@@ -60,6 +60,7 @@ Full documentation for ROCm Compute Profiler is available at [https://rocm.docs.
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* Update definition of following metrics for MI 350:
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* VGPR Writes
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* Total FLOPs (consider fp6 and fp4 ops)
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* Update Dash to >=3.0.0 (for web UI)
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### Resolved issues
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@@ -1,6 +1,6 @@
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astunparse==1.6.2
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colorlover
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dash>=1.12.0
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dash>=3.0.0
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matplotlib
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numpy>=1.17.5
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pandas>=1.4.3
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@@ -343,9 +343,7 @@ class webui_analysis(OmniAnalyze_Base):
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self._arch_configs[self.arch],
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)
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if args.random_port:
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self.app.run_server(
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debug=False, host="0.0.0.0", port=random.randint(1024, 49151)
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)
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self.app.run(debug=False, host="0.0.0.0", port=random.randint(1024, 49151))
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else:
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self.app.run(debug=False, host="0.0.0.0", port=args.gui)
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@@ -131,7 +131,7 @@ def build_bar_chart(display_df, table_config, barchart_elements, norm_filt):
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display_df["Avg"] = [
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x.astype(int) if x != "" else int(0) for x in display_df["Avg"]
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]
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df_unit = display_df["Unit"][0]
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df_unit = display_df["Unit"].iloc[0]
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d_figs.append(
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px.bar(
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display_df,
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@@ -149,7 +149,7 @@ def build_bar_chart(display_df, table_config, barchart_elements, norm_filt):
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display_df["Avg"] = [
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x.astype(int) if x != "" else int(0) for x in display_df["Avg"]
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]
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df_unit = display_df["Unit"][0]
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df_unit = display_df["Unit"].iloc[0]
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nested_bar = multi_bar_chart(table_config["id"], display_df)
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# generate chart for each coherency
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for group, metric in nested_bar.items():
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