_df_pmc(path_to_dir)
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if verbose >= 1:
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@@ -361,11 +360,27 @@ def build_layout(
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time_unit,
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num_results,
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)
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# Evaluate metrics and table data from the raw df
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is_gui = True
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# Only display basic metrics if no filters are applied
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if not (disp_filt or kernel_filter or gcd_filter):
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temp = {}
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keep = [1, 201, 101, 1901]
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for key in runs[path_to_dir].dfs:
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if keep.count(key) != 0:
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temp[key] = runs[path_to_dir].dfs[key]
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runs[path_to_dir].dfs = temp
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temp = {}
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keep = [0, 100, 200, 1900]
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for key in panel_configs:
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if keep.count(key) != 0:
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temp[key] = panel_configs[key]
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panel_configs = temp
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parser.load_table_data(
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runs[path_to_dir], path_to_dir, True, debug
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) # Note: All the filtering happens in this function
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div_children = []
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div_children.append(
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get_memchart(archConfigs.panel_configs[1900]["data source"], base_data)
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@@ -379,7 +394,7 @@ def build_layout(
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)
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)
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# Iterate over each section as defined in panel configs
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for panel_id, panel in archConfigs.panel_configs.items():
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for panel_id, panel in panel_configs.items():
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title = str(panel_id // 100) + ". " + panel["title"]
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section_title = (
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panel["title"]
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@@ -650,7 +650,6 @@ def apply_filters(workload, is_gui, debug):
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# NB: support ignoring the 1st n dispatched execution by '> n'
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# The better way may be parsing python slice string
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for d in workload.filter_dispatch_ids:
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print("len of ret_df is ", len(ret_df))
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if int(d) > len(ret_df) - 2: # subtract 2 bc of the two header rows
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print("{} is an invalid dispatch id.".format(d))
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sys.exit(1)
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@@ -674,12 +673,7 @@ def apply_filters(workload, is_gui, debug):
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return ret_df
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def load_table_data(workload, dir, is_gui, debug):
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"""
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Load data for all "raw_csv_table".
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Calculate mertric value for all "metric_table".
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"""
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def load_kernel_top(workload, dir):
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# NB:
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# - Do pmc_kernel_top.csv loading before eval_metric because we need the kernel names.
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# - There might be a better way/timing to load raw_csv_table.
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@@ -698,9 +692,16 @@ def load_table_data(workload, dir, is_gui, debug):
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# All transposed columns should be marked with a general header,
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# so tty could detect them and show them correctly in comparison.
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tmp[id].columns = ["Info"]
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workload.dfs.update(tmp)
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def load_table_data(workload, dir, is_gui, debug):
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"""
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Load data for all "raw_csv_table".
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Calculate mertric value for all "metric_table".
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"""
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load_kernel_top(workload, dir)
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eval_metric(
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workload.dfs,
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workload.dfs_type,
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