TensorLayerX 0.5.6 release.

README.md

@@ -46,6 +46,7 @@ Compare to TensorLayer version:
 
 # Resources
 
+- [TLX2ONNX](https://github.com/tensorlayer/TLX2ONNX/) ONNX Model Exporter for TensorLayerX. ✅
 - [Examples](https://github.com/tensorlayer/TensorLayerX/tree/main/examples) for tutorials✅
 - [GammaGL](https://github.com/BUPT-GAMMA/GammaGL) is a multi-backend graph learning library based on TensorLayerX.✅
 - OpenIVA an easy-to-use product-level deployment framework✅

setup.py

@@ -20,7 +20,7 @@
 
 MAJOR = 0
 MINOR = 5
-PATCH = 5
+PATCH = 6
 PRE_RELEASE = ''
 # Use the following formatting: (major, minor, patch, prerelease)
 VERSION = (MAJOR, MINOR, PATCH, PRE_RELEASE)

tensorlayerx/nn/layers/stack.py

@@ -26,9 +26,9 @@ class Stack(Module):
     ---------
     >>> import tensorlayerx as tlx
     >>> ni = tlx.nn.Input([10, 784], name='input')
-    >>> net1 = tlx.nn.Dense(10, name='dense1')(ni)
-    >>> net2 = tlx.nn.Dense(10, name='dense2')(ni)
-    >>> net3 = tlx.nn.Dense(10, name='dense3')(ni)
+    >>> net1 = tlx.nn.Linear(10, name='linear1')(ni)
+    >>> net2 = tlx.nn.Linear(10, name='linear2')(ni)
+    >>> net3 = tlx.nn.Linear(10, name='linear3')(ni)
     >>> net = tlx.nn.Stack(axis=1, name='stack')([net1, net2, net3])
     (10, 3, 10)
 
@@ -86,7 +86,7 @@ class UnStack(Module):
     Examples
     --------
     >>> ni = tlx.nn.Input([4, 10], name='input')
-    >>> nn = tlx.nn.Dense(n_units=5)(ni)
+    >>> nn = tlx.nn.Linear(n_units=5)(ni)
     >>> nn = tlx.nn.UnStack(axis=1)(nn)  # unstack in channel axis
     >>> len(nn)  # 5
     >>> nn[0].shape  # (4,)

tensorlayerx/package_info.py

@@ -4,7 +4,7 @@
 
 MAJOR = 0
 MINOR = 5
-PATCH = 5
+PATCH = 6
 PRE_RELEASE = ''
 # Use the following formatting: (major, minor, patch, prerelease)
 VERSION = (MAJOR, MINOR, PATCH, PRE_RELEASE)