fix the difference of constants in jit and nonjit mode

Author: chaoming0625

docs/others/citing.rst renamed to docs/others/publications.rst

@@ -1,10 +1,14 @@
 
 If BrainPy has been significant in your research, and you would like to acknowledge
-the project in your academic publication, we suggest citing the following paper:
+the project in your academic publication, we suggest citing the following papers:
+
+
+
+- Chaoming Wang, Xiaoyu Chen, Tianqiu Zhang, Si Wu. *BrainPy: a flexible, integrative, efficient, and extensible framework towards general-purpose brain dynamics programming*. In submission.
+
 
 - Wang, C., Jiang, Y., Liu, X., Lin, X., Zou, X., Ji, Z., & Wu, S. (2021, December). *A Just-In-Time Compilation Approach for Neural Dynamics Simulation*. In International Conference on Neural Information Processing (pp. 15-26). Springer, Cham.
 
-In BibTeX format:
 
 .. code-block::
 

extensions/brainpylib/custom_op/regis_op.py

@@ -102,7 +102,7 @@ def eval_rule(*inputs, **info):
     outputs = tuple(np.zeros(shape.shape, dtype=shape.dtype) for shape in output_shapes)
     # convert inputs to a tuple
     inputs = tuple(np.asarray(arg) for arg in inputs)
-    inputs += tuple(info.values())
+    inputs += tuple(np.asarray(i) for i in info.values())
     # call the kernel
     cpu_func(outputs, inputs)
     # Return the outputs