Convert magenta/image_stylization model on Android, but doesn't work

I try TF Stylize on Android and it works perfectly.  Also I find the training code of this image stylization model. Its name is magenta/image_stylization and provides two pre-trained models: Monet and Varied. The first one had 10 styles and second has 32.
So my idea it to use them to replace image stylization model.
Here is what I did.
1 Save *.ckpt model to *.pb
Save graph
import tensorflow as tf
import model
import ops

num_styles = 10
imgWidth = 216
imgHeight = 216
channel = 3
checkpoint = "models/multistyle-pastiche-generator-monet.ckpt"

inputImage = tf.placeholder(tf.float32,shape=[None,imgWidth,imgHeight,channel],name="input")
styles = tf.placeholder(tf.float32,shape=[num_styles],name="style_num")

with tf.name_scope(""):
    transform = model.transform(inputImage,
                            normalizer_fn=ops.weighted_instance_norm,
                            normalizer_params={
                                # 'weights': tf.constant(mixture),
                                'weights' : styles,
                                'num_categories': num_styles,
                                'center': True,
                                'scale': True})

model_saver = tf.train.Saver(tf.global_variables())

with tf.Session() as sess:
    tf.train.write_graph(sess.graph_def, "models/", "input.pb")

Freeze Graph
bazel-bin/tensorflow/python/tools/freeze_graph \
 --input_graph=input.pb --input_checkpoint=multistyle-pastiche-generator-monet.ckpt \
 --output_node_names=transformer/expand/conv3/conv/Sigmoid --input_binary=False \
 --output_graph=frozen.pb

Inference
bazel-bin/tensorflow/python/tools/optimize_for_inference \
--input=frozen.pb --output=inference.pb \
--input_names=input --output_names=transformer/expand/conv3/conv/Sigmoid \
--frozen_graph=True

Quantize
bazel-bin/tensorflow/tools/quantization/quantize_graph \
--input=inference.pb \
--output=quantize_graph.pb \
--output_node_names=transformer/expand/conv3/conv/Sigmoid  \
--mode=weights_rounded

2 Replace model with quantize_graph.pb
Then I got an issue.
I can see there are 10 styles and they display on the screen like demo:
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/android/sample_images/stylize1.jpg?raw=true
However, the image is not transformed.  There's no style on the image. It's the just original image.
TF version is 1.1.0. Android is 6.0.1
Anyone met the same issue or anyone knew how exactly to convert these two models  and use on mobile?

I have the same problem.

Mark~

Similar problem.

When I use image stylization model, I got this log and looks correct:
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05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual3/add\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/MirrorPad\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv1/convolution_eightbit_reshape_transformer/residual/residual4/MirrorPad\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv1/convolution_eightbit_quantize_transformer/residual/residual4/MirrorPad\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv1/convolution_eightbit_quantized_conv\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv1/convolution_eightbit_requantize\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv1/convolution\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv1/InstanceNorm/moments/sufficient_statistics/Square\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv1/InstanceNorm/batchnorm/mul_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv1/InstanceNorm/batchnorm/add_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv1/Relu_eightbit_reshape_transformer/residual/residual4/conv1/InstanceNorm/batchnorm/add_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv1/Relu_eightbit_quantize_transformer/residual/residual4/conv1/InstanceNorm/batchnorm/add_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv1/Relu_eightbit_quantized\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv1/Relu\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/MirrorPad_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv2/convolution_eightbit_reshape_transformer/residual/residual4/MirrorPad_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv2/convolution_eightbit_quantize_transformer/residual/residual4/MirrorPad_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv2/convolution_eightbit_quantized_conv\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv2/convolution_eightbit_requantize\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv2/convolution\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv2/InstanceNorm/moments/sufficient_statistics/Square\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv2/InstanceNorm/batchnorm/mul_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv2/InstanceNorm/batchnorm/add_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/add\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/MirrorPad\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv1/convolution_eightbit_reshape_transformer/residual/residual5/MirrorPad\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv1/convolution_eightbit_quantize_transformer/residual/residual5/MirrorPad\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv1/convolution_eightbit_quantized_conv\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv1/convolution_eightbit_requantize\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv1/convolution\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv1/InstanceNorm/moments/sufficient_statistics/Square\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv1/InstanceNorm/batchnorm/mul_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv1/InstanceNorm/batchnorm/add_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv1/Relu_eightbit_reshape_transformer/residual/residual5/conv1/InstanceNorm/batchnorm/add_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv1/Relu_eightbit_quantize_transformer/residual/residual5/conv1/InstanceNorm/batchnorm/add_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv1/Relu_eightbit_quantized\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv1/Relu\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/MirrorPad_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv2/convolution_eightbit_reshape_transformer/residual/residual5/MirrorPad_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv2/convolution_eightbit_quantize_transformer/residual/residual5/MirrorPad_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv2/convolution_eightbit_quantized_conv\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv2/convolution_eightbit_requantize\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv2/convolution\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv2/InstanceNorm/moments/sufficient_statistics/Square\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv2/InstanceNorm/batchnorm/mul_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv2/InstanceNorm/batchnorm/add_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/add\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/MirrorPad\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/conv1/convolution_eightbit_reshape_transformer/residual/residual6/MirrorPad\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/conv1/convolution_eightbit_quantize_transformer/residual/residual6/MirrorPad\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/conv1/convolution_eightbit_quantized_conv\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/conv1/convolution_eightbit_requantize\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/conv1/convolution\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/conv1/InstanceNorm/moments/sufficient_statistics/Square\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/conv1/InstanceNorm/batchnorm/mul_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/conv1/InstanceNorm/batchnorm/add_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/conv1/Relu_eightbit_reshape_transformer/residual/residual6/conv1/InstanceNorm/batchnorm/add_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/conv1/Relu_eightbit_quantize_transformer/residual/residual6/conv1/InstanceNorm/batchnorm/add_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/conv1/Relu_eightbit_quantized\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/conv1/Relu\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/MirrorPad_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/conv2/convolution_eightbit_reshape_transformer/residual/residual6/MirrorPad_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/conv2/convolution_eightbit_quantize_transformer/residual/residual6/MirrorPad_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/conv2/convolution_eightbit_quantized_conv\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/conv2/convolution_eightbit_requantize\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/conv2/convolution\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/conv2/InstanceNorm/moments/sufficient_statistics/Square\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/conv2/InstanceNorm/batchnorm/mul_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/conv2/InstanceNorm/batchnorm/add_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual6/add\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv1/ResizeNearestNeighbor\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv1/MirrorPad\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv1/conv/convolution_eightbit_reshape_transformer/expand/conv1/MirrorPad\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv1/conv/convolution_eightbit_quantize_transformer/expand/conv1/MirrorPad\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv1/conv/convolution_eightbit_quantized_conv\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv1/conv/convolution_eightbit_requantize\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv1/conv/convolution\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv1/conv/InstanceNorm/moments/sufficient_statistics/Square\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv1/conv/InstanceNorm/batchnorm/mul_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv1/conv/InstanceNorm/batchnorm/add_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv1/conv/Relu_eightbit_reshape_transformer/expand/conv1/conv/InstanceNorm/batchnorm/add_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv1/conv/Relu_eightbit_quantize_transformer/expand/conv1/conv/InstanceNorm/batchnorm/add_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv1/conv/Relu_eightbit_quantized\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv1/conv/Relu\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv2/ResizeNearestNeighbor\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv2/MirrorPad\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv2/conv/convolution_eightbit_reshape_transformer/expand/conv2/MirrorPad\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv2/conv/convolution_eightbit_quantize_transformer/expand/conv2/MirrorPad\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv2/conv/convolution_eightbit_quantized_conv\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv2/conv/convolution_eightbit_requantize\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv2/conv/convolution\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv2/conv/InstanceNorm/moments/sufficient_statistics/Square\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv2/conv/InstanceNorm/batchnorm/mul_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv2/conv/InstanceNorm/batchnorm/add_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv2/conv/Relu_eightbit_reshape_transformer/expand/conv2/conv/InstanceNorm/batchnorm/add_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv2/conv/Relu_eightbit_quantize_transformer/expand/conv2/conv/InstanceNorm/batchnorm/add_1\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv2/conv/Relu_eightbit_quantized\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv2/conv/Relu\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv3/ResizeNearestNeighbor\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv3/MirrorPad\
05-05 16:21:39.492 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv3/conv/convolution_eightbit_reshape_transformer/expand/conv3/MirrorPad\
05-05 16:21:39.502 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv3/conv/convolution_eightbit_quantize_transformer/expand/conv3/MirrorPad\
05-05 16:21:39.502 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv3/conv/convolution_eightbit_quantized_conv\
05-05 16:21:39.502 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv3/conv/convolution_eightbit_requantize\
05-05 16:21:39.502 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv3/conv/convolution\
05-05 16:21:39.502 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv3/conv/InstanceNorm/moments/sufficient_statistics/Square\
05-05 16:21:39.502 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv3/conv/InstanceNorm/batchnorm/mul_1\
05-05 16:21:39.502 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv3/conv/InstanceNorm/batchnorm/add_1\
05-05 16:21:39.502 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/expand/conv3/conv/Sigmoid\

This is when I use mine. not right...
05-05 16:26:59.162 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for '_arg_input_0_0\
05-05 16:26:59.162 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/contract/conv1/convolution\
05-05 16:26:59.162 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/contract/conv1/InstanceNorm/moments/sufficient_statistics/SquaredDifference\
05-05 16:26:59.162 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/contract/conv1/InstanceNorm/moments/sufficient_statistics/Sub\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/contract/conv1/InstanceNorm/batchnorm/mul_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/contract/conv1/InstanceNorm/batchnorm/add_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/contract/conv1/Relu\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/contract/conv2/convolution\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/contract/conv2/InstanceNorm/moments/sufficient_statistics/SquaredDifference\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/contract/conv2/InstanceNorm/moments/sufficient_statistics/Sub\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/contract/conv2/InstanceNorm/batchnorm/mul_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/contract/conv2/InstanceNorm/batchnorm/add_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/contract/conv2/Relu\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/contract/conv3/convolution\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/contract/conv3/InstanceNorm/moments/sufficient_statistics/SquaredDifference\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/contract/conv3/InstanceNorm/moments/sufficient_statistics/Sub\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/contract/conv3/InstanceNorm/batchnorm/mul_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/contract/conv3/InstanceNorm/batchnorm/add_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/contract/conv3/Relu\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual1/conv1/convolution\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual1/conv1/InstanceNorm/moments/sufficient_statistics/SquaredDifference\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual1/conv1/InstanceNorm/moments/sufficient_statistics/Sub\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual1/conv1/InstanceNorm/batchnorm/mul_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual1/conv1/InstanceNorm/batchnorm/add_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual1/conv1/Relu\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual1/conv2/convolution\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual1/conv2/InstanceNorm/moments/sufficient_statistics/SquaredDifference\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual1/conv2/InstanceNorm/moments/sufficient_statistics/Sub\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual1/conv2/InstanceNorm/batchnorm/mul_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual1/conv2/InstanceNorm/batchnorm/add_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual1/add\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual2/conv1/convolution\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual2/conv1/InstanceNorm/moments/sufficient_statistics/SquaredDifference\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual2/conv1/InstanceNorm/moments/sufficient_statistics/Sub\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual2/conv1/InstanceNorm/batchnorm/mul_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual2/conv1/InstanceNorm/batchnorm/add_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual2/conv1/Relu\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual2/conv2/convolution\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual2/conv2/InstanceNorm/moments/sufficient_statistics/SquaredDifference\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual2/conv2/InstanceNorm/moments/sufficient_statistics/Sub\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual2/conv2/InstanceNorm/batchnorm/mul_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual2/conv2/InstanceNorm/batchnorm/add_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual2/add\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual3/conv1/convolution\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual3/conv1/InstanceNorm/moments/sufficient_statistics/SquaredDifference\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual3/conv1/InstanceNorm/moments/sufficient_statistics/Sub\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual3/conv1/InstanceNorm/batchnorm/mul_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual3/conv1/InstanceNorm/batchnorm/add_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual3/conv1/Relu\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual3/conv2/convolution\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual3/conv2/InstanceNorm/moments/sufficient_statistics/SquaredDifference\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual3/conv2/InstanceNorm/moments/sufficient_statistics/Sub\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual3/conv2/InstanceNorm/batchnorm/mul_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual3/conv2/InstanceNorm/batchnorm/add_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual3/add\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv1/convolution\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv1/InstanceNorm/moments/sufficient_statistics/SquaredDifference\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv1/InstanceNorm/moments/sufficient_statistics/Sub\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv1/InstanceNorm/batchnorm/mul_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv1/InstanceNorm/batchnorm/add_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv1/Relu\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv2/convolution\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv2/InstanceNorm/moments/sufficient_statistics/SquaredDifference\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv2/InstanceNorm/moments/sufficient_statistics/Sub\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv2/InstanceNorm/batchnorm/mul_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/conv2/InstanceNorm/batchnorm/add_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual4/add\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv1/convolution\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv1/InstanceNorm/moments/sufficient_statistics/SquaredDifference\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv1/InstanceNorm/moments/sufficient_statistics/Sub\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv1/InstanceNorm/batchnorm/mul_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv1/InstanceNorm/batchnorm/add_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv1/Relu\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv2/convolution\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv2/InstanceNorm/moments/sufficient_statistics/SquaredDifference\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv2/InstanceNorm/moments/sufficient_statistics/Sub\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv2/InstanceNorm/batchnorm/mul_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/conv2/InstanceNorm/batchnorm/add_1\
05-05 16:26:59.172 6107-9753/org.tensorflow.demo W/native: stat_summarizer.cc:64 Output tensor changed between runs for 'transformer/residual/residual5/add\

@haikuoyao The stat_summarizer spam might be due to changing the input size while the debug mode is active (making the sizes of all the tensors change). Is this the case? If so you can safely ignore those log messages.
Do you see anything else in the log that might indicate an issue?
@guanlicome @funzhang @SnailTyan To be clear you're all experiencing the same problem after following the steps @haikuoyao describes above? Just trying to understand how so many people are suddenly seeing the same issue :)

Thanks. @andrewharp
I didn't see anything else in my log and don't find any doc about how to convert ckpt model to stylize_quantized.pb?
I wonder did I use the correct way to this?
And magenta/image_stylization is the training code of this model, right ?

There are some Nans in the ckpt you downloaded from the wed.
You should get rid of them. Then you will get right outputs on the mobile device.

Thanks. @JiaoLiu It works now.

@haikuoyao ，I have the same problem, I found a lot of Nan in model.ckpt, how can I get rid of

I also met this question (on ios),  but I am not very clear  about : "There are some Nans in the ckpt you downloaded from the wed.You should get rid of them. Then you will get right outputs on the mobile device."
so , how to do that...?

@haikuoyao I have followed the scripts in your first post, but when i use the generated quantize_graph.pb to transfer style with magenta/models/image_stylization/image_stylization_transform.py, i got the following error:
....
2017-12-11 14:30:08.818967: W tensorflow/core/framework/op_kernel.cc:1192] Data loss: Unable to open table file models/quantize_graph.pb: Data loss: not an sstable (bad magic number): perhaps your file is in a different file format and you need to use a different restore operator?
Traceback (most recent call last):
File "image_stylization_transform.py", line 148, in
console_entry_point()
File "image_stylization_transform.py", line 144, in console_entry_point
tf.app.run(main)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "image_stylization_transform.py", line 135, in main
_multiple_images(image, which_styles, output_dir)
File "image_stylization_transform.py", line 94, in _multiple_images
_load_checkpoint(sess, FLAGS.checkpoint)
File "image_stylization_transform.py", line 57, in _load_checkpoint
model_saver.restore(sess, checkpoint)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 1666, in restore
{self.saver_def.filename_tensor_name: save_path})
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 889, in run
run_metadata_ptr)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1120, in _run
feed_dict_tensor, options, run_metadata)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1317, in _do_run
options, run_metadata)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1336, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.DataLossError: Unable to open table file models/quantize_graph.pb: Data loss: not an sstable (bad magic number): perhaps your file is in a different file format and you need to use a different restore operator?
[[Node: save/RestoreV2_2 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2_2/tensor_names, save/RestoreV2_2/shape_and_slices)]]
[[Node: save/RestoreV2_29/_59 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_158_save/RestoreV2_29", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]]
Caused by op u'save/RestoreV2_2', defined at:
File "image_stylization_transform.py", line 148, in
console_entry_point()
File "image_stylization_transform.py", line 144, in console_entry_point
tf.app.run(main)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "image_stylization_transform.py", line 135, in main
_multiple_images(image, which_styles, output_dir)
File "image_stylization_transform.py", line 94, in _multiple_images
_load_checkpoint(sess, FLAGS.checkpoint)
File "image_stylization_transform.py", line 52, in _load_checkpoint
model_saver = tf.train.Saver(tf.global_variables())
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 1218, in init
self.build()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 1227, in build
self._build(self._filename, build_save=True, build_restore=True)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 1263, in _build
build_save=build_save, build_restore=build_restore)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 751, in _build_internal
restore_sequentially, reshape)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 427, in _AddRestoreOps
tensors = self.restore_op(filename_tensor, saveable, preferred_shard)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 267, in restore_op
[spec.tensor.dtype])[0])
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_io_ops.py", line 1021, in restore_v2
shape_and_slices=shape_and_slices, dtypes=dtypes, name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2956, in create_op
op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1470, in init
self._traceback = self._graph._extract_stack()  # pylint: disable=protected-access
DataLossError (see above for traceback): Unable to open table file models/quantize_graph.pb: Data loss: not an sstable (bad magic number): perhaps your file is in a different file format and you need to use a different restore operator?
[[Node: save/RestoreV2_2 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2_2/tensor_names, save/RestoreV2_2/shape_and_slices)]]
[[Node: save/RestoreV2_29/_59 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_158_save/RestoreV2_29", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]]
My environment is ubuntu 16.04/tensorflow 1.4/python 2.7.
Actually, i have trained the model myself, i got the following output:
├── checkpoint
├── events.out.tfevents.1512703812.Y920
├── graph.pbtxt
├── model.ckpt-39954.data-00000-of-00001
├── model.ckpt-39954.index
├── model.ckpt-39954.meta
├── model.ckpt-39966.data-00000-of-00001
├── model.ckpt-39966.index
├── model.ckpt-39966.meta
├── model.ckpt-39978.data-00000-of-00001
├── model.ckpt-39978.index
├── model.ckpt-39978.meta
├── model.ckpt-39990.data-00000-of-00001
├── model.ckpt-39990.index
├── model.ckpt-39990.meta
├── model.ckpt-40000.data-00000-of-00001
├── model.ckpt-40000.index
├── model.ckpt-40000.meta
And i use above trained model and get the same error message.
I can use above model to transfer style with magenta/models/image_stylization/image_stylization_transform.py, but i failed to convert the trained model(checkpoint) to quantized_graph.pb
Thanks for any help!

Hi @chenhxbj I got some advice from @JiaoLiu  I think you can try to contact him.
Actually, I got a transfer script from him and it works.
But I don't know if it's ok to post it here.  Because he has the copyright.
Anyway, you can send a message to him.
Thanks.

Any solution on this? Still trying to freeze ckpt


Fix travis failures on macOS

@runcom PTAL
@mrunalp this fixes the failures encountered in #388.

LGTM
Thanks!

LGTM


Songs Not Syncing When Lag Spikes Hits.

Describe your bug here.
Hello, I would like you to fix the song sync because when I play one of my spammy song I get laggy (because of 3gb of ram) and I turned on every optimization setting I find, and I wonder if you can get it fixed in Psych Engine 0.7.4.
Crash Log or logcat logs (if existing)
No response
Are you modding a build from source or with Lua?
I am not modding
What is your build target?
Android
Did you edit anything in this build? If so, mention or summarize your changes.
No, I did not modded to hard and break the syncing the song

hardware issues is something we can't fix

@moxie-coder Dave and Bambi enjoyer LMFAO

hardware issues is something we can't fix

Yep, yep, yep


Invalid Icon for Fabric Mod Menu

Right-Click-Harvest's icon (icon.png) is 800x801px in size. Currently, when looking at the menu, the following message appears in the log:

[14:12:04] [Render thread/WARN]: Warning! Mod rightclickharvest has a broken icon, loading default icon

For an icon to work with Mod Menu and properly display is must be a perfect square. I can confirm that reducing the height of the image by one pixel fixes the issue and displays properly in-game.

Oh right, that logo was from BisectHostings partner graphic design team, thanks for reporting


Can't edit page

Attempted Debugging

[ ] I have read the debugging page

Searched GitHub Issues

[X] I have searched GitHub for the issue.

Describe the Scenario
Hello,
I have question. After updating from bookstack v22.03 to 22.07, I can't edit the page. It's just a blank screen, and there are 2 options (clean or stable content). How do I edit my page with the normal one?
Thanks.

No cursor (WYSIWYG)
Exact BookStack Version
v22.07
Log Content
No response
PHP Version
No response
Hosting Environment
Oracle Cloud

Hi, I have the same Problem. My Bookstack runs on docker with this image: https://hub.docker.com/r/tiredofit/bookstack. I think this is a problem with the WYSIWYG-Editor. If I switch to markdown, then I can edit the page.

@ThomasK1966 @cevinov This is likely a JavaScript issue occuring somewhere.
It would be helpful to provide any errors in the browser developer console. At a high level, this usually involves:

Open the "Developer tools" within the browser. (Method depends on browser in use)
Click on the "Console" tab.
Reload the page where the issue occurs.
Share any lines that are logged in red.

Hi @ssddanbrown, thank you for the fast replay.
Here the output of the console-tab after reload the page:
tinymce.min.js?ver=5.10.2:9 Uncaught TypeError: i is not a constructor     at w1 (tinymce.min.js?ver=5.10.2:9:342591)     at _x.<anonymous> (tinymce.min.js?ver=5.10.2:9:344979)     at Array.<anonymous> (tinymce.min.js?ver=5.10.2:9:98435)     at ce (tinymce.min.js?ver=5.10.2:9:4670)     at u (tinymce.min.js?ver=5.10.2:9:98381)     at tinymce.min.js?ver=5.10.2:9:98197     at a.onload (tinymce.min.js?ver=5.10.2:9:96962)

@ThomasK1966 Thanks.
Could you try a browser hard refresh while on the edit page?
Then let me know if that fixes things.

@ssddanbrown The browser hard refresh was the solution for me :-) Now I can edit the page as in older version.
Thank you :+1:

@ThomasK1966 Thanks for confirming and your fast responses.
I usually force-break the browser cache upon changes but forgot to do that here.
Have re-titled this issue and assigned it to the next patch release, as a reminder to break this cache.
As above, this can be worked-around by performing a browser hard refresh.

@ThomasK1966 @cevinov This is likely a JavaScript issue occuring somewhere. It would be helpful to provide any errors in the browser developer console. At a high level, this usually involves:

Open the "Developer tools" within the browser. (Method depends on browser in use)
Click on the "Console" tab.
Reload the page where the issue occurs.
Share any lines that are logged in red.

Hello
This is my log
include-fragment-element-hacks.ts:5          GET https://github.com/BookStackApp/BookStack/issue_comments/1200398479/edit_form?textarea_id=issuecomment-1200398479-body&comment_context= net::ERR_ABORTED 403

@ThomasK1966 Thanks for confirming and your fast responses.
I usually force-break the browser cache upon changes but forgot to do that here. Have re-titled this issue and assigned it to the next patch release, as a reminder to break this cache. As above, this can be worked-around by performing a browser hard refresh.

It solved thanks, I will wait for the next update.
Summary for this issue, i need to learn HTML hahaha.

@cevinov Thanks for confirming, I'm going to leave this open until I've addressed the cache from our side.

This has now been addressed in 8d6071cb8456cff51b30c44486fbdd24b7aa01c8, and so we should not have the same problem in future release. Will be part of the next patch release.


Use with PortableGL?

Hi, just found out about your project. Looks nice!
I noticed that RGFW has an OPENGL_SOFTWARE option in the code, but it assumes you want to use OSMesa (in Linux at least). I was wondering if it would be possible to use the lighter PortableGL instead. It's not a 1:1 replacement but it seems like a good fit, considering the spirit of both projects of being lightweight alternatives.
What do you think?

@tomas Here's an example I made for PortableGL and RSGL https://github.com/ColleagueRiley/RSGL-PortableGL
However, it is still WIP and does not properly render. But it should work as an example of how you would achieve this.
I'll look into fixing the example when I'm less focused on my other projects.


Some minor cosmetics

By reducing the amount of layers and not installing all the packages (some of them are already present in the base image, e.g. tar, which) or it doesn't seem to be needed (e.g. sudo). I was able to reduce the size by ~300Mb.

Merged into v6.0.2-d1.


Not working on VPS

Hello,
My name is Dylan and I was trying to run this discord bot on a VPS.
On my pc it works just fine but on my server it never works. I get this error:

I am sorry to bother you but I don't know how to fix this. Do you have any info about that?
Thank you!
greetings,
Dylan

Not using it anymore

Not using it anymore


No Hover Event

There is no mouseover or hover event for typeahead. The only work around is through css for styling. How to display the hovered text in the input box without selecting it ?

see #1424


DynDNS - No-IP Provide - API

Hi, I've made an update to the client to use the current API recommended by No-IP as described in their documentation, here:
https://www.noip.com/integrate/request
The new API supports less status codes than the old one, but works correctly with groups(Current old API bundled with OpenSense does not(Error 99) and requires to create dedicated entry for each domain).
My patch for review attached in a zip file(Path: /dns/dyndns/src/etc/inc/plugins.inc.d/dyndns/).
I don't make Pull Request because it's a relatively small change.
phpDynDNS.zip

This issue has been automatically timed-out (after 180 days of inactivity).
For more information about the policies for this repository,
please read https://github.com/opnsense/plugins/blob/master/CONTRIBUTING.md for further details.
If someone wants to step up and work on this issue,
just let us know, so we can reopen the issue and assign an owner to it.


question: What's the logic of exclusively using the wasmedge frontend?

Summary
I have an inkling that the greatest benefit is portability. But are there any other reasons? Is there a way to build llamaedge applications 'without' wasmedge, i.e. as a regular rust executable? or to combine a model with the inference engine part to have a single runnable model?
Appendix
No response

Ok this page is relevant to answer part of my question:

Compared with Python, Rust+Wasm apps could be 1/100 of the size, 100x the speed, and most importantly securely run everywhere at full hardware acceleration without any change to the binary code. Rust is the language of AGI.

We created a very simple Rust program to run inference on llama2 models at native speed. When compiled to Wasm, the binary application (only 2MB) is completely portable across devices with heterogeneous hardware accelerators. The Wasm runtime (WasmEdge) also provides a safe and secure execution environment for cloud environments. In fact, the WasmEdge runtime works seamlessly with container tools to orchestrate and execute the portable application across many different devices.

@juntao Yes, I get that.  But is there still an option to compile a non-wasm based executable?

You sure can. But then you can also compile llama.cpp for different platforms by hand. ;)
LlamaEdge compiles to the WASI NN API and then the runtime figures out how to translate WASI NN calls to the underlying framework calls. I guess you can create a WASI NN compatible FFI bridge. That would allow LlamaEdge programs to compile to native.

Thanks @juntao
That's great.. I have already compiled llama.cpp and I'm using it as my main inference engine, but I'm interested in rust inference engines so it'd be good to understand llamaedge's rust stack more and also candle's.


Launch EKS with EKS-Optimized AMIs retrieved from SSM

What kind of request is this (question/bug/enhancement/feature request): enhancement
Steps to reproduce (least amount of steps as possible): Currently AMIs are stored in drivers/eks/eks_driver.go
Result: Manual refresh is required
Other details that may be helpful:
SSM GetParameter can be used to retrieve these programatically.

https://docs.aws.amazon.com/sdk-for-go/api/service/ssm/#SSM.GetParameter
https://docs.aws.amazon.com/eks/latest/userguide/retrieve-ami-id.html

Example of GetParameter for EKS AMI retrieval

Or, as CloudFormation is used, using the built-in parameter type at creation of the stack, replacing 1.14 with the version of k8s.
  NodeImageIdSSMParam:
    Type: "AWS::SSM::Parameter::Value<AWS::EC2::Image::Id>"
    Default: /aws/service/eks/optimized-ami/1.14/amazon-linux-2/recommended/image_id
    Description: AWS Systems Manager Parameter Store parameter of the AMI ID for the worker node instances.

And a condition if NodeImageId is provided (override).
Conditions:
  HasNodeImageId: !Not
    - "Fn::Equals":
        - Ref: NodeImageId
        - ""

Build the launch configuration using the AMI:
  NodeLaunchConfig:
    Type: "AWS::AutoScaling::LaunchConfiguration"
[...]
      ImageId: !If
        - HasNodeImageId
        - Ref: NodeImageId
        - Ref: NodeImageIdSSMParam

This is perhaps no longer relevant with the prevalence of clusters now managed by the v2 provisioning, which uses managed node groups to automate worker node management, instead of CloudFormation.


Find cross-platform MSDF workaround

Mac unfortunately doesn't like the standard derivatives extension (at least not on our version of GLSL) so I need to find a workaround. Hopefully YYG provide us with a way to force the GLSL version + add extensions soon <_<

Get your shader stuff together, Yoyo >:(

Get your shader stuff together, Yoyo >:(

I belieeeeve I've found a solution for this, but YYG are apparently upgrading to Metal at some point in the future so I'll hold off on making Mac-related changes until the dust settles there.

Bumped up the priority queue as this impacts more platforms than I was initially aware of.

Sounds great, I'm looking forward to be able to use Scribble with MSDF Fonts in my project, as this solves some annoying issues I have with scaling and the standard text rendering.

Fix open for testing in 7.1.2pre001

So I have been testing with the new version, and I have done all the previous mentioned test both on Android and iOS, and so far everything looks good just as on Windows, so absolutely perfect :+1:
Thank you so much for looking in to this issue so fast Juju, very much appreciated :)
A question regarding performance, I would love to use this in an app both for Android and iOS, and my question is regarding lower end devices mostly on Android, how is the MSDF font performance there, or is there not a difference to the "normal" way of drawing fonts?

There's marginally more work being done for MSDF fonts, but they're basically the same speed as a standard font rendered through Scribble.
As for performance versus GM's native text drawing? I've not tested it recently. I'd imagine Scribble is slower for simple strings, but simple strings don't have all the fun bits that make Scribble useful!

Sounds good, I must admit I have not looked too deep in to Scribble, I just saw there where some shaders and thought of some lower end devices not being too happy about them, but I guess these are used to render the font initially and not draw the font in the end?

Bulk of the shader burden is in the vertex shader so that's orders of magnitude less stressful than heavy fragment shaders. The work that's being done in there is for all the effects (rainbow, wave, typewriter easing etc.). MSDF fonts, like standard fonts, only require a single texture sample so memory bandwidth is rarely a problem.
GM dynamically builds vertex buffers every frame for every piece of text you render, but Scribble caches vertex buffers. This vertex buffer caching offsets the extra cost of running a custom shader.

Sounds great, thank you for the explanation, I'm looking very much forward to working with Scribble :)

Implemented in v7.1.2


New-ContainerHost.ps1 may fail when temp directory path elements are too long

When temp directory path elements are too long, the Get-Nsmm function within New-ContainerHost.ps1 obtains a path using one or more short names which causes the Remove-Item command to fail.
Related issue on ServerFault
We was able to workaround this issue by making the adjustment on line 1080 as mentioned in the accepted ServerFault answer:
- $nssmZip = "$($env:temp)\$(Split-Path $nssmUri -Leaf)"
+ $nssmZip = [System.IO.Path]::GetFullPath("$($env:temp)\$(Split-Path $nssmUri -Leaf)")
This is the error encountered when paths were long enough for short names to be used:
C:\New-ContainerHost.ps1 : An object at the specified path C:\Users\FILE~1.NAM does not exist.
At line:1 char:1
+ C:\New-ContainerHost.ps1 -VMName docker-hyperv -WindowsImage ServerD ...
+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    + CategoryInfo          : NotSpecified: (:) [Write-Error], WriteErrorException
    + FullyQualifiedErrorId : Microsoft.PowerShell.Commands.WriteErrorException,New-ContainerHost.ps1

Assuming this has been resolved with TP5 revision. Will re-open if necessary.


Put Recent Presentations on the arfc site

Archiving your presentations
In this summer moment, just after the ANS annual meeting, it's a great time to remember and make a record of any of the presentations or posters that you have presented while working with ARFC.

[x] Are there any presentations or posters that have not made it onto the presentations section of the website? Ideally, the title, time, authors, and abstract should be posted along with a pdf of the slides, if available.
[x] If there are slides, a repository, or a video already published online, there are appropriate ways to note links to those items in the _data/presentations.yml file.
[x] Think back to student conferences, workshops, and ANS meetings. It's ok if you don't have any to update -- perhaps you're already up to date! Otherwise, please make a PR adding those presentations (being careful to place your presentation in appropriate chronological position in _data/presentations.yml).
[ ] One option to consider at this stage is to give your presentation file it's own DOI first (with the Illinois Data Bank or Zenodo, for example), but please be careful to include all of the appropriate metadata, author names, etc.
[x] Remember to add your presentation file to Zotero as well (in the appropriate subdirectory of group-pubs).

How can this issue be closed?
Once you are confident that the website and zotero are up to date regarding your posters and presentations with merged PRs (or a confirmation that you have nothing to add), please close this issue.

Closed with #183


Only check for  elements if response is HTML

What this PR solves / how to test:
This prevents the Pages Asset Server from performing unnecessary checks for preload/preconnect links. I've reproduced the unintended behavior and wrote an internal integration test to ensure that this change solves the problem.
Associated docs issues/PR:

N/A

Author has included the following, where applicable:

[ ] Tests
[ ] Changeset

Reviewer has performed the following, where applicable:

[ ] Checked for inclusion of relevant tests
[ ] Checked for inclusion of a relevant changeset
[ ] Checked for creation of associated docs updates
[x] Manually pulled down the changes and spot-tested

You'll need a changeset to make this release in a new @cloudflare/pages-shared version.


last version;

deprecated notice;
tests fixed

:tada: This PR is included in version 2.1.0 :tada:
The release is available on:

npm package (@latest dist-tag)
GitHub release

Your semantic-release bot :package::rocket:

:tada: This PR is included in version 2.1.0 :tada:
The release is available on:

npm package (@latest dist-tag)
GitHub release

Your semantic-release bot :package::rocket:


Different render on different monitors at same computer

I have 3 monitors

1 - fullHD(horizontal)
2 - 4k (main)(horizontal)
3 - fullHD(vertical)

Results:

Also. At main monitor (2) - not focus background became black, but on 1/3 all ok.
Thanks

3rd monitor is also fullHD, but it's blured as expected. But - background bad

Not sure about how that happen, just try printing the size of rootvisual on to the console, if it is same as the Virtual Screen width may be i could fix it

Testing :) I want understand, how do bluring via C++. I love aero, but win 10 introduce new bluring effects (acrylic) which not documented (except C# examples) =/
You made good work 👍🏻

Just research :)

But Windows, Mac, Linux uses different technologies to blur the windows, it is completely depend upon the Compositor used by the OS. When a GUI Application is running the compositor receives the buffer containing the pixels to be rendered it is compositors duty to attach input to each Application, and render it into the screen. so different compositors uses different techniques for blurring and some does not even have an API. eg: Windows uses DWM as its Compositor, for Linux there are a lot like Sway (wlroots) etc..

Testing :) I want understand, how do bluring via C++. I love aero, but win 10 introduce new bluring effects (acrylic) which not documented (except C# examples) =/
You made good work 👍🏻

Thank you, i am trying to bring back acrylic to wpf using windows.ui.composition but to overcome the airspace issue it's hard, the only way i see is by overlapping windows it works fine but i will lose all the windows animations like minimize, maximize etc.. Here is a demo : acrylic demo .NET 5.zip

Hello, could you share the full source code of the acrylic demo .net 5?

Sorry @dragonhaman , I don't have the source code with me now, but i think now windows has introduced API to achieve this in WinUI3. you can go through this:
https://learn.microsoft.com/en-us/windows/apps/windows-app-sdk/system-backdrop-controller


Add is_xenograft & is_cell_line to example metadata

We need is_xenograft and is_cell_line columns here: https://github.com/AlexsLemonade/scpca-nf/blob/development/examples/example_sample_metadata.tsv
They are expected here:
https://github.com/AlexsLemonade/scpca-nf/blob/1569842882eadc5a378f5eba51759cde9241ad3d/bin/generate_unfiltered_sce.R#L182-L190

They are expected here:

That said, we should also either:

Add checks that those columns are present for a more informative error if they are missing
Handle this differently if either of those columns is missing. For example, we could default to "patient tissue" if a value isn't specified.

They are expected here:

That said, we should also either:

Add checks that those columns are present for a more informative error if they are missing
Handle this differently if either of those columns is missing. For example, we could default to "patient tissue" if a value isn't specified.

I think I would actually favor just setting those columns to NA if they are missing. If they aren't provided, I don't think it should kill the workflow or that we should fill them in by default.
We could print a message and then just use NA.

I think I would actually favor just setting those columns to NA if they are missing.

You mean in the R script itself? This seems like a good plan to me. In this case, we'd want to make sure that sample_types ends up as NA if values are NA. There would also not be anything printed here, which seems fine: https://github.com/AlexsLemonade/scpca-nf/blob/b400776085938e9bbc5e7062cffc1e0fa1fd2044/templates/qc_report/main_qc_report.rmd#L136
We'd also want to update docs that this value can be NA: https://github.com/AlexsLemonade/scpca-docs/blob/aa3887cdd3d0ab8ea31b618b57d77f731b5a951a/docs/sce_file_contents.md?plain=1#L138

I think I would actually favor just setting those columns to NA if they are missing.

You mean in the R script itself? This seems like a good plan to me. In this case, we'd want to make sure that sample_type ends up as NA if values are NA. There would also not be anything printed here, which seems fine:
https://github.com/AlexsLemonade/scpca-nf/blob/b400776085938e9bbc5e7062cffc1e0fa1fd2044/templates/qc_report/main_qc_report.rmd#L136
We'd also want to update docs that this value can be NA: https://github.com/AlexsLemonade/scpca-docs/blob/aa3887cdd3d0ab8ea31b618b57d77f731b5a951a/docs/sce_file_contents.md?plain=1#L138

Yes, this is what I was thinking. Or we can say "Not provided", if we want to be more clear about it, but either way I don't think we should automatically populate it with patient tissue.

Closed by #725


fixed an Error where the AnchorlineColor reused the given color

AnchorLineColor in the Vector3DTilePoints  is using a scratchColor to set the Color to the Cesium3DTilePointFeature. This only works when the function clones the Color, otherwise all colors take the value of the last feature.
https://github.com/AnalyticalGraphicsInc/cesium/blob/master/Source/Scene/Vector3DTilePoints.js#L425

Thanks for the pull request @jbo023!

:heavy_check_mark: Signed CLA found.
:grey_question: CHANGES.md was not updated.

If this change updates the public API in any way, please add a bullet point to CHANGES.md.

:grey_question: Unit tests were not updated.

Make sure you've updated tests to reflect your changes, added tests for any new code, and ran the code coverage tool.

Reviewers, don't forget to make sure that:

[ ] Cesium Viewer works.
[ ] Works in 2D/CV.
[ ] Works (or fails gracefully) in IE11.

Thanks @jbo023, the fix looks good to me.


💡 Filters plugin

Hey there. Thanks for your work!
It would be cool if there were a plugin to add css filters like grayscale.
With a classname like .filter-grayscale like in the repo https://github.com/benface/tailwindcss-filters

Hi there 👋
That's a cool idea.
I'd be up for implementing this when I've got a bit more time so I'll leave that open until then.
I'd probably do things a bit differently though. Maybe have two plugins: One for the filter attribute and one for adding blurriness (since that's the only useful thing I can think of with the backdrop attribute).
Anyway, thanks for the suggestion! 👍


Not recording sessions created with ProxyCommand  and ssh -W option

Connecting to servers using ProxyCommand and ssh -W $host:$port bypasses the recording.
Example ssh config:
Host myserver.mycompany.com
    ProxyCommand ssh bastion.mycompany.com -W %h:%p

Is there a way to record the actions executed in the remote servers if connecting this way?
Thanks for this great project!

Hello,
Yes I know this issue, that's why initialy I disabled the AllowTcpForwarding to forbid the ProxyCommand because we are not able to log the session in this mode.
But for some reason, in need the AllowTcpForwarding like for SSH Tunneling for example.
I don't know if their is any way to resolve this, I've to check.
Thanks 😄


Can't override stdenv phases with empty strings

Issue description
Likely because the stdenv derivation phases are controlled by environment variables, they can't be overridden by empty strings.  So doing something like:
stdenv.mkDerivation {     fixupPhase = ""; }
still runs the default fixupPhase, but:
stdenv.mkDerivation {     fixupPhase = "echo not fixing"; }
will not.  This is not what a user would likely be expecting.  This limitation should either be documented or fixed.
Technical details

System: 17.03.1825.df7e518568 (Gorilla)
Nix version: nix-env (Nix) 1.11.14
Nixpkgs version: "17.03.1825.df7e518568"
Sandboxing enabled: true

If I am correct the recommended method is to pass ":" instead.

Sure, but that's dependent on an implementation detail not normally exposed to users (the fact that the ${var:-default} feature of bash is used).
Where is this recommended? Is it in the manual?

we have dontFixup which is documented


Bad key or directory name: "/apps/gnome-terminal/profiles/Zenburn /visible_name"

Space is appended to every single theme name using this script. This breaks scripts completely.

Please let me know if it fixed.  026452e

i guess this was fixed


[shardformer] add linearconv1d test

📌 Checklist before creating the PR

[x] I have created an issue for this PR for traceability
[x] The title follows the standard format: [doc/gemini/tensor/...]: A concise description
[x] I have added relevant tags if possible for us to better distinguish different PRs

🚨 Issue number

Link this PR to your issue with words like fixed to automatically close the linked issue upon merge
e.g. fixed #1234, closed #1234, resolved #1234
fixed #4066

📝 What does this PR do?

Summarize your work here.
if you have any plots/diagrams/screenshots/tables, please attach them here.
add linearconv1d test

💥 Checklist before requesting a review

[x] I have linked my PR to an issue (instruction)
[x] My issue clearly describes the problem/feature/proposal, with diagrams/charts/table/code if possible
[x] I have performed a self-review of my code
[x] I have added thorough tests.
[x] I have added docstrings for all the functions/methods I implemented

⭐ Do you enjoy contributing to Colossal-AI?

[x] 🌝 Yes, I do.
[ ] 🌚 No, I don't.

Tell us more if you don't enjoy contributing to Colossal-AI.


InfluxDB api does not support float64 bit values

Hi, when i tried to insert float64 or double value through InfluxDB cpp api then it return -7 as a error code but same float64 value inserted through command line of InfludxDB then it inserted successfully so my conclusion is InfluxDB cpp api is not supported float64 bit values.
First of all '-7' status code is not understandable at first impression because their is no related document for return codes meaning so i decide to look into InfluxDB.hpp file then i found some string length issue.
When i increase the length of format buffer #define FMT_BUF_LEN 25
to#define FMT_BUF_LEN 35 then it works fine for me and i am able to handlefloat64 bit values upto a certain range not upto maximum range offloat64`.
Usecase:
if i tried to insert float flVal = 3.14e18 then the value is not inserted into database and it returns '-7' as a error code and if insert float flVal = 3.14e17 then it inserted successfully into database. But after increasing buffer length to 35 then float flVal = 3.14e27 can be inserted into DB and bigger than that value cannot be inserted if buffer length is set to 35.
So my question is, this is correct way to handle the float64 bit values or have to choose other way round.
Thanks.

I think that is a mistake I've made.
I'll check the documents for help, and fix it ASAP.
I haven't choose stringstream because stringstream will be influenced by locale settings by default.
Thank you for your deep feedback and detailed use case.

Hi, thanks for looking into the issue. Sorry to interrupt you I would like just to know have you check that and adding any fix in this.