Support MI 350 profiling (#632)
* Add MI 350 hardware information
* Refactor MI GPU YAML file and corresponding interface
* Add SoC file for gfx950 architecture
* Add analysis report configs for MI 350 containing existing metrics
* Add placeholder None valued metrics for previous architectures to make
baseline comparison work
* Enable testing on MI 350
* Analysis config metric changes
- SPI changes
- Update metric formula for default SPI pipe counter
- Use efficiently collected pipe wise SPI counters
- Add SPI Wave Occupancy
- Add Scheduler-Pipe Wave Utilization
- Update formula for VGPR Writes
- Add Scheduler-Pipe FIFO Full Rate
- CPC changes
- Add CPC SYNC FIFO Full Rate
- Add CPC CANE Stall Rate
- Add CPC ADC Utilization
- SQ changes
- Add VALU co-issue efficiency
- Add F6F4 datatype metrics
- Update formula for total FLOPs by adding F6F4 counters
- Add LDS STORE / LOAD / ATOMIC metrics
- Add LDS STORE / LOAD / ATOMIC bandwidth
- Add LDS FIFO and TA ADDR / CMD / DATA FIFO full rates
* Collect TCP_TCP_LATENCY_sum only for gfx950 (MI 350)
* Do not inject SQ_ACCUM_PREV_HIRES unnecesarily
* Do not hardcode memory and shader clock speeds
* Write num_hbm_channels to sysinfo.csv instead of hbm_bw while profiling
* Move generate sysinfo.csv to pre processing step of profiling
* Add warnings to use --specs-correction for missing sysinfo.csv values during analysis phase
* Update CHANGELOG
* Analysis phase warning to use --specs-correction when needed
Bu işleme şunda yer alıyor:
@@ -120,7 +120,7 @@ def discrete_background_color_bins(df, n_bins=5, columns="all"):
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####################
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# GRAPHICAL ELEMENTS
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####################
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def build_bar_chart(display_df, table_config, barchart_elements, norm_filt, hbm_bw):
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def build_bar_chart(display_df, table_config, barchart_elements, norm_filt):
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"""
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Read data into a bar chart. ID will determine which subtype of barchart.
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"""
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@@ -214,6 +214,9 @@ def build_bar_chart(display_df, table_config, barchart_elements, norm_filt, hbm_
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orientation="h",
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).update_xaxes(range=[0, 110], ticks="inside", title="%")
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) # append first % chart
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hbm_bw = float(
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display_df[display_df["Metric"] == "HBM Bandwidth"]["Avg"].iloc[0]
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)
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d_figs.append(
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px.bar(
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display_df[display_df["Unit"] == "Gb/s"],
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