filmo

# set of actions for which a system would require additional confirmation from the user
ACTIONS_REQUIRING_CONFIRMATION = [
    "saving a file to disk",
    "executing a file",
    "stopping a computer process",
]


# This function takes the original user input and attempts to determine if any actions are being requested
# that require human confirmation. This is more flexible the searching for a string literal.

filmo

# llm is a valid OpenAI|Ollama object
# Settings.embed_model is a valid "nomic-embed-text" embedding model producing 768-d vectors

# This code works and 'default_vector_store.json' contains the embeddings 
documents = SimpleDirectoryReader(
	"data/DIR_WORD_DOCs",
	filename_as_id=False,
	file_extractor={'.docx':DocxReader()}
).load_data(num_workers=num_workers)

filmo

On line 35 shuffle is imported from sklearn

from sklearn.utils import shuffle

and then later called inside the data generator with:

shuffle(keys)

However, shuffle from sklearn does ~not~ shuffle in-place. It returns a shuffled list, leaving the input parameter untouched.

filmo

import numpy as np
np.set_printoptions(precision=4,suppress=True,linewidth=180)

def clamp(n, min, max):
    if n < min:
        return min
    if n > max:
        return max
    return n

filmo

Used a 2-layer Fully Connected network with H1=100, H2=60 and ReLU

He Initialization of weights
Adam Optimizer. Initial learning rate = 0.001 Learning rate reduced using gamma of 0.50 every 350 episodes

Gamma = 0.99
Eps   = 1.00
Eps Decay = 0.98
Eps Decay every new episode. (not each step)

filmo

q_learning walkthrough. GATech OMSCS. (School policy prohibits our publishing code for honor policy)

filmo

Used Value Iteration as shown in class walkthrough. (School policy prohibits us showing code for honor policy.)
GATech OMSCS

filmo

philglau (master *) pr1 $ python submit.py gfserver
Tests that the client properly sends an ERROR response.:                  failed
Tests that the server properly sends an OK response and medium messag:    failed
Tests that the server properly sends an OK response and a long messag:    failed
Tests that the server properly sends an OK response and a short messa:    failed
Tests that the server compiles:                                           passed
Tests that the server properly handles a gfs_abort call.:                 passed
Tests that the server properly sends a FILE_NOT_FOUND response.:          passed
Tests that the server properly handles a malformed request.:              passed
Tests that the server properly handles a malformed request.:              passed

filmo

philglau (master) pr1 $ vagrant up
Bringing machine 'default' up with 'virtualbox' provider...
==> default: Box 'ubuntu/xenial64' could not be found. Attempting to find and install...
    default: Box Provider: virtualbox
    default: Box Version: >= 0
==> default: Loading metadata for box 'ubuntu/xenial64'
    default: URL: https://atlas.hashicorp.com/ubuntu/xenial64
==> default: Adding box 'ubuntu/xenial64' (v20160826.0.0) for provider: virtualbox
    default: Downloading: https://atlas.hashicorp.com/ubuntu/boxes/xenial64/versions/20160826.0.0/providers/virtualbox.box
==> default: Successfully added box 'ubuntu/xenial64' (v20160826.0.0) for 'virtualbox'!

filmo

make

g++ -DCUDNN_ENABLED -O3 -fPIC -Wall -Wfatal-errors -D_FORCE_INLINES -I./include -I/usr/local/cuda-7.5/include -c -o src/nnet/conv_bc01_matmul.o src/nnet/conv_bc01_matmul.cpp
nvcc -gencode arch=compute_20,code=sm_20 -gencode arch=compute_20,code=compute_20 -gencode arch=compute_30,code=sm_30 -gencode arch=compute_30,code=compute_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_35,code=compute_35 -O3 --compiler-options '-DCUDNN_ENABLED -O3 -fPIC -Wall -Wfatal-errors -D_FORCE_INLINES' --ftz=true --prec-div=false -prec-sqrt=false --fmad=true -I./include -I/usr/local/cuda-7.5/include -c -o src/nnet/pool_b01.o src/nnet/pool_b01.cu
g++ -DCUDNN_ENABLED -O3 -fPIC -Wall -Wfatal-errors -D_FORCE_INLINES -I./include -I/usr/local/cuda-7.5/include -c -o src/nnet/cudnn.o src/nnet/cudnn.cpp
nvcc -gencode arch=compute_20,code=sm_20 -gencode arch=compute_20,code=compute_20 -gencode arch=compute_30,code=sm_30 -gencode arch=compute_30,code=compute_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_35,c