This page was generated on 2019-12-17 12:00:40 -0500 (Tue, 17 Dec 2019).
scAlign 1.1.6 Nelson Johansen
Snapshot Date: 2019-12-16 16:46:10 -0500 (Mon, 16 Dec 2019) |
URL: https://git.bioconductor.org/packages/scAlign |
Branch: master |
Last Commit: f0bd401 |
Last Changed Date: 2019-12-02 15:24:39 -0500 (Mon, 02 Dec 2019) |
| malbec2 | Linux (Ubuntu 18.04.3 LTS) / x86_64 | OK | OK | [ WARNINGS ] | | |
celaya2 | OS X 10.11.6 El Capitan / x86_64 | OK | OK | OK | OK | |
R Under development (unstable) (2019-12-14 r77569) -- "Unsuffered Consequences"
Copyright (C) 2019 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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> library(testthat)
>
> test_check("scAlign")
Loading required package: scAlign
Loading required package: SingleCellExperiment
Loading required package: SummarizedExperiment
Loading required package: GenomicRanges
Loading required package: stats4
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, sd, var, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, basename, cbind, colnames, dirname, do.call,
duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
tapply, union, unique, unsplit, which, which.max, which.min
Loading required package: S4Vectors
Attaching package: 'S4Vectors'
The following object is masked from 'package:base':
expand.grid
Loading required package: IRanges
Loading required package: GenomeInfoDb
Loading required package: Biobase
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
Loading required package: DelayedArray
Loading required package: matrixStats
Attaching package: 'matrixStats'
The following objects are masked from 'package:Biobase':
anyMissing, rowMedians
Loading required package: BiocParallel
Attaching package: 'DelayedArray'
The following objects are masked from 'package:matrixStats':
colMaxs, colMins, colRanges, rowMaxs, rowMins, rowRanges
The following objects are masked from 'package:base':
aperm, apply, rowsum
Loading required package: Seurat
Attaching package: 'Seurat'
The following object is masked from 'package:SummarizedExperiment':
Assays
Loading required package: tensorflow
/usr/lib/python2.7/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
from ._conv import register_converters as _register_converters
Loading required package: purrr
Attaching package: 'purrr'
The following object is masked from 'package:DelayedArray':
simplify
The following object is masked from 'package:GenomicRanges':
reduce
The following object is masked from 'package:IRanges':
reduce
The following object is masked from 'package:testthat':
is_null
Loading required package: irlba
Loading required package: Matrix
Attaching package: 'Matrix'
The following object is masked from 'package:S4Vectors':
expand
Loading required package: Rtsne
Loading required package: ggplot2
Loading required package: FNN
Loading required package: PMA
WARNING: Logging before flag parsing goes to stderr.
W1217 07:08:59.862076 140689707673536 deprecation_wrapper.py:119] From /usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation_wrapper.py:119: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.
2019-12-17 07:08:59.887877: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-12-17 07:08:59.895911: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2397245000 Hz
2019-12-17 07:08:59.897035: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55cc2e302140 executing computations on platform Host. Devices:
2019-12-17 07:08:59.897077: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): <undefined>, <undefined>
W1217 07:08:59.902475 140689707673536 deprecation.py:323] From /usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation.py:320: Print (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2018-08-20.
Instructions for updating:
Use tf.print instead of tf.Print. Note that tf.print returns a no-output operator that directly prints the output. Outside of defuns or eager mode, this operator will not be executed unless it is directly specified in session.run or used as a control dependency for other operators. This is only a concern in graph mode. Below is an example of how to ensure tf.print executes in graph mode:
```python
sess = tf.compat.v1.Session()
with sess.as_default():
tensor = tf.range(10)
print_op = tf.print(tensor)
with tf.control_dependencies([print_op]):
out = tf.add(tensor, tensor)
sess.run(out)
```
Additionally, to use tf.print in python 2.7, users must make sure to import
the following:
`from __future__ import print_function`
TensorFlow check: [Passed]
[1] "Computing CCA using Seurat."
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TensorFlow check: [Passed]
W1217 07:09:02.915209 140689707673536 deprecation_wrapper.py:119] From /usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation_wrapper.py:119: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.
W1217 07:09:02.916344 140689707673536 deprecation_wrapper.py:119] From /usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation_wrapper.py:119: The name tf.GPUOptions is deprecated. Please use tf.compat.v1.GPUOptions instead.
[1] "============== Step 1/3: Encoder training ==============="
[1] "Graph construction"
W1217 07:09:02.932030 140689707673536 deprecation_wrapper.py:119] From /usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation_wrapper.py:119: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.
W1217 07:09:02.956711 140689707673536 deprecation.py:323] From /usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation.py:320: make_initializable_iterator (from tensorflow.python.data.ops.dataset_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `for ... in dataset:` to iterate over a dataset. If using `tf.estimator`, return the `Dataset` object directly from your input function. As a last resort, you can use `tf.compat.v1.data.make_initializable_iterator(dataset)`.
W1217 07:09:03.034645 140689707673536 deprecation_wrapper.py:119] From /usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation_wrapper.py:119: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.
W1217 07:09:03.865923 140689707673536 lazy_loader.py:50]
The TensorFlow contrib module will not be included in TensorFlow 2.0.
For more information, please see:
* https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
* https://github.com/tensorflow/addons
* https://github.com/tensorflow/io (for I/O related ops)
If you depend on functionality not listed there, please file an issue.
W1217 07:09:03.872339 140689707673536 deprecation.py:323] From /usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation.py:320: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.dense instead.
W1217 07:09:04.502445 140689707673536 deprecation.py:323] From /usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation.py:320: batch_normalization (from tensorflow.python.layers.normalization) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.BatchNormalization instead. In particular, `tf.control_dependencies(tf.GraphKeys.UPDATE_OPS)` should not be used (consult the `tf.keras.layers.batch_normalization` documentation).
W1217 07:09:04.636362 140689707673536 deprecation.py:323] From /usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation.py:320: dropout (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.dropout instead.
W1217 07:09:04.952860 140689707673536 deprecation.py:506] From /usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/init_ops.py:1251: calling __init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Call initializer instance with the dtype argument instead of passing it to the constructor
[1] "Adding source walker loss"
W1217 07:09:05.787045 140689707673536 deprecation.py:323] From /home/biocbuild/bbs-3.11-bioc/R/library/reticulate/python/rpytools/call.py:13: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
W1217 07:09:05.930103 140689707673536 deprecation_wrapper.py:119] From /usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation_wrapper.py:119: The name tf.losses.softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.softmax_cross_entropy instead.
W1217 07:09:06.001511 140689707673536 deprecation_wrapper.py:119] From /usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation_wrapper.py:119: The name tf.summary.histogram is deprecated. Please use tf.compat.v1.summary.histogram instead.
W1217 07:09:06.066340 140689707673536 deprecation_wrapper.py:119] From /usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation_wrapper.py:119: The name tf.summary.scalar is deprecated. Please use tf.compat.v1.summary.scalar instead.
[1] "Adding target walker loss"
W1217 07:09:06.612191 140689707673536 deprecation_wrapper.py:119] From /usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation_wrapper.py:119: The name tf.train.get_or_create_global_step is deprecated. Please use tf.compat.v1.train.get_or_create_global_step instead.
W1217 07:09:06.622867 140689707673536 deprecation_wrapper.py:119] From /usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation_wrapper.py:119: The name tf.train.exponential_decay is deprecated. Please use tf.compat.v1.train.exponential_decay instead.
W1217 07:09:06.633604 140689707673536 deprecation_wrapper.py:119] From /usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation_wrapper.py:119: The name tf.losses.get_total_loss is deprecated. Please use tf.compat.v1.losses.get_total_loss instead.
W1217 07:09:06.636976 140689707673536 deprecation_wrapper.py:119] From /usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation_wrapper.py:119: The name tf.train.AdamOptimizer is deprecated. Please use tf.compat.v1.train.AdamOptimizer instead.
W1217 07:09:08.294931 140689707673536 deprecation_wrapper.py:119] From /usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation_wrapper.py:119: The name tf.summary.merge_all is deprecated. Please use tf.compat.v1.summary.merge_all instead.
W1217 07:09:08.305593 140689707673536 deprecation_wrapper.py:119] From /usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation_wrapper.py:119: The name tf.logging.set_verbosity is deprecated. Please use tf.compat.v1.logging.set_verbosity instead.
W1217 07:09:08.307059 140689707673536 deprecation_wrapper.py:119] From /usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation_wrapper.py:119: The name tf.logging.FATAL is deprecated. Please use tf.compat.v1.logging.FATAL instead.
2019-12-17 07:09:08.550915: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set. If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU. To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile.
[1] "Done random initialization"
[1] "Step: 1 Loss: 60.838"
[1] "Step: 100 Loss: 48.4254"
[1] "Step: 200 Loss: 40.8635"
[1] "Step: 300 Loss: 33.5267"
[1] "Step: 400 Loss: 33.9722"
[1] "Step: 500 Loss: 32.3504"
[1] "============== Alignment Complete =============="
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 3 | SKIPPED: 0 | WARNINGS: 1 | FAILED: 0 ]
>
> proc.time()
user system elapsed
181.788 29.462 71.265