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Use ==/!= to compare constant literals (str, bytes, int, float, tuple)

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Avoid `SyntaxWarning` on Python >= 3.8
```
>>> "convolutional" == "convolutional"
True
>>> "convolutional" is "convolutional"
<stdin>:1: SyntaxWarning: "is" with a literal. Did you mean "=="?
True
```
Related to #21121
This commit is contained in:
Christian Clauss 2021-11-25 12:44:21 +01:00
parent 2c226d597d
commit 9cc60c9dd3
1 changed files with 3 additions and 3 deletions
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6
samples/dnn/tf_text_graph_ssd.py
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@ -270,12 +270,12 @@ def createSSDGraph(modelPath, configPath, outputPath):
addConstNode('concat/axis_flatten', [-1], graph_def)
addConstNode('PriorBox/concat/axis', [-2], graph_def)
for label in ['ClassPredictor', 'BoxEncodingPredictor' if box_predictor is 'convolutional' else 'BoxPredictor']:
for label in ['ClassPredictor', 'BoxEncodingPredictor' if box_predictor == 'convolutional' else 'BoxPredictor']:
concatInputs = []
for i in range(num_layers):
# Flatten predictions
flatten = NodeDef()
if box_predictor is 'convolutional':
if box_predictor == 'convolutional':
inpName = 'BoxPredictor_%d/%s/BiasAdd' % (i, label)
else:
if i == 0:
@ -308,7 +308,7 @@ def createSSDGraph(modelPath, configPath, outputPath):
priorBox = NodeDef()
priorBox.name = 'PriorBox_%d' % i
priorBox.op = 'PriorBox'
if box_predictor is 'convolutional':
if box_predictor == 'convolutional':
priorBox.input.append('BoxPredictor_%d/BoxEncodingPredictor/BiasAdd' % i)
else:
if i == 0: