From 9917a887f50a31663ddaa6dc944a28810f727db7 Mon Sep 17 00:00:00 2001
From: Phil Wang <lucidrains@gmail.com>
Date: Wed, 30 Oct 2024 10:14:07 -0700
Subject: [PATCH] maintain same behavior as an mlp when no batch dim

---
 setup.py                  | 2 +-
 x_transformers/neo_mlp.py | 8 ++++++++
 2 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/setup.py b/setup.py
index 5a989f5a..f33234e0 100644
--- a/setup.py
+++ b/setup.py
@@ -3,7 +3,7 @@
 setup(
   name = 'x-transformers',
   packages = find_packages(exclude=['examples']),
-  version = '1.42.0',
+  version = '1.42.2',
   license='MIT',
   description = 'X-Transformers - Pytorch',
   author = 'Phil Wang',
diff --git a/x_transformers/neo_mlp.py b/x_transformers/neo_mlp.py
index 687a1804..5e882467 100644
--- a/x_transformers/neo_mlp.py
+++ b/x_transformers/neo_mlp.py
@@ -94,6 +94,11 @@ def forward(
         x,
         return_embeds = False
     ):
+        no_batch = x.ndim == 1
+
+        if no_batch:
+            x = rearrange(x, '... -> 1 ...')
+
         batch = x.shape[0]
 
         fouriered_input = self.random_fourier(x)
@@ -121,6 +126,9 @@ def forward(
         output = einsum(output_embed, self.to_output_weights, 'b n d, n d -> b n')
         output = output + self.to_output_bias
 
+        if no_batch:
+            output = rearrange(output, '1 ... -> ...')
+
         if not return_embeds:
             return output