Better default behaviour for BN dtypes; better State errors.

equinox/_misc.py

@@ -1,3 +1,4 @@
+import jax
 import jax.core
 import jax.numpy as jnp
 from jaxtyping import Array
@@ -10,3 +11,10 @@ def left_broadcast_to(arr: Array, shape: tuple[int, ...]) -> Array:
 
 def currently_jitting():
     return isinstance(jnp.array(1) + 1, jax.core.Tracer)
+
+
+def default_floating_dtype():
+    if jax.config.jax_enable_x64:  # pyright: ignore
+        return jnp.float64
+    else:
+        return jnp.float32

equinox/nn/_batch_norm.py

@@ -6,6 +6,7 @@
 import jax.numpy as jnp
 from jaxtyping import Array, Bool, Float
 
+from .._misc import default_floating_dtype
 from .._module import field
 from ._sequential import StatefulLayer
 from ._stateful import State, StateIndex
@@ -62,7 +63,7 @@ def __init__(
         channelwise_affine: bool = True,
         momentum: float = 0.99,
         inference: bool = False,
-        dtype=jnp.float32,
+        dtype=None,
         **kwargs,
     ):
         """**Arguments:**
@@ -81,7 +82,9 @@ def __init__(
             statistics are directly used for normalisation. This may be toggled with
             [`equinox.nn.inference_mode`][] or overridden during
             [`equinox.nn.BatchNorm.__call__`][].
-        - `dtype`: The dtype of the input array.
+        - `dtype`: The dtype to use for the running statistics. Defaults to either
+            `jax.numpy.float32` or `jax.numpy.float64` depending on whether JAX is in
+            64-bit mode.
         """
 
         super().__init__(**kwargs)
@@ -93,6 +96,8 @@ def __init__(
             self.weight = None
             self.bias = None
         self.first_time_index = StateIndex(jnp.array(True))
+        if dtype is None:
+            dtype = default_floating_dtype()
         init_buffers = (
             jnp.empty((input_size,), dtype=dtype),
             jnp.empty((input_size,), dtype=dtype),

equinox/nn/_stateful.py

@@ -10,7 +10,7 @@
 
 from .._module import field, Module
 from .._pretty_print import bracketed, named_objs, text, tree_pformat
-from .._tree import tree_at
+from .._tree import tree_at, tree_equal
 
 
 _Value = TypeVar("_Value")
@@ -165,8 +165,15 @@ def set(self, item: StateIndex[_Value], value: _Value) -> "State":
             raise ValueError("Can only use `eqx.nn.StateIndex`s as state keys.")
         old_value = self._state[item.marker]  # pyright: ignore
         value = jtu.tree_map(jnp.asarray, value)
-        if jax.eval_shape(lambda: old_value) != jax.eval_shape(lambda: value):
-            raise ValueError("Old and new values have different structures.")
+        old_struct = jax.eval_shape(lambda: old_value)
+        new_struct = jax.eval_shape(lambda: value)
+        if tree_equal(old_struct, new_struct) is not True:
+            old_repr = tree_pformat(old_struct, struct_as_array=True)
+            new_repr = tree_pformat(new_struct, struct_as_array=True)
+            raise ValueError(
+                "Old and new values have different structures/shapes/dtypes. The old "
+                f"value is {old_repr} and the new value is {new_repr}."
+            )
         state = self._state.copy()  # pyright: ignore
         state[item.marker] = value
         new_self = object.__new__(State)