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Basic performance logging for Llama python runner #8862

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Merged
merged 2 commits into from
Mar 3, 2025
Merged

Basic performance logging for Llama python runner #8862

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54cf389
Add basic performance metrics to native llama runner
jackzhxng Mar 1, 2025
6974b76
Merge branch 'main' into jz/native-runner-perf
jackzhxng Mar 1, 2025
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8 changes: 8 additions & 0 deletions examples/models/llama/runner/generation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,7 @@
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.

import time
from abc import ABC, abstractmethod
from typing import List, Optional

Expand Down Expand Up @@ -97,6 +98,7 @@ def generate( # noqa: C901
pos_base: int = 0,
) -> List[int]:
# Prefill
prefill_start = time.time()
logits = self.forward(
tokens=torch.tensor([prompt_tokens], dtype=torch.long, device=self.device),
input_pos=(
Expand All @@ -105,11 +107,13 @@ def generate( # noqa: C901
else None
),
)
prefill_time = time.time() - prefill_start

current_token = next_token(logits, temperature, top_p)
print(f"{self.tokenizer.decode_token(current_token)}", end="", flush=True)
tokens = prompt_tokens + [current_token]

generate_start = time.time()
while len(tokens) < max_seq_len:
if self.use_kv_cache:
logits = self.forward(
Expand Down Expand Up @@ -140,6 +144,10 @@ def generate( # noqa: C901
print(f"{self.tokenizer.decode_token(current_token)}", end="", flush=True)
print("\n")

generate_time = time.time() - generate_start
print(f"Prefill time: {prefill_time}")
print(f"Generation tok/s: {len(tokens) / generate_time}")

return tokens if echo else tokens[len(prompt_tokens) :]

def text_completion(
Expand Down
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