From fe895e5cba4f621f235c764a36c9d9e775c41141 Mon Sep 17 00:00:00 2001
From: shreyasgrampurohit <shreyasg0512@gmail.com>
Date: Fri, 23 Jun 2023 18:14:14 +0530
Subject: [PATCH] Train file runs without errors

---
 acme/acme/requirements.txt                    |  42 ++--
 .../envs/__pycache__/__init__.cpython-39.pyc  | Bin 151 -> 159 bytes
 arch_gym/envs/custom_gym.py                   |  12 +-
 arch_gym/envs/customenv_wrapper.py            |   2 +-
 .../num_steps_100_num_episodes_2/fitness.csv  | 200 ++++++++++++++++++
 .../trajectory.csv                            | 200 ++++++++++++++++++
 6 files changed, 428 insertions(+), 28 deletions(-)

diff --git a/acme/acme/requirements.txt b/acme/acme/requirements.txt
index fa697499..59d4dae9 100644
--- a/acme/acme/requirements.txt
+++ b/acme/acme/requirements.txt
@@ -1,29 +1,29 @@
-jax==0.3.6
-gym
-dm-haiku
-atari-py
-numpy==1.22.4
-rlax
-tensorflow-estimator==2.8.0
+absl-py
+jaxlib==0.3.5
+bsuite
 tensorflow_probability==0.15.0
-gym[atari]
 dm-env
-trfl
+jax==0.3.6
 optax
-flax
-typing-extensions
-bsuite
-dm-reverb==0.7.2
 rlds
-chex
-keras==2.8.0
-dm-sonnet
-tensorflow==2.8.0
-pillow
 dm-control==0.0.364896371
+atari-py
+gym
+pillow
+gym[atari]
+dm-haiku
+dm-sonnet
+dm-launchpad==0.5.2
 pygame==2.1.0
-jaxlib==0.3.5
+typing-extensions
 tensorflow-datasets==4.5.2
-dm-launchpad==0.5.2
-absl-py
+chex
+rlax
+tensorflow==2.8.0
+tensorflow-estimator==2.8.0
 dm-tree
+flax
+keras==2.8.0
+numpy==1.22.4
+trfl
+dm-reverb==0.7.2
diff --git a/arch_gym/envs/__pycache__/__init__.cpython-39.pyc b/arch_gym/envs/__pycache__/__init__.cpython-39.pyc
index d74060b6da12f3a34481ebffce2be20e410ff2a7..f0abc004fcd5e09639fa91811151f5d0a5b560ab 100644
GIT binary patch
delta 63
zcmbQvIG>R_k(ZZ?0SI(ircUIx(Qwhv$j?pHFU}}RtxPP|cgasK%}vcKDc1K04f6`p
R&o3_4O)N^z(4ClW000<H6C3~l

delta 55
zcmbQwIGvF@k(ZZ?0SJP#r%dFwQLxd^$j?pH&#N%2NHsFn&qypPODsy!&o3^HPb^B#
Jh@Y5m005P85ZeF%

diff --git a/arch_gym/envs/custom_gym.py b/arch_gym/envs/custom_gym.py
index 3f06e749..cb2290aa 100644
--- a/arch_gym/envs/custom_gym.py
+++ b/arch_gym/envs/custom_gym.py
@@ -6,9 +6,9 @@ class ExampleEnv(Env):
     def __init__(self):
         super(ExampleEnv, self).__init__()
 
-        self.energy = 0.0;
-        self.area = 0.0;
-        self.latency = 0.0;
+        self.energy = 0.0
+        self.area = 0.0
+        self.latency = 0.0
     
         self.ideal = {'num_cores':4, 'freq':2.0, 'mem_type':'SRAM', 'mem_size':32}
 
@@ -42,9 +42,9 @@ def step(self, action):
         return observation, reward, done, {}
 
     def reset(self):
-        self.energy = 0.0;
-        self.area = 0.0;
-        self.latency = 0.0;
+        self.energy = 0.0
+        self.area = 0.0
+        self.latency = 0.0
         return np.array([self.energy, self.area, self.latency], dtype=np.float32)
 
     def render(self, mode='human'):
diff --git a/arch_gym/envs/customenv_wrapper.py b/arch_gym/envs/customenv_wrapper.py
index 05ad05b4..85d24e1f 100644
--- a/arch_gym/envs/customenv_wrapper.py
+++ b/arch_gym/envs/customenv_wrapper.py
@@ -15,7 +15,7 @@
 """Wraps an OpenAI Gym environment to be used as a dm_env environment."""
 
 from typing import Any, Dict, List, Optional
-
+import acme
 from acme import specs
 from acme import types
 from acme import wrappers
diff --git a/sims/CustomEnv/random_walker_logs/num_steps_100_num_episodes_2/fitness.csv b/sims/CustomEnv/random_walker_logs/num_steps_100_num_episodes_2/fitness.csv
index d1f28aa9..8e35e536 100644
--- a/sims/CustomEnv/random_walker_logs/num_steps_100_num_episodes_2/fitness.csv
+++ b/sims/CustomEnv/random_walker_logs/num_steps_100_num_episodes_2/fitness.csv
@@ -798,3 +798,203 @@
 -27.065975
 ""
 -18.073322
+""
+-35.182365
+""
+-26.040257
+""
+-10.075645
+""
+-26.492504
+""
+-29.135979
+""
+-21.480282
+""
+-14.252707
+""
+-13.0846195
+""
+-40.151657
+""
+-20.440308
+""
+-27.134571
+""
+-15.33428
+""
+-13.009749
+""
+-18.27842
+""
+-20.210276
+""
+-26.175743
+""
+-38.2924
+""
+-38.160294
+""
+-31.030537
+""
+-12.02388
+""
+-27.118036
+""
+-12.171343
+""
+-29.114782
+""
+-23.202291
+""
+-29.291946
+""
+-28.031576
+""
+-31.403015
+""
+-27.043924
+""
+-37.173367
+""
+-25.301727
+""
+-31.000439
+""
+-23.03843
+""
+-24.186733
+""
+-5.100069
+""
+-4.1769805
+""
+-36.07997
+""
+-31.064535
+""
+-18.29602
+""
+-8.001272
+""
+-38.028236
+""
+-21.4882
+""
+-41.260082
+""
+-32.13735
+""
+-24.050396
+""
+-14.356946
+""
+-15.908338
+""
+-25.170448
+""
+-31.126595
+""
+-26.124956
+""
+-14.148241
+""
+-40.152824
+""
+-16.754744
+""
+-11.630089
+""
+-21.048923
+""
+-23.11937
+""
+-29.071375
+""
+-41.14492
+""
+-41.26009
+""
+-15.297247
+""
+-15.297331
+""
+-12.845853
+""
+-20.027363
+""
+-12.172613
+""
+-38.286316
+""
+-27.016464
+""
+-28.114689
+""
+-25.039745
+""
+-19.488203
+""
+-24.00089
+""
+-18.342125
+""
+-19.488602
+""
+-12.903004
+""
+-20.109213
+""
+-18.067745
+""
+-27.036766
+""
+-17.015455
+""
+-19.235909
+""
+-12.045872
+""
+-27.037733
+""
+-15.297857
+""
+-25.298977
+""
+-14.154985
+""
+-6.246656
+""
+-11.446793
+""
+-30.000221
+""
+-39.18446
+""
+-37.022896
+""
+-27.117481
+""
+-14.609314
+""
+-27.11789
+""
+-17.294422
+""
+-4.249074
+""
+-40.163174
+""
+-30.050438
+""
+-33.094193
+""
+-34.194897
+""
+-19.848984
+""
+-33.19488
+""
+-37.18328
+""
+-13.605553
diff --git a/sims/CustomEnv/random_walker_logs/num_steps_100_num_episodes_2/trajectory.csv b/sims/CustomEnv/random_walker_logs/num_steps_100_num_episodes_2/trajectory.csv
index fd79816d..50ac6ba6 100644
--- a/sims/CustomEnv/random_walker_logs/num_steps_100_num_episodes_2/trajectory.csv
+++ b/sims/CustomEnv/random_walker_logs/num_steps_100_num_episodes_2/trajectory.csv
@@ -798,3 +798,203 @@
 [-27.065975],"(3, array([0.8830744], dtype=float32), 2, 15)","[array(1, dtype=int32), array([1.1169256], dtype=float32), array(17, dtype=int32)]"
 ,"(4, array([0.6637303], dtype=float32), 0, 28)",[0. 0. 0.]
 [-18.073322],"(3, array([2.4225504], dtype=float32), 2, 24)","[array(1, dtype=int32), array([0.42255044], dtype=float32), array(8, dtype=int32)]"
+,"(0, array([1.0963353], dtype=float32), 1, 26)",[0. 0. 0.]
+[-35.182365],"(1, array([1.610886], dtype=float32), 2, 7)","[array(3, dtype=int32), array([0.38911402], dtype=float32), array(25, dtype=int32)]"
+,"(0, array([2.4930983], dtype=float32), 2, 9)",[0. 0. 0.]
+[-26.040257],"(5, array([0.9535932], dtype=float32), 1, 6)","[array(1, dtype=int32), array([1.0464067], dtype=float32), array(26, dtype=int32)]"
+,"(0, array([1.6956581], dtype=float32), 1, 9)",[0. 0. 0.]
+[-10.075645],"(4, array([0.76766944], dtype=float32), 1, 42)","[array(0, dtype=int32), array([1.2323306], dtype=float32), array(10, dtype=int32)]"
+,"(3, array([1.1380862], dtype=float32), 0, 1)",[0. 0. 0.]
+[-26.492504],"(0, array([1.9483213], dtype=float32), 0, 48)","[array(4, dtype=int32), array([0.05167866], dtype=float32), array(16, dtype=int32)]"
+,"(3, array([1.7969593], dtype=float32), 2, 16)",[0. 0. 0.]
+[-29.135979],"(2, array([0.91112137], dtype=float32), 0, 51)","[array(2, dtype=int32), array([1.0888786], dtype=float32), array(19, dtype=int32)]"
+,"(6, array([1.0831741], dtype=float32), 1, 9)",[0. 0. 0.]
+[-21.480282],"(7, array([0.65952754], dtype=float32), 2, 43)","[array(3, dtype=int32), array([1.3404725], dtype=float32), array(11, dtype=int32)]"
+,"(0, array([2.3985102], dtype=float32), 1, 52)",[0. 0. 0.]
+[-14.252707],"(1, array([1.7075721], dtype=float32), 2, 35)","[array(3, dtype=int32), array([0.2924279], dtype=float32), array(3, dtype=int32)]"
+,"(7, array([1.5947583], dtype=float32), 2, 24)",[0. 0. 0.]
+[-13.0846195],"(3, array([0.90124565], dtype=float32), 1, 45)","[array(1, dtype=int32), array([1.0987544], dtype=float32), array(13, dtype=int32)]"
+,"(5, array([2.0895982], dtype=float32), 0, 20)",[0. 0. 0.]
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+,"(7, array([1.1565433], dtype=float32), 1, 21)",[0. 0. 0.]
+[-20.440308],"(7, array([1.9977164], dtype=float32), 0, 22)","[array(3, dtype=int32), array([0.00228357], dtype=float32), array(10, dtype=int32)]"
+,"(5, array([1.7585338], dtype=float32), 0, 21)",[0. 0. 0.]
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+,"(0, array([1.838407], dtype=float32), 1, 54)",[0. 0. 0.]
+[-15.33428],"(1, array([0.9322251], dtype=float32), 1, 17)","[array(3, dtype=int32), array([1.0677749], dtype=float32), array(15, dtype=int32)]"
+,"(3, array([1.3284929], dtype=float32), 0, 62)",[0. 0. 0.]
+[-13.009749],"(4, array([1.4964293], dtype=float32), 1, 19)","[array(0, dtype=int32), array([0.5035707], dtype=float32), array(13, dtype=int32)]"
+,"(3, array([0.54916], dtype=float32), 2, 17)",[0. 0. 0.]
+[-18.27842],"(2, array([1.2704695], dtype=float32), 2, 40)","[array(2, dtype=int32), array([0.72953045], dtype=float32), array(8, dtype=int32)]"
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+,"(6, array([1.9664254], dtype=float32), 2, 43)",[0. 0. 0.]
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