feat: add legend

AlibabaPAI · Sep 20, 2024 · c694a41 · c694a41
1 parent 9853d86
commit c694a41
Showing 1 changed file with 20 additions and 4 deletions.
diff --git a/tools/plot_mem.py b/tools/plot_mem.py
@@ -229,7 +229,7 @@ def plot_tensor_lifecycle(tensors: dict, allocations: dict):
         ax.text(
             1.02,
             start + size * count / 2,
-            f"Count: {count}\nSize: {size} bytes ({size/1024/1024/1024:.2f} GB)\nTotal: {size * count} bytes ({size * count/1024/1024/1024:.2f} GB)",
+            f"Buffer Count: {count}\nSize: {size} bytes ({size/1024/1024/1024:.2f} GB)\nTotal: {size * count} bytes ({size * count/1024/1024/1024:.2f} GB)",
             fontsize=6,
             ha='left',
             va='center',
@@ -241,7 +241,23 @@ def plot_tensor_lifecycle(tensors: dict, allocations: dict):
 
     times = sorted(buffer_usage.keys())
     usages = [buffer_usage[t] for t in times]
-    ax.plot(times, usages, color='Slateblue', linewidth=2, alpha=0.6)
+    ax.plot(
+        times,
+        usages,
+        color='Slateblue',
+        linewidth=2,
+        alpha=0.6,
+        label='Actual Total Tensor Mem Usage')
+    ax.plot([], [],
+            color='skyblue',
+            linewidth=2,
+            alpha=0.6,
+            label='Tensor Lifetime and Mem Usage')
+    ax.plot([], [],
+            color='red',
+            linewidth=2,
+            alpha=0.6,
+            label='Buffer Allocation')
 
     ax.annotate(
         f"Time: {peak_time}\nActual Usage: {peak_usage} bytes ({peak_usage/1024/1024/1024:.2f} GB)",
@@ -256,7 +272,7 @@ def plot_tensor_lifecycle(tensors: dict, allocations: dict):
     ax.set_ylim(0, max(max_buffer_size, peak_usage * 1.4))
     ax.set_xlabel('Time')
     ax.set_ylabel('Buffer Size (bytes)')
-    ax.set_title('Tensor Lifecycle and Buffer Usage')
+    ax.set_title('Tensor Lifecycle and Buffer Usage', pad=10)
 
     y_ticks = ax.get_yticks()
     ax.set_yticks(y_ticks)
@@ -276,7 +292,7 @@ def plot_tensor_lifecycle(tensors: dict, allocations: dict):
 
     ax.grid(True, linestyle='--', alpha=0.7)
     plt.tight_layout()
-
+    plt.legend(fontsize=6)
     plt.savefig('tensor_lifecycle.png', dpi=1200)
     print("[INFO] tensor_lifecycle.png saved successfully.")