[rocm-libraries] ROCm/rocm-libraries#4259 (commit 223d90c)

Add multi-file trace parsing and analysis pipeline
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Extends build time analysis from ROCm/composable_kernel#3644 to handle
multiple trace files across build directories (see #4229):

- pipeline.py: Generic pipeline framework with fluent interface for
composable data processing. Provides parallel processing, progress
tracking, and error handling independent of trace-specific code.
Processes thousands of trace files at default resolution in minutes,
aggregating results into in-memory DataFrames for analysis.
- parse_build.py: Parse all trace files in a build directory
- build_analysis_example.ipynb: Demonstrates pipeline aggregation across
all build files

The pipeline design improves capability (composable operations),
performance (parallel processing), and user-friendliness (fluent API) of
the analysis modules. It enables analyzing compilation patterns across
the entire codebase with all trace data available in pandas DataFrames
for interactive exploration.

script/analyze_build/notebooks/file_analysis_example.ipynb

@@ -17,6 +17,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 2\n",
+    "\n",
     "import sys\n",
     "from pathlib import Path\n",
     "\n",
@@ -62,7 +65,8 @@
     "\n",
     "print(f\"Total events: {len(df):,}\")\n",
     "starting_timestamp = datetime.fromtimestamp(df.attrs[\"beginningOfTime\"] / 1e6)\n",
-    "print(f\"Starting timestamp: {starting_timestamp.strftime('%Y-%m-%d:%H:%M:%S')}\")"
+    "print(f\"Starting timestamp: {starting_timestamp.strftime('%Y-%m-%d:%H:%M:%S')}\")\n",
+    "print(f\"Source file: {df.attrs['sourceFile']}\")"
    ]
   },
   {