Styjun

Why doesn't WotC use established keywords on all new cards?

Why do only some White Walkers shatter into ice chips?

Finding positions of minimum values in list

Fitch Proof Question

Does a card have a keyword if it has the same effect as said keyword?

Is there an idiom that support the idea that "inflation is bad"?

How was the quadratic formula created?

Would Hubble Space Telescope improve black hole image observed by EHT if it joined array of telesopes?

How long would it take for people to notice a mass disappearance?

Would glacier 'trees' be plausible?

Using column size much larger than necessary

What's preferable: to count Sefiras Haomer right at nightfall by oneself OR to count later with a Ma'ariv minyan?

I need a disease

Out of scope work duties and resignation

Why Isn’t SQL More Refactorable?

I have a unique character that I'm having a problem writing. He's a virus!

Point of the the Dothraki's attack in GoT S8E3?

Where can I go to avoid planes overhead?

What happens if you dump antimatter into a black hole?

Position of past participle and extent of the Verbklammer

If your medical expenses exceed your income does the IRS pay you?

How I can I roll a number of non-digital dice to get a random number between 1 and 150?

Manager is threatening to grade me poorly if I don't complete the project

Have I damaged my car by attempting to reverse with hand/park brake up?

update instruction of the deprecated tensorflow dataset sliding window with tf.data.experimental.CsvDataset

TensorFlow 0.12 tutorials produce warning: "Rank of input Tensor should be the same as output_rank for columnHow to compile Tensorflow with SSE4.2 and AVX instructions?Changing Tensorflow number of convolutional and pooling layers using MNIST datasetYour CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2python ,1 positional argument but 2 were givenPreprocessing CSV data using tensorflow DataSet APITensorflow custom Estimator with Dataset API: embedding lookup (feature_column) NMT taskTensorflow: NotImplementedError: The reduce() transformation does not currently support nested datasets as inputsHow to translate deprecated tf.train.QueueRunners tensorflow approach to importing data to new tf.data.Dataset approachTensorflow dynamic_rnn deprecation

.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty height:90px;width:728px;box-sizing:border-box;

1

I am trying without success to update my code with the instruction given in the tensorflow documentation (api r1.13). I am using the tf.data.experimental.CsvDataset and the deprecated tf.contrib.data.sliding_window_batch for a RNN and all works fine (except the deprecated sliding_window warning message).

For the update I have simply replaced

dataset = dataset.apply(tf.contrib.data.sliding_window_batch(batch_size, 1))

with

dataset = dataset.window(size=batch_size, stride=1).flat_map(lambda x: x.batch(batch_size))

and I got the following error for a csv file with 50 columns:

TypeError: <lambda>() takes 1 positional argument but 50 were given

How can I solve this problem for any csv file (with any number of columns)?

python-3.x csv tensorflow deprecated sliding-window

share|improve this question

asked Mar 22 at 22:33

UrianUrian

234

add a comment | 

1

I am trying without success to update my code with the instruction given in the tensorflow documentation (api r1.13). I am using the tf.data.experimental.CsvDataset and the deprecated tf.contrib.data.sliding_window_batch for a RNN and all works fine (except the deprecated sliding_window warning message).

For the update I have simply replaced

dataset = dataset.apply(tf.contrib.data.sliding_window_batch(batch_size, 1))

with

dataset = dataset.window(size=batch_size, stride=1).flat_map(lambda x: x.batch(batch_size))

and I got the following error for a csv file with 50 columns:

TypeError: <lambda>() takes 1 positional argument but 50 were given

How can I solve this problem for any csv file (with any number of columns)?

python-3.x csv tensorflow deprecated sliding-window

share|improve this question

asked Mar 22 at 22:33

UrianUrian

234

add a comment | 

I am trying without success to update my code with the instruction given in the tensorflow documentation (api r1.13). I am using the tf.data.experimental.CsvDataset and the deprecated tf.contrib.data.sliding_window_batch for a RNN and all works fine (except the deprecated sliding_window warning message).

For the update I have simply replaced

dataset = dataset.apply(tf.contrib.data.sliding_window_batch(batch_size, 1))

with

dataset = dataset.window(size=batch_size, stride=1).flat_map(lambda x: x.batch(batch_size))

and I got the following error for a csv file with 50 columns:

TypeError: <lambda>() takes 1 positional argument but 50 were given

How can I solve this problem for any csv file (with any number of columns)?

python-3.x csv tensorflow deprecated sliding-window

share|improve this question

asked Mar 22 at 22:33

UrianUrian

234

dataset = dataset.apply(tf.contrib.data.sliding_window_batch(batch_size, 1))

dataset = dataset.window(size=batch_size, stride=1).flat_map(lambda x: x.batch(batch_size))

TypeError: <lambda>() takes 1 positional argument but 50 were given

share|improve this question

asked Mar 22 at 22:33

UrianUrian

234

share|improve this question

asked Mar 22 at 22:33

UrianUrian

234

asked Mar 22 at 22:33

UrianUrian

234

asked Mar 22 at 22:33

UrianUrian

234