Refactor ice40 timing fuzzer used to create delay estimates

Signed-off-by: Clifford Wolf <clifford@clifford.at>

1 files changed, 69 insertions, 0 deletions

diff --git a/ice40/tmfuzz.py b/ice40/tmfuzz.py
new file mode 100644
index 00000000..0f725932
--- /dev/null
+++ b/ice40/tmfuzz.py
@@ -0,0 +1,69 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+# ../nextpnr-ice40 --hx8k --tmfuzz > tmfuzz_hx8k.txt
+
+import numpy as np
+import matplotlib.pyplot as plt
+from collections import defaultdict
+
+device = "hx8k"
+sel_src_type = "LUTFF_OUT"
+sel_dst_type = "LUTFF_IN_LUT"
+
+src_dst_pairs = defaultdict(lambda: 0)
+
+delay_data = list()
+delay_map_sum = np.zeros((41, 41))
+delay_map_sum2 = np.zeros((41, 41))
+delay_map_count = np.zeros((41, 41))
+
+with open("tmfuzz_%s.txt" % device, "r") as f:
+    for line in f:
+        line = line.split()
+
+        if line[0] == "dst":
+            dst_xy = (int(line[1]), int(line[2]))
+            dst_type = line[3]
+            dst_wire = line[4]
+
+        src_xy = (int(line[1]), int(line[2]))
+        src_type = line[3]
+        src_wire = line[4]
+
+        delay = int(line[5])
+        estdelay = int(line[6])
+
+        src_dst_pairs[src_type, dst_type] += 1
+
+        if src_type == sel_src_type and dst_type == sel_dst_type:
+            delay_data.append((delay, estdelay))
+            relx = 20 + dst_xy[0] - src_xy[0]
+            rely = 20 + dst_xy[1] - src_xy[1]
+
+            if (0 <= relx <= 40) and (0 <= rely <= 40):
+                delay_map_sum[relx, rely] += delay
+                delay_map_sum2[relx, rely] += delay*delay
+                delay_map_count[relx, rely] += 1
+
+delay_data = np.array(delay_data)
+
+#%%
+
+print("Src-Dst-Type pair summary:")
+for cnt, src, dst in sorted([(v, k[0], k[1]) for k, v in src_dst_pairs.items()]):
+    print("%20s %20s %5d%s" % (src, dst, cnt, " *" if src == sel_src_type and dst == sel_dst_type else ""))
+print()
+
+#%%
+
+plt.figure()
+plt.imshow(delay_map_sum / delay_map_count)
+plt.colorbar()
+plt.show()
+
+#%%
+
+plt.figure()
+plt.plot(delay_data[:,0], delay_data[:,1], ".")
+plt.show()
+