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Merge pull request #457 from bwasti/sweep_code
Check in code used to generate plots for loop_tool in paper
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# Copyright (c) Facebook, Inc. and its affiliates. | ||
# | ||
# This source code is licensed under the MIT license found in the | ||
# LICENSE file in the root directory of this source tree. | ||
import sys | ||
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import compiler_gym | ||
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names = ["toggle_mode", "up", "down", "toggle_thread"] | ||
actions = [3, 0, 1, 3, 0] | ||
base = 1024 * 512 | ||
K = int(sys.argv[1]) * base | ||
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vectorize = int(sys.argv[2]) | ||
run_log = int(sys.argv[3]) | ||
with compiler_gym.make("loop_tool-v0") as env: | ||
env.reset( | ||
benchmark=env.datasets.benchmark(uri="benchmark://loop_tool-v0/{}".format(K)), | ||
action_space="simple", | ||
) | ||
if vectorize - 1: | ||
vs = [1] * (vectorize - 1) | ||
actions += vs + [0, 1, 0] + vs + [0, 2, 0] | ||
for a in actions: | ||
o = env.step(a) | ||
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if run_log: | ||
env.observation_space = "action_state" | ||
inner = 1 | ||
step = 512 | ||
for i in range(1, step): | ||
o = env.step(1) | ||
inner += 1 | ||
while inner * vectorize < K: | ||
env.observation_space = "loop_tree" | ||
for i in range(step): | ||
if i == step - 1: | ||
env.observation_space = "flops" | ||
o = env.step(1) | ||
inner += 1 | ||
print(f"{K}, {inner}, {vectorize}: {o[0]}", flush=True) | ||
step *= 2 | ||
else: | ||
for i in range(K // (vectorize * 1024)): | ||
env.observation_space = "action_state" | ||
for j in range(1022 if i == 0 else 1023): | ||
o = env.step(1) | ||
env.observation_space = "flops" | ||
o = env.step(1) | ||
print(f"{K}, {(i + 1) * 1024}, {vectorize}: {o[0]}", flush=True) |
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#!/bin/bash | ||
# Copyright (c) Facebook, Inc. and its affiliates. | ||
# | ||
# This source code is licensed under the MIT license found in the | ||
# LICENSE file in the root directory of this source tree. | ||
set -ve | ||
mkdir -p results | ||
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python run_loop_tool_sweep.py 1 4 1 | tee results/s1_v4_log.txt | ||
python run_loop_tool_sweep.py 1 1 1 | tee results/s1_v1_log.txt | ||
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python run_loop_tool_sweep.py 2 4 1 | tee results/s2_v4_log.txt | ||
python run_loop_tool_sweep.py 2 1 1 | tee results/s2_v1_log.txt | ||
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python run_loop_tool_sweep.py 4 4 1 | tee results/s4_v4_log.txt | ||
python run_loop_tool_sweep.py 4 1 1 | tee results/s4_v1_log.txt | ||
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python run_loop_tool_sweep.py 8 4 1 | tee results/s8_v4_log.txt | ||
python run_loop_tool_sweep.py 8 1 1 | tee results/s8_v1_log.txt | ||
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python run_loop_tool_sweep.py 16 4 1 | tee results/s16_v4_log.txt | ||
python run_loop_tool_sweep.py 16 1 1 | tee results/s16_v1_log.txt | ||
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python run_loop_tool_sweep.py 1 4 0 | tee results/s1_v4_linear.txt | ||
python run_loop_tool_sweep.py 1 1 0 | tee results/s1_v1_linear.txt | ||
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python run_loop_tool_sweep.py 2 4 0 | tee results/s2_v4_linear.txt | ||
python run_loop_tool_sweep.py 2 1 0 | tee results/s2_v1_linear.txt | ||
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python run_loop_tool_sweep.py 4 4 0 | tee results/s4_v4_linear.txt | ||
python run_loop_tool_sweep.py 4 1 0 | tee results/s4_v1_linear.txt | ||
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python run_loop_tool_sweep.py 8 4 0 | tee results/s8_v4_linear.txt | ||
python run_loop_tool_sweep.py 8 1 0 | tee results/s8_v1_linear.txt |