Visible to Intel only — GUID: GUID-F26E8B23-9A99-46FE-B03C-7E785CFEF9C8
Visible to Intel only — GUID: GUID-F26E8B23-9A99-46FE-B03C-7E785CFEF9C8
analyze.py Options
This script allows you to run an analysis on profiling data and generate report results.
Usage
advisor-python <APM>/analyze.py <project-dir> [--options]
Options
The following table describes options that you can use with the analyze.py script.
Option |
Description |
---|---|
<project-dir> |
Required. Specify the path to the Intel® Advisor project directory. |
-h --help |
Show all script options. |
--version |
Display Intel® Advisor version information. |
-v <verbose> --verbose <verbose> |
Specify output verbosity level:
NOTE:
This option affects the console output, but does not affect logs and report results.
|
--assume-dependencies (default) | --no-assume-dependencies |
Assume that a loop has a dependency if the loop type is not known. When disabled, assume that a loop does not have dependencies if the loop dependency type is unknown. |
--assume-hide-taxes [<loop-id> | <file-name>:<line-number>] |
Use an optimistic approach to estimate invocation taxes: hide all invocation taxes except the first one. You can provide a comma-separated list of loop IDs and source locations to hide taxes for. If you do not provide a list, taxes are hidden for all loops. |
--assume-never-hide-taxes (default) |
Use a pessimistic approach to estimate invocation taxes: do not hide invocation taxes. |
--assume-ndim-dependency (default) | --no-assume-ndim-dependency |
When searching for an optimal N-dimensional offload, assume there are dependencies between inner and outer loops. |
--assume-parallel | --no-assume-parallel (default) |
Assume that a loop is parallel if the loop type is not known. |
--assume-single-data-transfer (default) | --no-assume-single-data-transfer |
Assumed data is transferred once for each offload, and all instances share the data. When disabled, assume each data object is transferred for every instance of an offload that uses it. This method assumes no data re-use between calls to the same kernel.
IMPORTANT:
This option requires you to enable the following options during the Trip Counts collection:
|
--atomic-access-pattern <pattern> |
Select an atomic access pattern. Possible options: sequential, partial_sums_16, same. By default, it is set to partial_sums_16. |
--assume-atomic-optimization-ratio <ratio> |
Model atomic accesses as a number of parallel sums. Specify one of the following values: 8, 16, 32, 64, 128 to model a specific number of parallel sums. Specify 0 value to search for an optimal number of parallel sums. Default value: '16'. |
--check-profitability (default) | --no-check-profitability |
Check the profitability of offloading regions. Only regions that can benefit from the increased speed are added to a report. When disabled, add all evaluated regions to a report, regardless of the profitability of offloading specific regions. |
--config <config> |
Specify a configuration file by absolute path or name. If you choose the latter, the model configuration directory is searched for the file first, then the current directory. The following device configurations are available: xehpg_512xve (default), xehpg_256xve , gen11_icl, gen12_tgl, gen12_dg1, gen9_gt4, gen9_gt3, gen9_gt2.
NOTE:
You can specify several configurations by using the option more than once.
|
--count-logical-instructions (default) | --no-count-logical-instructions |
Use the projection of x86 logical instructions to GPU logical instructions. |
--count-memory-instructions (default) | --no-count-memory-instructions |
Use the projection of x86 instructions with memory to GPU SEND/SENDS instructions. |
--count-mov-instructions | --no-count-mov-instructions (default) |
Use the projection of x86 MOV instructions to GPU MOV instructions. |
--count-send-latency {all, first, off} |
Select how to model SEND instruction latency.
|
--cpu-scale-factor <integer> |
Assume a host CPU that is faster than the original CPU by the specified value. All original CPU times are divided by the scale factor. |
--data-reuse-analysis | --no-data-reuse-analysis (default) |
Estimate data reuse between offloaded regions. Disabling can decrease analyze overhead.
IMPORTANT:
This option requires you to enable the following options during the Trip Counts collection:
|
--data-transfer-histogram (default) | --no-data-transfer-histogram |
Estimate fine-grained data transfer and latencies for each object transferred and add a memory object histogram to a report.
IMPORTANT:
This option requires you to enable track-memory-objects or data-transfer=medium or higher (for advisor CLI only) during the Trip Counts collection.
|
--disable-fp64-math-optimization |
Disable accounting for optimized traffic for transcendentals on the GPU. |
--enable-batching | --disable-batching (default) |
Enable job batching for top-level offloads. Emulate the execution of more than one instance simultaneously. |
--enable-edram |
Enable eDRAM modeling in the memory hierarchy model.
NOTE:
Make sure to use this option with both collect.py and analyze.py.
|
--enable-slm |
Enable SLM modeling in the memory hierarchy model.
NOTE:
Make sure to use this option with both collect.py and analyze.py.
|
--enforce-baseline-decomposition | --no-enforce-baseline-decomposition (default) |
Use the same local size and SIMD width as measured on the baseline. When disabled, search for an optimal local size and SIMD width to optimize kernel execution time. Enable the option for the GPU-to-GPU performance modeling. |
-e, --enforce-offloads | --no-enforce-offloads (default) |
Skip the profitability check, disable analyzing child loops and functions, and ensure that the rows marked for offload are offloaded even if offloading child rows is more profitable. |
--estimate-max-speedup (default) | --no-estimate-max-speedup |
Estimate region speedup with relaxed constraints.
NOTE:
Disabling can decrease performance model overhead.
|
--evaluate-min-speedup |
Enable offload fraction estimation that reaches minimum speedup defined in a configuration file. Disabled by default. |
--exclude-from-report <items-to-exclude> |
Specify items to exclude from a report. Available items: memory_objects, sources, call_graph, dependencies, strides. By default, you can exclude the following items from the report:
Use this option if your report is heavy weight, for example, due to containing a lot of memory objects or sources, which slows down opening in a browser.
NOTE:
This option affects only data shown in the HTML report and does not affect data collection.
|
--force-32bit-arithmetics |
Force all arithmetic operations to be considered single-precision FPs or int32. |
--force-64bit-arithmetics |
Force all arithmetic operations to be considered double-precision FPs or int64. |
--gpu (recommended) | --profile-gpu | --analyze-gpu-kernels-only |
Model performance only for code regions running on a GPU. Use one of the three options.
IMPORTANT:
Make sure to specify this option for both collect.py and analyze.py.
NOTE:
This is a preview feature. --analyze-gpu-kernels-only is deprecated and will be removed in futire releases.
|
--hide-data-transfer-tax | --no-hide-data-transfer-tax (default) |
Disable data transfer tax estimation. By default, the data transfer tax estimation is enabled. |
--ignore <list> |
Specify a comma-separated list of runtimes or libraries to ignores time spent in regions from these runtimes and libraries when calculating per-program speedup.
NOTE:
This does not affect estimated speedup of individual offloads.
|
--include-to-report <items-to-include> |
Specify items to include to a report. Available items: memory_objects, sources, call_graph, dependencies, strides. By default, you can add the following items from the report:
Use this option if you want to add more data to the report or see that some data, for example, sources or memory objects, are missing from the report, though you collected this data.
NOTE:
This option affects only data shown in the HTML report and does not affect data collection.
|
--loop-filter-threshold <threshold> |
Specify the loop filter threshold in seconds. The default is 0.02. Loop nests with total time less than the threshold are ignored. |
-m <markup> --markup <markup> |
Select markup_analyze, affecting which regions to mark up for data collection and analysis. |
--model-children (default) | --no-model-children |
Analyze child loops of the region head to find if some of the loops provide more profitable offload. |
--model-extended-math (default) | --no-model-extended-math |
Model calls to math functions such as EXP, LOG, SIN, and COS as extended math instructions, if possible. |
--model-system-calls (default) | --no-model-system-calls |
Analyze regions with system calls inside. The actual presence of system calls inside a region may reduce model accuracy. |
--mpi-rank <mpi-rank> |
Model performance for the specified MPI rank if multiple ranks were analyzed. |
--ndim-depth-limit <N> |
When searching for an optimal N-dimensional offload, limit the maximum loop depth that can be converted to one offload. The limit must be in the range 1 <= N <= 6. The default value is 3. |
--no-cachesim |
Disable cache simulation during collection. The model assumes 100% hit rate for cache.
NOTE:
Usage decreases analysis overhead.
|
--no-stacks |
Run data analysis without using callstacks data. You can use this option to avoid bad callstacks attributed data at the expense of accuracy. |
--non-accel-time-breakdown |
Provide a detailed breakdown of non-offloaded parts of offloaded regions. |
-o <output-dir> --out-dir <output-dir> |
Specify the directory to put all generated files into. By default, results are saved in <advisor-project>/e<NNN>/pp<MMM>/data.0. If you specify an existing directory or absolute path, results are saved in specified directory. The new directory is created if it does not exist. If you only specify the directory <name>, results are stored in <advisor-project>/e<NNN>/pp<MMM>/<name>.
NOTE:
If you use this options, you might not be able to open the analysis results in the Intel Advisor GUI.
|
-p <output-name-prefix> --out-name-prefix <output-name-prefix> |
Specify a string to add to the beginning output result filenames.
NOTE:
If you use this options, you might not be able to open the analysis results in the Intel Advisor GUI.
|
--overlap-taxes | --no-overlap-taxes (default) |
Enable asynchronous execution to overlap offload overhead with execution time. When disabled, assume no overlap of execution time and offload overhead. |
--refine-repeated-transfer | --no-refine-repeated-transfer (default) |
Reduce over-estimation of data transfer when --no-assume-single-data-transfer is used. This option counts how many times each data object is modified and limits the number of data transfers based on that result. For example, constant data may be used in each call to a loop, but needs to be transferred to a device only once.
IMPORTANT:
This option requires you to enable the following options during the Trip Counts collection:
|
--search-n-dim (default) | --no-search-n-dim |
Enable search for optimal N-dimensional offload. |
-l [<file-name>:<line-number>] --select-loops [<file-name>:<line-number>] |
Limit the analysis to specified loop nests determined by passing a topmost loop. The parameter must be a comma-separated list of source locations in the following format: <file-name>:<line-number>. |
--set-dependency [<IDs/source-locations>] |
Assume loops have dependencies if they have IDs or source locations from the specified comma-separated list. If the list is empty, assume all loops have dependencies.
NOTE:
--set-dependency option takes precedence over --set-parallel, so if a loop is listed in both, it is considered as having a dependency.
|
--set-parallel [<IDs/source-locations>] |
Assume loops are parallel if they have IDs or source locations from a specified comma-separated list. If the list is empty, assume all loops are parallel.
NOTE:
--set-dependency option takes precedence over --set-parallel, so if a loop is listed in both, it is considered as having a dependency.
|
--set-parameter <CLI-config> |
Specify a single-line configuration parameter to modify in a format "<group>.<parameter>=<new-value>". For example: "min_required_speed_up=0", "scale.Tiles_per_process=0.5". You can use this option more than once to modify several parameters.
IMPORTANT:
Make sure to use this option for both collect.py and analyze.py with the same value.
|
--small-node-filter <threshold> |
Specify the total time threshold, in seconds, to filter out nodes in the program_tree.dot and program_tree.pdf that fall below this value. The default is 0.0. |
--threads <number-of-threads> |
Specify the number of parallel threads to use for offload heads. |
--track-heap-objects | --no-track-heap-objects |
Deprecated. Use --track-memory-objects. |
--track-memory-objects (default) | --no-track-memory-objects |
Attribute heap-allocated objects to the analyzed loops that accessed the objects. Disabling can decrease collection overhead.
IMPORTANT:
This option requires you to enable the following options during the Trip Counts collection:
|
--use-collect-configs | --no-use-collect-configs (default) |
Use configuration files from collection phase in addition to default and custom configuration files. |
Examples
Run analysis with default configuration on the project in the ./advi directory. The generated output is saved to the default advi/perf_models/mNNNN directory.
advisor-python $APM/analyze.py ./advi_results
Run analysis using the Intel® Iris® Xe MAX graphics (gen12_dg1 configuration) configuration for the specific loops of the ./advi project. Add both analyzed loops to the report regardless of their offloading profitability. The generated output is saved to the default advi/perf_models/mNNNN directory.
advisor-python $APM/analyze.py ./advi_results --config gen12_dg1 --select-loops [foo.cpp:34,bar.cpp:192] --no-check-profitability
Run analysis for a custom configuration on the ./advi project. Mark up regions for analysis and assume a code region is parallel if its type is unknown. Save the generated output to the advi/perf_models/report directory.
advisor-python $APM/analyze.py ./advi_results --config ./myConfig.toml --markup --assume-parallel --out-dir report