From ebf6453000eead6a3f2c2019dba5f0125b2c19e9 Mon Sep 17 00:00:00 2001
From: Sebastian Nickels <sn1c@protonmail.ch>
Date: Sat, 17 Aug 2019 21:57:19 +0200
Subject: [PATCH] Fixed a syntax error
---
src/main/resources/templates/gluon/pythonExecute.ftl | 2 +-
.../resources/target_code/CNNSupervisedTrainer_Alexnet.py | 6 +++---
.../CNNSupervisedTrainer_CifarClassifierNetwork.py | 6 +++---
.../resources/target_code/CNNSupervisedTrainer_VGG16.py | 6 +++---
4 files changed, 10 insertions(+), 10 deletions(-)
diff --git a/src/main/resources/templates/gluon/pythonExecute.ftl b/src/main/resources/templates/gluon/pythonExecute.ftl
index c0093eeb..1f2dcb30 100644
--- a/src/main/resources/templates/gluon/pythonExecute.ftl
+++ b/src/main/resources/templates/gluon/pythonExecute.ftl
@@ -2,7 +2,7 @@
${member} = mx.nd.zeroes((${tc.join(tc.getLayerVariableMembers("batch_size")[member], ", ")},), ctx=mx_context)
</#list>
<#list tc.architecture.outputs as output>
- ${tc.getName(output)} = mx.nd.zeroes(((${tc.join(output.ioDeclaration.type.dimensions, ", ")},), ctx=mx_context)
+ ${tc.getName(output)} = mx.nd.zeroes((${tc.join(output.ioDeclaration.type.dimensions, ", ")},), ctx=mx_context)
</#list>
<#list tc.architecture.streams as stream>
diff --git a/src/test/resources/target_code/CNNSupervisedTrainer_Alexnet.py b/src/test/resources/target_code/CNNSupervisedTrainer_Alexnet.py
index 0d22884f..51b79769 100644
--- a/src/test/resources/target_code/CNNSupervisedTrainer_Alexnet.py
+++ b/src/test/resources/target_code/CNNSupervisedTrainer_Alexnet.py
@@ -136,7 +136,7 @@ class CNNSupervisedTrainer_Alexnet:
predictions_label = batch.label[0].as_in_context(mx_context)
with autograd.record():
- predictions_ = mx.nd.zeroes(((10,), ctx=mx_context)
+ predictions_ = mx.nd.zeroes((10,), ctx=mx_context)
predictions_ = self._networks[0](data_)
@@ -173,7 +173,7 @@ class CNNSupervisedTrainer_Alexnet:
]
if True:
- predictions_ = mx.nd.zeroes(((10,), ctx=mx_context)
+ predictions_ = mx.nd.zeroes((10,), ctx=mx_context)
predictions_ = self._networks[0](data_)
@@ -194,7 +194,7 @@ class CNNSupervisedTrainer_Alexnet:
]
if True:
- predictions_ = mx.nd.zeroes(((10,), ctx=mx_context)
+ predictions_ = mx.nd.zeroes((10,), ctx=mx_context)
predictions_ = self._networks[0](data_)
diff --git a/src/test/resources/target_code/CNNSupervisedTrainer_CifarClassifierNetwork.py b/src/test/resources/target_code/CNNSupervisedTrainer_CifarClassifierNetwork.py
index 2a8aee06..bf5ee75f 100644
--- a/src/test/resources/target_code/CNNSupervisedTrainer_CifarClassifierNetwork.py
+++ b/src/test/resources/target_code/CNNSupervisedTrainer_CifarClassifierNetwork.py
@@ -136,7 +136,7 @@ class CNNSupervisedTrainer_CifarClassifierNetwork:
softmax_label = batch.label[0].as_in_context(mx_context)
with autograd.record():
- softmax_ = mx.nd.zeroes(((10,), ctx=mx_context)
+ softmax_ = mx.nd.zeroes((10,), ctx=mx_context)
softmax_ = self._networks[0](data_)
@@ -173,7 +173,7 @@ class CNNSupervisedTrainer_CifarClassifierNetwork:
]
if True:
- softmax_ = mx.nd.zeroes(((10,), ctx=mx_context)
+ softmax_ = mx.nd.zeroes((10,), ctx=mx_context)
softmax_ = self._networks[0](data_)
@@ -194,7 +194,7 @@ class CNNSupervisedTrainer_CifarClassifierNetwork:
]
if True:
- softmax_ = mx.nd.zeroes(((10,), ctx=mx_context)
+ softmax_ = mx.nd.zeroes((10,), ctx=mx_context)
softmax_ = self._networks[0](data_)
diff --git a/src/test/resources/target_code/CNNSupervisedTrainer_VGG16.py b/src/test/resources/target_code/CNNSupervisedTrainer_VGG16.py
index 7651ff55..d98fe840 100644
--- a/src/test/resources/target_code/CNNSupervisedTrainer_VGG16.py
+++ b/src/test/resources/target_code/CNNSupervisedTrainer_VGG16.py
@@ -136,7 +136,7 @@ class CNNSupervisedTrainer_VGG16:
predictions_label = batch.label[0].as_in_context(mx_context)
with autograd.record():
- predictions_ = mx.nd.zeroes(((1000,), ctx=mx_context)
+ predictions_ = mx.nd.zeroes((1000,), ctx=mx_context)
predictions_ = self._networks[0](data_)
@@ -173,7 +173,7 @@ class CNNSupervisedTrainer_VGG16:
]
if True:
- predictions_ = mx.nd.zeroes(((1000,), ctx=mx_context)
+ predictions_ = mx.nd.zeroes((1000,), ctx=mx_context)
predictions_ = self._networks[0](data_)
@@ -194,7 +194,7 @@ class CNNSupervisedTrainer_VGG16:
]
if True:
- predictions_ = mx.nd.zeroes(((1000,), ctx=mx_context)
+ predictions_ = mx.nd.zeroes((1000,), ctx=mx_context)
predictions_ = self._networks[0](data_)
--
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