bandwidth

Rapport/Bandwidth/plot.py

@@ -13,6 +13,26 @@ plt.scatter(X, Y_CPY, color="b", marker="x", label="RISCV COPY")
 plt.scatter(X, YA_MEM, color="r", label="ARM MEM")
 plt.scatter(X, YA_CPY, color="r",marker="x", label="ARM COPY")
 
+x = np.array(X).reshape(-1, 1)
+y = np.array(Y_MEM).reshape(-1, 1)
+y2 = np.array(YA_MEM).reshape(-1, 1)
+reg = LinearRegression().fit(x, y)
+reg2 = LinearRegression().fit(x, y2)
+print("score obtenu : " + str(reg.score(x, y)))
+print("score obtenu : " + str(reg2.score(x, y2)))
+print("attente à zéro : {}".format(reg.intercept_))
+print("attente à zéro : {}".format(reg2.intercept_))
+
+x_lin = [0, max(X)]
+y_lin = [reg.predict(np.array([0]).reshape(-1, 1)), reg.predict(np.array([x_lin[1]]).reshape(-1, 1))]
+y_lin2 = [reg2.predict(np.array([0]).reshape(-1, 1)), reg2.predict(np.array([x_lin[1]]).reshape(-1, 1))]
+y_lin = [y_lin[0][0][0], y_lin[1][0][0]]
+y_lin2 = [y_lin2[0][0][0], y_lin2[1][0][0]]
+
+plt.plot(x_lin, y_lin, color = "b", label="RegLin score : {:.4f}".format(reg.score(x, y)))
+plt.plot(x_lin, y_lin2, color = "r", label="RegLin score : {:.4f}".format(reg2.score(x, y2)))
+
+
 plt.xlim([0, 1024])
 plt.ylim([50, 32000])
 plt.legend()

proj_quartus/db/test.db_info

@@ -1,3 +1,3 @@
 Quartus_Version = Version 22.1std.0 Build 915 10/25/2022 SC Standard Edition
 Version_Index = 553882368
-Creation_Time = Thu Mar  9 10:59:19 2023
+Creation_Time = Thu Mar  9 16:31:59 2023