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Update PR-20 - add improved candidate generation techniques and selector can take best of bread if not self refine is used for text generation #33

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Update PR-20 - add improved candidate generation techniques and selector can take best of bread if not self refine is used for text generation #33

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80faef5
a subclassed optimizer from OptoPrime to allow multiple candidates pe…
doxav Nov 28, 2024
6e8ff95
expose opto-prime multi's config API to the class construction. Add c…
allenanie Dec 24, 2024
16fdfee
updated the __init__ and function signature
allenanie Dec 31, 2024
2423545
add improved candidate generation techniques and selector can take be…
doxav Jan 16, 2025
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12 changes: 9 additions & 3 deletions examples/textgrad_examples/evals/textgrad_solution_optimization.py
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
# This script applies Trace to optimize the workflow in TextGrad's solution_optimization.py.

from opto import trace
from opto.optimizers import OptoPrime, TextGrad
from opto.optimizers import OptoPrime, TextGrad, OptoPrimeMulti

import re
import json
Expand Down Expand Up @@ -162,6 +162,12 @@ def run_trace_test_time_training(sample):
if args.algo == "textgrad":
# This runs Trace's TextGrad optimizer
optimizer = TextGrad([instance_var], max_tokens=16383)
elif args.algo == 'opto_multi':
# This runs Trace's OptoPrimeMulti optimizer
optimizer = OptoPrimeMulti([instance_var],
prompt_symbols={'variables': '#Parameters'},
num_responses=3,
max_tokens=16383)
else: # This runs Trace's OptoPrime optimizer
optimizer = OptoPrime([instance_var],
prompt_symbols={'variables': '#Parameters'},
Expand Down Expand Up @@ -215,7 +221,7 @@ def backfill(regret, maxlen):


args = config()
assert args.algo in ["textgrad", "trace", "ttextgrad"], "ttextgrad is Trace's implementation textgrad"
assert args.algo in ["textgrad", "trace", "ttextgrad", 'opto_multi'], "ttextgrad is original implementation textgrad"

llm_engine = tg.get_engine(engine_name=args.engine)
tg.set_backward_engine(llm_engine, override=True)
Expand All @@ -228,7 +234,7 @@ def backfill(regret, maxlen):
with concurrent.futures.ThreadPoolExecutor(max_workers=args.num_threads) as executor:
futures = []
for i, sample in enumerate(test_set):
if args.algo in ["trace", 'textgrad']:
if args.algo in ["trace", 'textgrad', 'opto_multi']:
future = executor.submit(run_trace_test_time_training, sample)
else:
future = executor.submit(run_test_time_training, sample)
Expand Down
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