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log_filter.py
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log_filter.py
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import re
import argparse
malloc_pattern = r"malloc\s+(0x[0-9a-fA-F]+),\s*size\s+(\d+)"
free_pattern = r"free\s+(0x[0-9a-fA-F]+)"
key_offset = -1
value_offset = -1
class Node:
def __init__(self, idx, name, addrs = [], all_addr_corresponding_malloc_idx = []):
self.idx = idx
self.name = name
self.addrs = addrs
self.all_addr_corresponding_malloc_idx = all_addr_corresponding_malloc_idx
def get_node_type(line):
match = re.search(r"node type: (\d+)", line)
if match:
node_type = int(match.group(1))
return node_type
else:
print("No match found.")
def get_node_idx(line):
match = re.search(r"node idx: (\d+)", line)
if match:
node_idx = int(match.group(1))
return node_idx
else:
print("No match found.")
def get_node_func_name(line):
match = re.search(r"kernel_func\.name mangled = (.+)", line)
if match:
func_name = match.group(1)
return func_name
else:
print("No match found.")
def process_memset_kernel(all_lines, line_no):
addrs = []
addr_line = all_lines[line_no + 1]
pattern = r"memset_params.dst = (0x[\da-fA-F]+)"
match = re.search(pattern, addr_line)
if match:
address = match.group(1)
addrs.append(address)
else:
print("No match found.")
exit(-1)
return addrs
def process_ampere_kernel(all_lines, line_no):
addrs = []
addr_line = all_lines[line_no + 2]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
first_input_matrix_addr = ''.join(reversed_numbers)
first_input_matrix_addr = "0x" + first_input_matrix_addr.lstrip('0')
addrs.append(first_input_matrix_addr)
reversed_numbers = numbers[-8:][::-1]
second_input_matrix_addr = ''.join(reversed_numbers)
second_input_matrix_addr = "0x" + second_input_matrix_addr.lstrip('0')
addrs.append(second_input_matrix_addr)
addr_line = all_lines[line_no + 3]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
output_matrix_addr = ''.join(reversed_numbers)
output_matrix_addr = "0x" + output_matrix_addr.lstrip('0')
addrs.append(output_matrix_addr)
addr_line = all_lines[line_no + 9]
numbers = addr_line.split()
reversed_numbers = numbers[-8:][::-1]
tmp_matrix_addr = ''.join(reversed_numbers)
tmp_matrix_addr = "0x" + tmp_matrix_addr.lstrip('0')
addrs.append(tmp_matrix_addr)
return addrs
def process_sm80_kernel(all_lines, line_no):
addrs = []
addr_line = all_lines[line_no + 2]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
reversed_numbers = numbers[-8:][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 3]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 5]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
return addrs
def process_ampere_kernel_208(all_lines, line_no):
addrs = []
addr_line = all_lines[line_no + 2]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
first_input_matrix_addr = ''.join(reversed_numbers)
first_input_matrix_addr = "0x" + first_input_matrix_addr.lstrip('0')
addrs.append(first_input_matrix_addr)
reversed_numbers = numbers[-8:][::-1]
second_input_matrix_addr = ''.join(reversed_numbers)
second_input_matrix_addr = "0x" + second_input_matrix_addr.lstrip('0')
addrs.append(second_input_matrix_addr)
addr_line = all_lines[line_no + 3]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
output_matrix_addr = ''.join(reversed_numbers)
output_matrix_addr = "0x" + output_matrix_addr.lstrip('0')
addrs.append(output_matrix_addr)
addr_line = all_lines[line_no + 9]
numbers = addr_line.split()
reversed_numbers = numbers[-8:][::-1]
tmp_matrix_addr = ''.join(reversed_numbers)
tmp_matrix_addr = "0x" + tmp_matrix_addr.lstrip('0')
addrs.append(tmp_matrix_addr)
addr_line = all_lines[line_no + 13]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
tmp_matrix_addr = ''.join(reversed_numbers)
tmp_matrix_addr = "0x" + tmp_matrix_addr.lstrip('0')
addrs.append(tmp_matrix_addr)
return addrs
def process_paged_attention_v1_kernel(all_lines, line_no):
addrs = []
addr_line = all_lines[line_no + 2]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
out_addr = ''.join(reversed_numbers)
out_addr = "0x" + out_addr.lstrip('0')
addrs.append(out_addr)
addr_line = all_lines[line_no + 5]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
q_addr = ''.join(reversed_numbers)
q_addr = "0x" + q_addr.lstrip('0')
addrs.append(q_addr)
addr_line = all_lines[line_no + 8]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
k_cache_addr = ''.join(reversed_numbers)
k_cache_addr = "0x" + k_cache_addr.lstrip('0')
addrs.append(k_cache_addr)
addr_line = all_lines[line_no + 11]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
v_cache_addr = ''.join(reversed_numbers)
v_cache_addr = "0x" + v_cache_addr.lstrip('0')
addrs.append(v_cache_addr)
addr_line = all_lines[line_no + 20]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
block_tables_addr = ''.join(reversed_numbers)
block_tables_addr = "0x" + block_tables_addr.lstrip('0')
addrs.append(block_tables_addr)
addr_line = all_lines[line_no + 23]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
context_lens_addr = ''.join(reversed_numbers)
context_lens_addr = "0x" + context_lens_addr.lstrip('0')
addrs.append(context_lens_addr)
addr_line = all_lines[line_no + 29]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
context_lens_addr = ''.join(reversed_numbers)
context_lens_addr = "0x" + context_lens_addr.lstrip('0')
addrs.append(context_lens_addr)
return addrs
def process_paged_attention_v2_kernel(all_lines, line_no):
addrs = []
addr_line = all_lines[line_no + 2]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
exp_sums_addr = ''.join(reversed_numbers)
exp_sums_addr = "0x" + exp_sums_addr.lstrip('0')
addrs.append(exp_sums_addr)
addr_line = all_lines[line_no + 5]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
max_logits_addr = ''.join(reversed_numbers)
max_logits_addr = "0x" + max_logits_addr.lstrip('0')
addrs.append(max_logits_addr)
addr_line = all_lines[line_no + 8]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
tmp_out_addr = ''.join(reversed_numbers)
tmp_out_addr = "0x" + tmp_out_addr.lstrip('0')
addrs.append(tmp_out_addr)
addr_line = all_lines[line_no + 11]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
q_addr = ''.join(reversed_numbers)
q_addr = "0x" + q_addr.lstrip('0')
addrs.append(q_addr)
addr_line = all_lines[line_no + 14]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
k_cache_addr = ''.join(reversed_numbers)
k_cache_addr = "0x" + k_cache_addr.lstrip('0')
addrs.append(k_cache_addr)
addr_line = all_lines[line_no + 17]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
v_cache_addr = ''.join(reversed_numbers)
v_cache_addr = "0x" + v_cache_addr.lstrip('0')
addrs.append(v_cache_addr)
addr_line = all_lines[line_no + 26]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
block_tables_addr = ''.join(reversed_numbers)
block_tables_addr = "0x" + block_tables_addr.lstrip('0')
addrs.append(block_tables_addr)
addr_line = all_lines[line_no + 29]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
context_lens_addr = ''.join(reversed_numbers)
context_lens_addr = "0x" + context_lens_addr.lstrip('0')
addrs.append(context_lens_addr)
addr_line = all_lines[line_no + 35]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
context_lens_addr = ''.join(reversed_numbers)
context_lens_addr = "0x" + context_lens_addr.lstrip('0')
addrs.append(context_lens_addr)
return addrs
def process_paged_attention_v2_reduce_kernel(all_lines, line_no):
addrs = []
addr_line = all_lines[line_no + 2]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
out_addr = ''.join(reversed_numbers)
out_addr = "0x" + out_addr.lstrip('0')
addrs.append(out_addr)
addr_line = all_lines[line_no + 5]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
exp_sums_addr = ''.join(reversed_numbers)
exp_sums_addr = "0x" + exp_sums_addr.lstrip('0')
addrs.append(exp_sums_addr)
addr_line = all_lines[line_no + 8]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
max_logits_addr = ''.join(reversed_numbers)
max_logits_addr = "0x" + max_logits_addr.lstrip('0')
addrs.append(max_logits_addr)
addr_line = all_lines[line_no + 11]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
tmp_out_addr = ''.join(reversed_numbers)
tmp_out_addr = "0x" + tmp_out_addr.lstrip('0')
addrs.append(tmp_out_addr)
addr_line = all_lines[line_no + 14]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
context_lens_addr = ''.join(reversed_numbers)
context_lens_addr = "0x" + context_lens_addr.lstrip('0')
addrs.append(context_lens_addr)
return addrs
def process_cublasSplitKreduce_kernel(all_lines, line_no):
addrs = []
addr_line = all_lines[line_no + 8]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 11]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 14]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
return addrs
def process_fused_add_rms_norm_kernel(all_lines, line_no):
addrs = []
addr_line = all_lines[line_no + 2]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
input_addr = ''.join(reversed_numbers)
input_addr = "0x" + input_addr.lstrip('0')
addrs.append(input_addr)
addr_line = all_lines[line_no + 5]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
residual_addr = ''.join(reversed_numbers)
residual_addr = "0x" + residual_addr.lstrip('0')
addrs.append(residual_addr)
addr_line = all_lines[line_no + 8]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
weight_addr = ''.join(reversed_numbers)
weight_addr = "0x" + weight_addr.lstrip('0')
addrs.append(weight_addr)
return addrs
def get_base_addr(addr, offset):
integer_value = int(addr, 16) - offset
return str(hex(integer_value))
def process_reshape_and_cache_kernel(all_lines, line_no):
addrs = []
addr_line = all_lines[line_no + 2]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
key_addr = ''.join(reversed_numbers)
key_addr = "0x" + key_addr.lstrip('0')
key_addr = get_base_addr(key_addr, key_offset)
addrs.append(key_addr)
addr_line = all_lines[line_no + 5]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
value_addr = ''.join(reversed_numbers)
value_addr = "0x" + value_addr.lstrip('0')
value_addr = get_base_addr(value_addr, value_offset)
addrs.append(value_addr)
addr_line = all_lines[line_no + 8]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
key_cache_addr = ''.join(reversed_numbers)
key_cache_addr = "0x" + key_cache_addr.lstrip('0')
addrs.append(key_cache_addr)
addr_line = all_lines[line_no + 11]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
value_cache_addr = ''.join(reversed_numbers)
value_cache_addr = "0x" + value_cache_addr.lstrip('0')
addrs.append(value_cache_addr)
addr_line = all_lines[line_no + 14]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
slot_mapping_addr = ''.join(reversed_numbers)
slot_mapping_addr = "0x" + slot_mapping_addr.lstrip('0')
addrs.append(slot_mapping_addr)
return addrs
def process_rotary_embedding_kernel(all_lines, line_no):
addrs = []
addr_line = all_lines[line_no + 2]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
positions_addr = ''.join(reversed_numbers)
positions_addr = "0x" + positions_addr.lstrip('0')
addrs.append(positions_addr)
addr_line = all_lines[line_no + 5]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
query_addr = ''.join(reversed_numbers)
query_addr = "0x" + query_addr.lstrip('0')
addrs.append(query_addr)
addr_line = all_lines[line_no + 8]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
key_addr = ''.join(reversed_numbers)
key_addr = "0x" + key_addr.lstrip('0')
key_addr = get_base_addr(key_addr, key_offset)
addrs.append(key_addr)
addr_line = all_lines[line_no + 11]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
cos_sin_cache_addr = ''.join(reversed_numbers)
cos_sin_cache_addr = "0x" + cos_sin_cache_addr.lstrip('0')
addrs.append(cos_sin_cache_addr)
return addrs
def process_silu_and_mul_kernel(all_lines, line_no):
addrs = []
addr_line = all_lines[line_no + 2]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
out_addr = ''.join(reversed_numbers)
out_addr = "0x" + out_addr.lstrip('0')
addrs.append(out_addr)
addr_line = all_lines[line_no + 5]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
input_addr = ''.join(reversed_numbers)
input_addr = "0x" + input_addr.lstrip('0')
addrs.append(input_addr)
return addrs
def process_rms_norm_kernel(all_lines, line_no):
addrs = []
addr_line = all_lines[line_no + 2]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
out_addr = ''.join(reversed_numbers)
out_addr = "0x" + out_addr.lstrip('0')
addrs.append(out_addr)
addr_line = all_lines[line_no + 5]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
input_addr = ''.join(reversed_numbers)
input_addr = "0x" + input_addr.lstrip('0')
addrs.append(input_addr)
addr_line = all_lines[line_no + 8]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
weight_addr = ''.join(reversed_numbers)
weight_addr = "0x" + weight_addr.lstrip('0')
addrs.append(weight_addr)
return addrs
def process_vectorized_elementwise_kernel_onself(all_lines, line_no):
addrs = []
addr_line = all_lines[line_no + 8]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 8]
numbers = addr_line.split()
reversed_numbers = numbers[-8:][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
return addrs
def process_vectorized_elementwise_kernel_add(all_lines, line_no):
addrs = []
addr_line = all_lines[line_no + 8]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 8]
numbers = addr_line.split()
reversed_numbers = numbers[-8:][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 9]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
return addrs
def process_layer_norm_kernel(all_lines, line_no):
addrs = []
addr_line = all_lines[line_no + 8]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 11]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 14]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 17]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 20]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 23]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
return addrs
def process_vectorized_elementwise_kernel_gelu(all_lines, line_no):
addrs = []
addr_line = all_lines[line_no + 8]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 8]
numbers = addr_line.split()
reversed_numbers = numbers[-8:][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
return addrs
def process_cutlass_80_tensorop(all_lines, line_no):
addrs = []
addr_line = all_lines[line_no + 23]
numbers = addr_line.split()
reversed_numbers = numbers[-8:][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 24]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 24]
numbers = addr_line.split()
reversed_numbers = numbers[-8:][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 25]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
return addrs
def process_cutlass_80_tensorop_360(all_lines, line_no):
addrs = []
addr_line = all_lines[line_no + 19]
numbers = addr_line.split()
reversed_numbers = numbers[-8:][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 20]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 20]
numbers = addr_line.split()
reversed_numbers = numbers[-8:][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 21]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
return addrs
def loadGraphKernelNodeFuncParams_cublasGemv(all_lines, line_no):
addrs = []
addr_line = all_lines[line_no + 2]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 3]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 4]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 5]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
return addrs
def loadGraphKernelNodeFuncParams_cublasGemv_152(all_lines, line_no):
addrs = []
addr_line = all_lines[line_no + 2]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 3]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 4]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 5]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 8]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
return addrs
def loadGraphKernelNodeFuncParams_cublasGemv_152_2(all_lines, line_no):
addrs = []
addr_line = all_lines[line_no + 2]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 3]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
addr_line = all_lines[line_no + 5]
numbers = addr_line.split()
reversed_numbers = numbers[:8][::-1]
addr = ''.join(reversed_numbers)
addr = "0x" + addr.lstrip('0')
addrs.append(addr)
return addrs
def filter_all_malloc_free_lines(line, all_malloc_free_lines):
malloc_match = re.search(malloc_pattern, line)
free_match = re.search(free_pattern, line)
if malloc_match or free_match:
all_malloc_free_lines.append(line)
if line.find("=============== capture_begin ===============") != -1:
all_malloc_free_lines.append(line)
if line.find("=============== capture_end ===============") != -1:
all_malloc_free_lines.append(line)
def process_malloc_free_line(should_write_to_file, line, output_file, malloc_idx, address_to_malloc_idx_map, malloc_address):
match = re.search(malloc_pattern, line)
if match:
# 提取地址和大小
address = match.group(1)
size = match.group(2)
address_to_malloc_idx_map[address] = malloc_idx[0]
malloc_idx[0] = malloc_idx[0] + 1
malloc_address.append(address)
if should_write_to_file:
output_file.write(f"m {address_to_malloc_idx_map[address]} {size}\n")
else:
match = re.search(free_pattern, line)
if match:
# 提取地址
address = match.group(1)
idx = address_to_malloc_idx_map[address]
if should_write_to_file:
output_file.write(f"f {idx}\n")
else:
if line.find("=============== capture_begin ===============") != -1:
if should_write_to_file:
output_file.write(line)
elif line.find("=============== capture_end ===============") != -1:
if should_write_to_file:
output_file.write(line)
else:
print("No match found: ", line)
exit(-1)
def filter_all_nodes_lines(all_lines, all_nodes_lines):
idx = 0
begin_nodes = False
while idx < len(all_lines):
line = all_lines[idx]
if line.find("begin_nodes") != -1:
begin_nodes = True
if begin_nodes:
all_nodes_lines.append(line)
if line.find("end_nodes") != -1:
break
idx = idx + 1
def filter_dependency_nodes_lines(all_lines, dependency_nodes_lines):
idx = 0
begin_nodes = False
dependency_pattern = r"dependencies from_idx: (\d+), to_idx: (\d+)"
while idx < len(all_lines):
line = all_lines[idx]
match = re.search(dependency_pattern, line)
if match:
dependency_nodes_lines.append(line)
idx = idx + 1
def process_nodes_line(all_nodes_lines, ampere_nodes, memset_nodes, other_nodes, cublasssplitK_nodes, node_output_file):
line_no = 0
layer_no = 0
one_layer_nodes = []
one_layer_nodes_idx = 0
should_write_to_file = True
while line_no < len(all_nodes_lines):
line = all_nodes_lines[line_no]
if line.find("node type") != -1:
should_write_to_file = True
node_type = get_node_type(line)
node_idx = get_node_idx(line)
if node_type == 2:
addrs = process_memset_kernel(all_nodes_lines, line_no)
node = Node(node_idx, "memset")
node.addrs = addrs
memset_nodes.append(node)
if layer_no == 1:
one_layer_nodes.append(node)
if layer_no > 1:
layer_one_node = one_layer_nodes[one_layer_nodes_idx]
one_layer_nodes_idx = (one_layer_nodes_idx + 1) % len(one_layer_nodes)
if layer_one_node.name != "memset":
print("layer_one_node.name: ", layer_one_node.name, " not: ", "memset")
exit(-1)
else:
node_output_file.write(line)
node_output_file.write("============================\n")
should_write_to_file = False
if line.find("kernel_func.name") != -1:
name = get_node_func_name(line)
node = Node(node_idx, name)
if layer_no == 1:
one_layer_nodes.append(node)
if layer_no > 1:
layer_one_node = one_layer_nodes[one_layer_nodes_idx]
one_layer_nodes_idx = (one_layer_nodes_idx + 1) % len(one_layer_nodes)
if layer_one_node.name != name:
print("layer_one_node.name: ", layer_one_node.name, " not: ", name)
exit(-1)
else:
node_output_file.write(line)
node_output_file.write("============================\n")
should_write_to_file = False
if line.find("rotary_embedding_kernel") != -1:
layer_no = layer_no + 1
for i in range(12):
if should_write_to_file:
node_output_file.write(line)
line_no = line_no + 1
line = all_nodes_lines[line_no]
if name.find("ampere_fp16_s16816gemm_fp16_64x64_sliced1x2_ldg8_relu_f2f_stages_64x5_tn") != -1 or name.find("ampere_bf16_s16816gemm_bf16_64x64_sliced1x2_ldg8_relu_f2f_stages_64x5_tn") != -1 or name.find("ampere_bf16_s16816gemm_bf16_64x64_ldg8_relu_f2f_stages_64x5_tn") != -1 or name.find("ampere_bf16_s16816gemm_bf16_128x64_ldg8_relu_f2f_stages_32x6_tn") != -1 or name.find("ampere_bf16_s16816gemm_bf16_128x64_ldg8_relu_f2f_stages_64x4_tn") != -1 or name.find("ampere_bf16_s16816gemm_bf16_256x64_ldg8_relu_f2f_stages_64x3_tn") != -1 or name.find("ampere_bf16_s16816gemm_bf16_128x128_ldg8_relu_f2f_stages_64x3_tn") != -1 or name.find("ampere_bf16_s16816gemm_bf16_256x128_ldg8_relu_f2f_stages_64x3_tn") != -1 or name.find("ampere_bf16_s16816gemm_bf16_128x256_ldg8_relu_f2f_stages_64x3_tn") != -1 or name.find("ampere_bf16_s16816gemm_bf16_64x64_sliced1x2_ldg8_relu_f2f_stages_64x6_tn") != -1:
addrs = process_ampere_kernel_208(all_nodes_lines, line_no)
node.addrs = addrs
ampere_nodes.append(node)
elif name.find("ampere") != -1:
addrs = process_ampere_kernel(all_nodes_lines, line_no)
node.addrs = addrs
ampere_nodes.append(node)
elif name.find("_ZN7cutlass7Kernel2I66cutlass_80_tensorop_f16_s16816gemm_relu_f16_256x128_32x6_tn_align8EEvNT_6ParamsE") != -1 or name.find("_ZN7cutlass7Kernel2I65cutlass_80_tensorop_f16_s16816gemm_relu_f16_128x64_64x6_tn_align8EEvNT_6ParamsE") != -1 or name.find("_ZN7cutlass7Kernel2I66cutlass_80_tensorop_f16_s16816gemm_relu_f16_128x128_32x5_tn_align8EEvNT_6ParamsE") != -1 or name.find("_ZN7cutlass7Kernel2I67cutlass_80_tensorop_bf16_s16816gemm_relu_bf16_128x64_64x6_tn_align8EEvNT_6ParamsE") != -1:
addrs = process_cutlass_80_tensorop(all_nodes_lines, line_no)
node.addrs = addrs
ampere_nodes.append(node)
elif name.find("_ZN7cutlass7Kernel2I56cutlass_80_tensorop_s16816gemm_bf16_64x64_64x6_tn_align8EEvNT_6ParamsE") != -1 or name.find("_ZN7cutlass7Kernel2I68cutlass_80_wmma_tensorop_bf16_s161616gemm_bf16_32x32_128x2_tn_align8EEvNT_6ParamsE") != -1 or name.find("_ZN7cutlass7Kernel2I63cutlass_80_wmma_tensorop_s161616gemm_bf16_32x32_128x2_tn_align8EEvNT_6ParamsE") != -1 or name.find("_ZN7cutlass7Kernel2I57cutlass_80_tensorop_s16816gemm_bf16_64x128_64x4_tn_align8EEvNT_6ParamsE") != -1 or name.find("_ZN7cutlass7Kernel2I68cutlass_80_wmma_tensorop_bf16_s161616gemm_bf16_16x16_128x2_tn_align8EEvNT_6ParamsE") != -1:
addrs = process_cutlass_80_tensorop_360(all_nodes_lines, line_no)
node.addrs = addrs
ampere_nodes.append(node)
elif name.find("_ZN8internal5gemvx6kernelIii13__nv_bfloat16S2_S2_fLb0ELb1ELb1ELb0ELi7ELb0E18cublasGemvParamsExIi30cublasGemvTensorStridedBatchedIKS2_ES6_S4_IS2_EfEEENSt9enable_ifIXntT5_EvE4typeET11_") != -1:
addrs = loadGraphKernelNodeFuncParams_cublasGemv(all_nodes_lines, line_no)
node.addrs = addrs
ampere_nodes.append(node)
elif name.find("_Z17gemv2T_kernel_valIii13__nv_bfloat16S0_S0_fLi128ELi16ELi4ELi4ELb0ELb1E18cublasGemvParamsExIi30cublasGemvTensorStridedBatchedIKS0_ES4_S2_IS0_EfEEvT11_T4_S8_") != -1:
addrs = loadGraphKernelNodeFuncParams_cublasGemv_152(all_nodes_lines, line_no)
node.addrs = addrs
ampere_nodes.append(node)
elif name.find("_Z17gemv2T_kernel_valIii13__nv_bfloat16fffLi128ELi16ELi4ELi4ELb0ELb0E18cublasGemvParamsExIi30cublasGemvTensorStridedBatchedIKS0_ES2_IKfES2_IfEfEEvT11_T4_SA_") != -1:
addrs = loadGraphKernelNodeFuncParams_cublasGemv_152_2(all_nodes_lines, line_no)
node.addrs = addrs
ampere_nodes.append(node)
elif name.find("sm80_xmma_gemm") != -1:
addrs = process_sm80_kernel(all_nodes_lines, line_no)
node.addrs = addrs
ampere_nodes.append(node)
elif name.find("cublasLt19splitKreduce_kernel") != -1:
addrs = process_cublasSplitKreduce_kernel(all_nodes_lines, line_no)
node.addrs = addrs
ampere_nodes.append(node)
elif name.find("paged_attention_v1_kernel") != -1:
addrs = process_paged_attention_v1_kernel(all_nodes_lines, line_no)
node.addrs = addrs
other_nodes.append(node)
elif name.find("paged_attention_v2_kernel") != -1:
addrs = process_paged_attention_v2_kernel(all_nodes_lines, line_no)
node.addrs = addrs
other_nodes.append(node)
elif name.find("paged_attention_v2_reduce_kernel") != -1:
addrs = process_paged_attention_v2_reduce_kernel(all_nodes_lines, line_no)
node.addrs = addrs
other_nodes.append(node)
elif name.find("_ZN4vllm25fused_add_rms_norm_kernelIN3c104HalfEEEvPT_S4_PKS3_fii") != -1 or name.find("_ZN4vllm25fused_add_rms_norm_kernelIN3c108BFloat16EEEvPT_S4_PKS3_fii") != -1:
addrs = process_fused_add_rms_norm_kernel(all_nodes_lines, line_no)
node.addrs = addrs
other_nodes.append(node)
elif name.find("_ZN4vllm24reshape_and_cache_kernelIttLb0EEEvPKT_S3_PT0_S5_PKliiiiii") != -1 or name.find("_ZN4vllm24reshape_and_cache_kernelI13__nv_bfloat16S1_Lb0EEEvPKT_S4_PT0_S6_PKliiiiii") != -1:
addrs = process_reshape_and_cache_kernel(all_nodes_lines, line_no)
node.addrs = addrs
other_nodes.append(node)
elif name.find("_ZN4vllm23rotary_embedding_kernelIN3c104HalfELb1EEEvPKlPT_S6_PKS5_illiii") != -1 or name.find("_ZN4vllm23rotary_embedding_kernelIN3c108BFloat16ELb1EEEvPKlPT_S6_PKS5_illiii") != -1:
addrs = process_rotary_embedding_kernel(all_nodes_lines, line_no)
node.addrs = addrs
other_nodes.append(node)
elif name.find("_ZN4vllm19silu_and_mul_kernelIN3c104HalfEEEvPT_PKS3_i") != -1 or name.find("_ZN4vllm19silu_and_mul_kernelIN3c108BFloat16EEEvPT_PKS3_i") != -1:
addrs = process_silu_and_mul_kernel(all_nodes_lines, line_no)
node.addrs = addrs
other_nodes.append(node)
elif name.find("_ZN4vllm15rms_norm_kernelIN3c104HalfEEEvPT_PKS3_S6_fii") != -1 or name.find("_ZN4vllm15rms_norm_kernelIN3c108BFloat16EEEvPT_PKS3_S6_fii") != -1:
addrs = process_rms_norm_kernel(all_nodes_lines, line_no)
node.addrs = addrs
other_nodes.append(node)
elif name.find("_ZN2at6native29vectorized_elementwise_kernelILi4ENS0_21CUDAFunctorOnSelf_addIlEENS_6detail5ArrayIPcLi2EEEEEviT0_T1_") != -1 or name.find("_ZN2at6native29vectorized_elementwise_kernelILi4EZZZNS0_18GeluCUDAKernelImplERNS_18TensorIteratorBaseENS0_8GeluTypeEENKUlvE0_clEvENKUlvE2_clEvEUlN3c108BFloat16EE_NS_6detail5ArrayIPcLi2EEEEEviT0_T1_") != -1:
addrs = process_vectorized_elementwise_kernel_onself(all_nodes_lines, line_no)
node.addrs = addrs
other_nodes.append(node)
elif name.find("_ZN2at6native29vectorized_elementwise_kernelILi4ENS0_15CUDAFunctor_addIN3c104HalfEEENS_6detail5ArrayIPcLi3EEEEEviT0_T1_") != -1 or name.find("_ZN2at6native29vectorized_elementwise_kernelILi4ENS0_15CUDAFunctor_addIN3c108BFloat16EEENS_6detail5ArrayIPcLi3EEEEEviT0_T1_") != -1:
addrs = process_vectorized_elementwise_kernel_add(all_nodes_lines, line_no)
node.addrs = addrs
other_nodes.append(node)
elif name.find("_ZN2at6native53_GLOBAL__N__1aa0d23f_20_layer_norm_kernel_cu_9c5ada8a28vectorized_layer_norm_kernelIN3c104HalfEfEEviT0_PKT_S8_S8_PS5_S9_PS6_") != -1 or name.find("_ZN2at6native53_GLOBAL__N__1aa0d23f_20_layer_norm_kernel_cu_9c5ada8a28vectorized_layer_norm_kernelIN3c108BFloat16EfEEviT0_PKT_S8_S8_PS5_S9_PS6_") != -1 or name.find("_ZN2at6native53_GLOBAL__N__7ae05bd5_20_layer_norm_kernel_cu_9c5ada8a28vectorized_layer_norm_kernelIN3c108BFloat16EfEEviT0_PKT_S8_S8_PS5_S9_PS6_") != -1:
addrs = process_layer_norm_kernel(all_nodes_lines, line_no)
node.addrs = addrs
other_nodes.append(node)
elif name.find("_ZN2at6native29vectorized_elementwise_kernelILi4EZZZNS0_18GeluCUDAKernelImplERNS_18TensorIteratorBaseENS0_8GeluTypeEENKUlvE0_clEvENKUlvE1_clEvEUlN3c104HalfEE_NS_6detail5ArrayIPcLi2EEEEEviT0_T1_") != -1:
addrs = process_vectorized_elementwise_kernel_gelu(all_nodes_lines, line_no)
node.addrs = addrs
other_nodes.append(node)
if should_write_to_file:
node_output_file.write(line)
line_no = line_no + 1
def process_dependency_line(all_dependency_lines, dependency_output_file):
line_no = 0
dependency_pattern = r"dependencies from_idx: (\d+), to_idx: (\d+)"
while line_no < len(all_dependency_lines):
line = all_dependency_lines[line_no]
match = re.search(dependency_pattern, line)