[bug] Fix prograss bar is not displayed and updated as expected (#683)

* Update runners.py

* Update random.py

* Fix

brainpy/_src/integrators/runner.py

@@ -244,7 +244,7 @@ def _step_fun_integrator(self, static_args, dyn_args, t, i):
 
     # progress bar
     if self.progress_bar:
-      jax.pure_callback(lambda *args: self._pbar.update(), ())
+      jax.debug.callback(lambda *args: self._pbar.update(), ())
 
     # return of function monitors
     shared = dict(t=t + self.dt, dt=self.dt, i=i)

brainpy/_src/math/object_transform/controls.py

@@ -726,7 +726,7 @@ def fun2scan(carry, x):
       dyn_vars[k]._value = carry[k]
     results = body_fun(*x, **unroll_kwargs)
     if progress_bar:
-      jax.pure_callback(lambda *arg: bar.update(), ())
+      jax.debug.callback(lambda *args: bar.update(), ())
     return dyn_vars.dict_data(), results
 
   if remat:

brainpy/_src/math/random.py

@@ -67,10 +67,9 @@ def _size2shape(size):
 
 
 def _check_shape(name, shape, *param_shapes):
-  shape = core.as_named_shape(shape)
   if param_shapes:
-    shape_ = lax.broadcast_shapes(shape.positional, *param_shapes)
-    if shape.positional != shape_:
+    shape_ = lax.broadcast_shapes(shape, *param_shapes)
+    if shape != shape_:
       msg = ("{} parameter shapes must be broadcast-compatible with shape "
              "argument, and the result of broadcasting the shapes must equal "
              "the shape argument, but got result {} for shape argument {}.")

brainpy/_src/runners.py

@@ -631,7 +631,7 @@ def _step_func_predict(self, i, *x, shared_args=None):
 
     # finally
     if self.progress_bar:
-      jax.pure_callback(lambda: self._pbar.update(), ())
+      jax.debug.callback(lambda *args: self._pbar.update(), ())
     # share.clear_shargs()
     clear_input(self.target)
 

brainpy/_src/train/offline.py

@@ -219,7 +219,7 @@ def _fun_train(self,
       targets = target_data[node.name]
       node.offline_fit(targets, fit_record)
       if self.progress_bar:
-        jax.pure_callback(lambda *args: self._pbar.update(), ())
+        jax.debug.callback(lambda *args: self._pbar.update(), ())
 
   def _step_func_monitor(self):
     res = dict()

brainpy/_src/train/online.py

@@ -252,7 +252,7 @@ def _step_func_fit(self, i, xs: Sequence, ys: Dict, shared_args=None):
 
     # finally
     if self.progress_bar:
-      jax.pure_callback(lambda *arg: self._pbar.update(), ())
+      jax.debug.callback(lambda *args: self._pbar.update(), ())
     return out, monitors
 
   def _check_interface(self):