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Update scripts

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This commit is contained in:
augustin64 2023-01-17 15:08:47 +01:00
parent ac5c9c12c9
commit f468883eb1
2 changed files with 33 additions and 6 deletions
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17
src/scripts/benchmark_mul.py
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@ -70,8 +70,21 @@ def plot_temps_exec(data):
GPUtime = [i["GPUtime"] for i in data]
CPUtime = [i["CPUtime"] for i in data]
plt.plot(x, GPUtime)
plt.plot(x, CPUtime)
fig, ax = plt.subplots()
#ax.set_yscale("log")
gputime, = ax.plot(x, GPUtime)
cputime, = ax.plot(x, CPUtime)
gputime.set_label("Temps GPU")
cputime.set_label("Temps CPU")
ax.set_ylabel("Temps d'exécution (secondes)")
ax.set_xlabel("Taille de la matrice d'entrée")
ax.legend()
plt.grid(True)
plt.show()
def plot_erreur(data):

22
src/scripts/visualisation.py
View File

@ -28,7 +28,7 @@ def image_from_file(filepath, dest="./images/"):
png.from_array(data[i], 'L').save(os.path.join(dest, f"{i}.png"))
def image_from_list(filepath, dest="data.png", exp=False):
def image_from_list(filepath, exp=False):
"""
Enregistre une liste de poids sous forme d'une image
exp sert à spécifier si il faut passer à une forme exponentielle
@ -54,13 +54,13 @@ def image_from_list(filepath, dest="data.png", exp=False):
for j in range(IMAGE_HEIGHT):
new_data[i][j] = data[i*IMAGE_HEIGHT+j]
png.from_array(new_data, 'L').save(dest)
return new_data
def graph_from_test_reseau(erreurs, reussites):
"""
Affiche un graphique à partir d'un fichier contenant les
réussites et d'un autre contenant les erreurs (sortie brutes de out/main)
réussites et d'un autre contenant les erreurs (sortie brutes de out/mnist_main)
"""
with open(erreurs, "r", encoding="utf8") as f:
data = f.read()
@ -113,7 +113,21 @@ def images_neurons(neurons, dest="neurons", exp=False):
Afin de créer un ensemble d'image visualisant les poids
"""
os.makedirs(dest, exist_ok=True)
data = []
for i in neurons:
os.system(f"./make.sh utils print-poids-neurone --reseau \
.cache/reseau.bin --neurone {i} > .cache/poids.txt")
image_from_list(".cache/poids.txt", os.path.join(dest, f"{i}.png"), exp=exp)
data.append(image_from_list(".cache/poids.txt", exp=exp))
new_data = data.copy()
for i, _ in enumerate(new_data):
for j, _ in enumerate(new_data[i]):
for k, _ in enumerate(new_data[i][j]):
for l, _ in enumerate(new_data):
if i != l:
new_data[i][j][k] -= data[l][j][k] * 0.11
new_data[i][j][k] = max(int(new_data[i][j][k]), 0)
for i in neurons:
png.from_array(data[i], 'L').save(os.path.join(dest, f"{i}.png"))