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#!/usr/bin/env python3
# Copyright (c) 2025 The Khronos Group Inc.
# Copyright (c) 2025 Valve Corporation
# Copyright (c) 2025 LunarG, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import argparse
import os
import re
import sys
import struct
import numpy as np
from collections import defaultdict
def PrintExecutionModels(execution_models: set):
names = []
for e in execution_models:
if e == 0: # Maps to ExecutionModelVertex
names.append('Vertex')
elif e == 1:
names.append('TessControl')
elif e == 2:
names.append('TessEval')
elif e == 3:
names.append('Geometry')
elif e == 4:
names.append('Fragment')
elif e == 5:
names.append('Compute')
elif e == 6:
names.append('Kernel') # not allowed
elif e == 5267:
names.append('TaskNV')
elif e == 5268:
names.append('MeshNV')
elif e == 5364:
names.append('TaskEXT')
elif e == 5365:
names.append('MeshEXT')
elif e == 5313:
names.append("RayGenerationKHR")
elif e == 5314:
names.append("IntersectionKHR")
elif e == 5315:
names.append("AnyHitKHR")
elif e == 5316:
names.append("ClosestHitKHR")
elif e == 5317:
names.append("MissKHR")
elif e == 5318:
names.append("CallableKHR")
else:
print("ERROR - Stage not found")
return ",".join(names)
def ExtractShaderId(path: str):
match = re.search(r'dump_(\d+)_after\.spv', path)
return int(match.group(1)) if match else None
def ParseSpirv(file: str, stats_collector: dict):
with open(file, "rb") as f:
# Read the whole binary file as uint32 words
words = list(struct.unpack(f"{len(f.read()) // 4}I", f.seek(0) or f.read()))
name_dict = dict()
function_call_count = defaultdict(int)
execution_models = set() # Use a set to store unique numbers
offset = 5 # First 5 words are the header
while offset < len(words):
instruction = words[offset]
length = instruction >> 16
opcode = instruction & 0xFFFF
if opcode == 5: # OpName
target_id = words[offset + 1]
raw_string = words[offset + 2 : offset + length]
byte_data = b''.join(struct.pack("I", word) for word in raw_string)
name = byte_data.split(b'\x00', 1)[0].decode("utf-8")
name_dict[target_id] = name
elif opcode == 15: # OpEntryPoint
execution_model = words[offset + 1]
execution_models.add(execution_model)
elif opcode == 57: # OpFunctionCall
function_id = words[offset + 3]
function_call_count[function_id] += 1
offset += length # Move to the next instruction
print(f'Shader Id {ExtractShaderId(file)} ({PrintExecutionModels(execution_models)})')
for function_id, count in function_call_count.items():
# Non-instrumented functions might not have a name
if function_id in name_dict:
function_name = name_dict[function_id]
if function_name.startswith('inst_'):
print(f" {function_name}: {count}")
# Store count per function to later do statistics
if function_name not in stats_collector:
stats_collector[function_name] = []
stats_collector[function_name].append(count)
def print_statistics(stats_collector: dict):
print("\n=== Function Call Statistics ===")
for function_name, counts in stats_collector.items():
counts_array = np.array(counts)
print(f"\nFunction: {function_name}")
print(f" Count: {len(counts)}")
print(f" Min: {np.min(counts_array)}")
print(f" Max: {np.max(counts_array)}")
print(f" Mean: {np.mean(counts_array):.2f}")
print(f" Median: {np.median(counts_array):.2f}")
print(f" 75th percentile: {np.percentile(counts_array, 75):.2f}")
print(f" 95th percentile: {np.percentile(counts_array, 95):.2f}")
def main(argv):
parser = argparse.ArgumentParser(description='Get info about a GPU-AV instrumented SPIR-V dump')
group = parser.add_mutually_exclusive_group(required=True)
group.add_argument('--files', nargs='+', help='List of files to inspect')
group.add_argument('--dir', help='Pass in a directory path that contains all the dumped files.', dest='directory')
args = parser.parse_args(argv)
spirv_list = []
if args.directory:
after_files = []
pattern = re.compile(r'dump_(\d+)_after')
for root, _, files in os.walk(args.directory):
for file in files:
if pattern.search(file):
full_path = os.path.join(root, file)
after_files.append(full_path)
spirv_list = sorted(after_files, key=ExtractShaderId)
else:
spirv_list = args.files
stats_collector = defaultdict(list)
for file in spirv_list:
ParseSpirv(file, stats_collector)
print_statistics(stats_collector)
if __name__ == '__main__':
sys.exit(main(sys.argv[1:]))
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