Revert "Bumped minor version from 1.4.0 to 1.5.0 on master, updated L…

…icense file" (apache#13558)

* Revert "Chi_square_check for discrete distribution fix (apache#13543)"

This reverts commit cf6e8cb.

* Revert "Updated docs for randint operator (apache#13541)"

This reverts commit e0ff3c3.

* Revert "Simplifications and some fun stuff for the MNIST Gluon tutorial (apache#13094)"

This reverts commit 8bbac82.

* Revert "Fix apache#13521 (apache#13537)"

This reverts commit f6b4665.

* Revert "Add a retry to qemu_provision (apache#13551)"

This reverts commit f6f8401.

* Revert "[MXNET-769] Use MXNET_HOME in a tempdir in windows to prevent access denied due t… (apache#13531)"

This reverts commit bd8e0f8.

* Revert "[MXNET-1249] Fix Object Detector Performance with GPU (apache#13522)"

This reverts commit 1c8972c.

* Revert "Fixing a 404 in the ubuntu setup doc (apache#13542)"

This reverts commit cb0db29.

* Revert "Bumped minor version from 1.4.0 to 1.5.0 on master, updated License file (apache#13478)"

This reverts commit 40db619.

CMakeLists.txt

@@ -227,7 +227,6 @@ if(USE_MKLDNN)
   include(cmake/DownloadMKLML.cmake)
   # CPU architecture (e.g., C5) can't run on another architecture (e.g., g3).
   if(NOT MSVC)
-    set(MKLDNN_LIBRARY_TYPE "STATIC" CACHE INTERNAL "" FORCE)
     set(ARCH_OPT_FLAGS "-mtune=generic")
   else()
     set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} /EHsc")

LICENSE

@@ -218,20 +218,16 @@
     1. MXNet Cpp-package - For details, /cpp-package/LICENSE
     2. MXNet rcnn - For details, see, example/rcnn/LICENSE
     3. scala-package - For details, see, scala-package/LICENSE
-    4. Warp-CTC - For details, see, 3rdparty/ctc_include/LICENSE
+    4. Warp-CTC - For details, see, src/operator/contrib/ctc_include/LICENSE
     5. 3rdparty/dlpack - For details, see, 3rdparty/dlpack/LICENSE
     6. 3rdparty/dmlc-core - For details, see, 3rdparty/dmlc-core/LICENSE
     7. 3rdparty/mshadow - For details, see, 3rdparty/mshadow/LICENSE
     8. 3rdparty/tvm - For details, see, 3rdparty/tvm/LICENSE
     9. 3rdparty/tvm/dmlc-core - For details, see, 3rdparty/tvm/dmlc-core/LICENSE
-    10. 3rdparty/tvm/dlpack - For details, see, 3rdparty/tvm/3rdparty/dlpack/LICENSE
-    11. 3rdparty/tvm/nnvm - For details, see, 3rdparty/tvm/nnvm/LICENSE
-    12. 3rdparty/ps-lite - For details, see, 3rdparty/ps-lite/LICENSE
-    13. 3rdparty/mkldnn - For details, see, 3rdparty/mkldnn/LICENSE
-    14. googlemock scripts/generator - For details, see, 3rdparty/googletest/googlemock/scripts/generator/LICENSE
-    15. clojure-package - For details, see, contrib/clojure-package/LICENSE
-    16. R-package - For details, see, R-package/LICENSE
-    17. ONNX-TensorRT benchmark package - For details, see, 3rdparty/onnx-tensorrt/third_party/onnx/third_party/benchmark/LICENSE
+    10. 3rdparty/tvm/nnvm - For details, see, 3rdparty/tvm/nnvm/LICENSE
+    11. 3rdparty/ps-lite - For details, see, 3rdparty/ps-lite/LICENSE
+    12. 3rdparty/mkldnn - For details, see, 3rdparty/mkldnn/LICENSE
+    13. googlemock scripts/generator - For details, see, 3rdparty/googletest/googlemock/scripts/generator/LICENSE
 
 
     =======================================================================================
@@ -243,17 +239,14 @@
     3. tree_lstm - For details, see example/gluon/tree_lstm/LICENSE
     4. OpenMP - For details, see 3rdparty/openmp/LICENSE.txt
     5. HalideIR - For details, see nnvm/tvm/HalideIR/LICENSE
-    6. HalideIR - For details, see 3rdparty/tvm/3rdparty/HalideIR/LICENSE
-    7. ONNX-TensorRT - For details, see 3rdparty/onnx-tensorrt/LICENSE
-    8. ONNX-TensorRT - For details, see 3rdparty/onnx-tensorrt/third_party/onnx/LICENSE
 
 
     =======================================================================================
     NVIDIA Licenses
     =======================================================================================
 
     1. Moderngpu
-    For details, see, 3rdparty/ctc_include/contrib/moderngpu/LICENSE
+    For details, see, src/operator/contrib/ctc_include/contrib/moderngpu/LICENSE
 
     /******************************************************************************
     * Redistribution and use in source and binary forms, with or without
@@ -566,79 +559,4 @@
     #  (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
     #  OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 
-    =======================================================================================
-
-    12. Google tests
-        For details, ses, 3rdparty/mkldnn/tests/gtests/gtest/LICENSE
-
-    Copyright 2008, Google Inc.
-    All rights reserved.
-
-    Redistribution and use in source and binary forms, with or without
-    modification, are permitted provided that the following conditions are
-    met:
-
-        * Redistributions of source code must retain the above copyright
-    notice, this list of conditions and the following disclaimer.
-        * Redistributions in binary form must reproduce the above
-    copyright notice, this list of conditions and the following disclaimer
-    in the documentation and/or other materials provided with the
-    distribution.
-        * Neither the name of Google Inc. nor the names of its
-    contributors may be used to endorse or promote products derived from
-    this software without specific prior written permission.
-
-    THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
-    "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
-    LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
-    A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
-    OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
-    SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
-    LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
-    DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
-    THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
-    (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-    OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-
-    =======================================================================================
-
-    13. ONNX python bindings
-    For details, see, 3rdparty/onnx-tensorrt/third_party/onnx/third_party/pybind11/LICENSE
-
-    Copyright (c) 2016 Wenzel Jakob <[email protected]>, All rights reserved.
-
-    Redistribution and use in source and binary forms, with or without
-    modification, are permitted provided that the following conditions are met:
-
-    1. Redistributions of source code must retain the above copyright notice, this
-       list of conditions and the following disclaimer.
-
-    2. Redistributions in binary form must reproduce the above copyright notice,
-       this list of conditions and the following disclaimer in the documentation
-       and/or other materials provided with the distribution.
-
-    3. Neither the name of the copyright holder nor the names of its contributors
-       may be used to endorse or promote products derived from this software
-       without specific prior written permission.
-
-    THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
-    ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
-    WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
-    DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
-    FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
-    DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
-    SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-    CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
-    OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-    OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-
-    You are under no obligation whatsoever to provide any bug fixes, patches, or
-    upgrades to the features, functionality or performance of the source code
-    ("Enhancements") to anyone; however, if you choose to make your Enhancements
-    available either publicly, or directly to the author of this software, without
-    imposing a separate written license agreement for such Enhancements, then you
-    hereby grant the following license: a non-exclusive, royalty-free perpetual
-    license to install, use, modify, prepare derivative works, incorporate into
-    other computer software, distribute, and sublicense such enhancements or
-    derivative works thereof, in binary and source code form.
 

Makefile

@@ -131,13 +131,8 @@ ifeq ($(USE_MKLDNN), 1)
 		CFLAGS += -I$(MKLROOT)/include
 		LDFLAGS += -L$(MKLROOT)/lib
 	endif
-	# MKLDNN but to needs to be dynamically linked for windows as not all VS compilers support static linking
-	ifneq ($(UNAME_S), Windows)
-		LIB_DEP += $(MKLDNNROOT)/lib/libmkldnn.a
-	else
-		CFLAGS += -I$(MKLDNNROOT)/include
-		LDFLAGS += -L$(MKLDNNROOT)/lib -lmkldnn -Wl,-rpath,'$${ORIGIN}'
-	endif
+	CFLAGS += -I$(MKLDNNROOT)/include
+	LDFLAGS += -L$(MKLDNNROOT)/lib -lmkldnn -Wl,-rpath,'$${ORIGIN}'
 endif
 
 # setup opencv

R-package/DESCRIPTION

@@ -1,17 +1,17 @@
 Package: mxnet
 Type: Package
 Title: MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
-Version: 1.5.0
+Version: 1.4.0
 Date: 2017-06-27
 Author: Tianqi Chen, Qiang Kou, Tong He
-Maintainer: Qiang Kou <[email protected]>, anirudhacharya <https://github.com/anirudhacharya>
-Repository: Apache
+Maintainer: Qiang Kou <[email protected]>
+Repository: DMLC
 Description: MXNet is a deep learning framework designed for both efficiency
     and flexibility. It allows you to mix the flavours of deep learning programs
     together to maximize the efficiency and your productivity.
 License: Apache License (== 2.0)
-URL: https://github.com/apache/incubator-mxnet/tree/master/R-package
-BugReports: https://github.com/apache/incubator-mxnet/issues
+URL: https://github.com/dmlc/mxnet/tree/master/R-package
+BugReports: https://github.com/dmlc/mxnet/issues
 Imports:
     methods,
     Rcpp (>= 0.12.1),

ci/docker/runtime_functions.sh

@@ -629,6 +629,9 @@ build_ubuntu_gpu_cmake_mkldnn() {
         /work/mxnet
 
     ninja -v
+    # libmkldnn.so.0 is a link file. We need an actual binary file named libmkldnn.so.0.
+    cp 3rdparty/mkldnn/src/libmkldnn.so.0 3rdparty/mkldnn/src/libmkldnn.so.0.tmp
+    mv 3rdparty/mkldnn/src/libmkldnn.so.0.tmp 3rdparty/mkldnn/src/libmkldnn.so.0
 }
 
 build_ubuntu_gpu_cmake() {

ci/jenkins/Jenkins_steps.groovy

@@ -23,19 +23,19 @@
 utils = load('ci/Jenkinsfile_utils.groovy')
 
 // mxnet libraries
-mx_lib = 'lib/libmxnet.so, lib/libmxnet.a, lib/libiomp5.so, lib/libmklml_intel.so, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a'
+mx_lib = 'lib/libmxnet.so, lib/libmxnet.a, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a'
 
 // Python wheels
 mx_pip = 'build/*.whl'
 
 // for scala build, need to pass extra libs when run with dist_kvstore
-mx_dist_lib = 'lib/libmxnet.so, lib/libmxnet.a, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a, 3rdparty/ps-lite/build/libps.a, deps/lib/libprotobuf-lite.a, deps/lib/libzmq.a, lib/libmkldnn.a'
+mx_dist_lib = 'lib/libmxnet.so, lib/libmxnet.a, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a, 3rdparty/ps-lite/build/libps.a, deps/lib/libprotobuf-lite.a, deps/lib/libzmq.a'
 // mxnet cmake libraries, in cmake builds we do not produce a libnvvm static library by default.
 mx_cmake_lib = 'build/libmxnet.so, build/libmxnet.a, build/3rdparty/dmlc-core/libdmlc.a, build/tests/mxnet_unit_tests, build/3rdparty/openmp/runtime/src/libomp.so'
 // mxnet cmake libraries, in cmake builds we do not produce a libnvvm static library by default.
 mx_cmake_lib_debug = 'build/libmxnet.so, build/libmxnet.a, build/3rdparty/dmlc-core/libdmlc.a, build/tests/mxnet_unit_tests'
-mx_cmake_mkldnn_lib = 'build/libmxnet.so, build/libmxnet.a, build/3rdparty/dmlc-core/libdmlc.a, build/tests/mxnet_unit_tests, build/3rdparty/openmp/runtime/src/libomp.so'
-mx_mkldnn_lib = 'lib/libmxnet.so, lib/libmxnet.a, lib/libiomp5.so, lib/libmklml_intel.so, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a'
+mx_cmake_mkldnn_lib = 'build/libmxnet.so, build/libmxnet.a, build/3rdparty/dmlc-core/libdmlc.a, build/tests/mxnet_unit_tests, build/3rdparty/openmp/runtime/src/libomp.so, build/3rdparty/mkldnn/src/libmkldnn.so.0'
+mx_mkldnn_lib = 'lib/libmxnet.so, lib/libmxnet.a, lib/libiomp5.so, lib/libmkldnn.so.0, lib/libmklml_intel.so, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a'
 mx_tensorrt_lib = 'lib/libmxnet.so, lib/libnvonnxparser_runtime.so.0, lib/libnvonnxparser.so.0, lib/libonnx_proto.so, lib/libonnx.so'
 mx_lib_cpp_examples = 'lib/libmxnet.so, lib/libmxnet.a, 3rdparty/dmlc-core/libdmlc.a, 3rdparty/tvm/nnvm/lib/libnnvm.a, 3rdparty/ps-lite/build/libps.a, deps/lib/libprotobuf-lite.a, deps/lib/libzmq.a, build/cpp-package/example/*'
 mx_lib_cpp_examples_cpu = 'build/libmxnet.so, build/cpp-package/example/*'

contrib/clojure-package/README.md

@@ -105,9 +105,9 @@ brew install opencv
 - Create a new project with `lein new my-mxnet`
 - Edit your `project.clj` and add one of the following entries to `:dependencies`, based on your system and the compute device you want to use:
 
-  - `[org.apache.mxnet.contrib.clojure/clojure-mxnet-linux-cpu "1.5.0"]`
-  - `[org.apache.mxnet.contrib.clojure/clojure-mxnet-linux-gpu "1.5.0"]`
-  - `[org.apache.mxnet.contrib.clojure/clojure-mxnet-osx-cpu "1.5.0"]`
+  - `[org.apache.mxnet.contrib.clojure/clojure-mxnet-linux-cpu "1.4.0"]`
+  - `[org.apache.mxnet.contrib.clojure/clojure-mxnet-linux-gpu "1.4.0"]`
+  - `[org.apache.mxnet.contrib.clojure/clojure-mxnet-osx-cpu "1.4.0"]`
 
 After making this change and running `lein deps`, you should be able to run example code like this [NDArray Tutorial](https://github.com/apache/incubator-mxnet/blob/master/contrib/clojure-package/examples/tutorial/src/tutorial/ndarray.clj).
 
@@ -116,20 +116,20 @@ After making this change and running `lein deps`, you should be able to run exam
 With this option, you will install a Git revision of the Clojure package source and a [Scala package jar from Maven](https://search.maven.org/search?q=g:org.apache.mxnet) with native dependencies baked in.
 
 - Install additional dependencies as described in [the corresponding section for Option 1](#installing-additional-dependencies),
-- Recursively clone the MXNet repository and checkout the desired revision. Here we assume the `1.5.0` tag and a clone into the `~/mxnet` directory:
+- Recursively clone the MXNet repository and checkout the desired revision. Here we assume the `1.4.0` tag and a clone into the `~/mxnet` directory:
 
   ```bash
   git clone --recursive https://github.com/apache/incubator-mxnet.git ~/mxnet
   cd ~/mxnet
   git tag --list  # Find the tag that matches the Scala package version
-  git checkout tags/1.5.0 -b my_mxnet
+  git checkout tags/1.4.0 -b my_mxnet
   git submodule update --init --recursive
   cd contrib/clojure
   ```
 
 - Edit `project.clj` to include the desired Scala jar from Maven:
 
-      [org.apache.mxnet/mxnet-full_2.11-linux-x86_64-cpu "1.5.0”]
+      [org.apache.mxnet/mxnet-full_2.11-linux-x86_64-cpu "1.4.0”]
 
 - Run `lein test`. All the tests should run without error.
 - At this point you can run `lein install` to build and install the Clojure jar locally.
@@ -147,7 +147,7 @@ The first step is to recursively clone the MXNet repository and checkout the des
   ```bash
   git clone --recursive https://github.com/apache/incubator-mxnet.git ~/mxnet
   cd ~/mxnet
-  git checkout tags/1.5.0 -b my_mxnet  # this is optional
+  git checkout tags/1.4.0 -b my_mxnet  # this is optional
   git submodule update --init --recursive
   ```
 
@@ -176,7 +176,7 @@ The outcome of this step will be a shared library `lib/libmxnet.so` that is used
 
 #### Building the Clojure jar
  
-- Enter the `contrib/clojure` directory and edit the `project.clj` file. Add the Scala jar that was just created and installed, e.g., `[org.apache.mxnet/mxnet-full_2.11-osx-x86_64-cpu "1.5.0-SNAPSHOT"]`, to the `:dependencies`.
+- Enter the `contrib/clojure` directory and edit the `project.clj` file. Add the Scala jar that was just created and installed, e.g., `[org.apache.mxnet/mxnet-full_2.11-osx-x86_64-cpu "1.4.0-SNAPSHOT"]`, to the `:dependencies`.
 - Run `lein test`. All the tests should run without an error.
 - Run `lein install` to build and install the Clojure jar locally.
 

contrib/clojure-package/examples/cnn-text-classification/project.clj

@@ -19,6 +19,6 @@
   :description "CNN text classification with MXNet"
   :plugins [[lein-cljfmt "0.5.7"]]
   :dependencies [[org.clojure/clojure "1.9.0"]
-                 [org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
+                 [org.apache.mxnet.contrib.clojure/clojure-mxnet "1.4.0-SNAPSHOT"]]
   :pedantic? :skip
   :main cnn-text-classification.classifier)

contrib/clojure-package/examples/gan/project.clj

@@ -19,6 +19,6 @@
   :description "GAN MNIST with MXNet"
   :plugins [[lein-cljfmt "0.5.7"]]
   :dependencies [[org.clojure/clojure "1.9.0"]
-                 [org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]
+                 [org.apache.mxnet.contrib.clojure/clojure-mxnet "1.4.0-SNAPSHOT"]
                  [nu.pattern/opencv "2.4.9-7"]]
   :main gan.gan-mnist)

contrib/clojure-package/examples/imclassification/project.clj

@@ -19,6 +19,6 @@
   :description "Clojure examples for image classification"
   :plugins [[lein-cljfmt "0.5.7"]]
   :dependencies [[org.clojure/clojure "1.9.0"]
-                 [org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
+                 [org.apache.mxnet.contrib.clojure/clojure-mxnet "1.4.0-SNAPSHOT"]]
   :pedantic? :skip
   :main imclassification.train-mnist)

contrib/clojure-package/examples/module/project.clj

@@ -19,7 +19,7 @@
   :description "Clojure examples for module"
   :plugins [[lein-cljfmt "0.5.7"]]
   :dependencies [[org.clojure/clojure "1.9.0"]
-                 [org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
+                 [org.apache.mxnet.contrib.clojure/clojure-mxnet "1.4.0-SNAPSHOT"]]
   :pedantic? :skip
   :main mnist-mlp)
 

contrib/clojure-package/examples/multi-label/project.clj

@@ -19,5 +19,5 @@
   :description "Example of multi-label classification"
   :plugins [[lein-cljfmt "0.5.7"]]
   :dependencies [[org.clojure/clojure "1.9.0"]
-                 [org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
+                 [org.apache.mxnet.contrib.clojure/clojure-mxnet "1.4.0-SNAPSHOT"]]
   :main multi-label.core)

contrib/clojure-package/examples/neural-style/project.clj

@@ -19,7 +19,7 @@
   :description "Neural Style Transfer with MXNet"
   :plugins [[lein-cljfmt "0.5.7"]]
   :dependencies [[org.clojure/clojure "1.9.0"]
-                 [org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]
+                 [org.apache.mxnet.contrib.clojure/clojure-mxnet "1.4.0-SNAPSHOT"]
                  [net.mikera/imagez "0.12.0"]
                  [thinktopic/think.image "0.4.16"]]
   :main neural-style.core)

contrib/clojure-package/examples/pre-trained-models/project.clj

@@ -19,7 +19,7 @@
   :description "Example of using pre-trained models with MXNet"
   :plugins [[lein-cljfmt "0.5.7"]]
   :dependencies [[org.clojure/clojure "1.9.0"]
-                 [org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]
+                 [org.apache.mxnet.contrib.clojure/clojure-mxnet "1.4.0-SNAPSHOT"]
                  [net.mikera/imagez "0.12.0"]
                  [thinktopic/think.image "0.4.16"]]
   :main pre-trained-models.fine-tune)

contrib/clojure-package/examples/profiler/project.clj

@@ -18,5 +18,5 @@
 (defproject profiler "0.1.0-SNAPSHOT"
   :plugins [[lein-cljfmt "0.5.7"]]
   :dependencies [[org.clojure/clojure "1.9.0"]
-                 [org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
+                 [org.apache.mxnet.contrib.clojure/clojure-mxnet "1.4.0-SNAPSHOT"]]
   :main profiler.core)

contrib/clojure-package/examples/rnn/project.clj

@@ -19,5 +19,5 @@
   :description "RNN example"
   :plugins [[lein-cljfmt "0.5.7"]]
   :dependencies [[org.clojure/clojure "1.9.0"]
-                 [org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
+                 [org.apache.mxnet.contrib.clojure/clojure-mxnet "1.4.0-SNAPSHOT"]]
   :main rnn.train-char-rnn)

contrib/clojure-package/examples/tutorial/project.clj

@@ -20,6 +20,6 @@
   :plugins [[lein-cljfmt "0.5.7"]]
   :dependencies [[org.clojure/clojure "1.9.0"]
                  ;; Uncomment the one appropriate for your machine & configuration:
-                 #_[org.apache.mxnet.contrib.clojure/clojure-mxnet-linux-cpu "1.5.0"]
-                 #_[org.apache.mxnet.contrib.clojure/clojure-mxnet-linux-gpu "1.5.0"]
-                 #_[org.apache.mxnet.contrib.clojure/clojure-mxnet-osx-cpu "1.5.0"]])
+                 #_[org.apache.mxnet.contrib.clojure/clojure-mxnet-linux-cpu "1.4.0"]
+                 #_[org.apache.mxnet.contrib.clojure/clojure-mxnet-linux-gpu "1.4.0"]
+                 #_[org.apache.mxnet.contrib.clojure/clojure-mxnet-osx-cpu "1.4.0"]])

contrib/clojure-package/examples/visualization/project.clj

@@ -19,5 +19,5 @@
   :description "Visualization example"
   :plugins [[lein-cljfmt "0.5.7"]]
   :dependencies [[org.clojure/clojure "1.9.0"]
-                 [org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
+                 [org.apache.mxnet.contrib.clojure/clojure-mxnet "1.4.0-SNAPSHOT"]]
   :main visualization.core)