[GitHub] [incubator-mxnet] connorgoggins commented on issue #17798: [Website 2.0] General Version Dropdown
connorgoggins commented on issue #17798: [Website 2.0] General Version Dropdown URL: https://github.com/apache/incubator-mxnet/issues/17798#issuecomment-602983199 Preview of the new website with my changes is available here: http://ec2-3-19-223-185.us-east-2.compute.amazonaws.com/ This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] aaronmarkham commented on issue #17798: [Website 2.0] General Version Dropdown
aaronmarkham commented on issue #17798: [Website 2.0] General Version Dropdown URL: https://github.com/apache/incubator-mxnet/issues/17798#issuecomment-602979201 > Thanks for the update! I've been meaning to ask: what's the part in the website that requires a webserver that a static hosting solution cannot replace? > > @aaronmarkham @ThomasDelteil feel free to chime in The Apache hosting is static. But, I think what you're looking for is the switch away from S3... As far as s3 goes, it's not meant to be a web server and various things don't work, like assumed index pages in roots of folders which make for a lot of broken links and other problems that web devs would expect to work. Jekyll, for one, wouldn't work out of the box with s3... The friendly/vanity urls won't work Maybe with loads of tweaking you could get it to work. IDK. I do miss the previews autogenerated with a PR's CI run. I think we could still do previews with s3 as long as cloudfront or something else sits in front of it. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] TaoLv commented on issue #17891: [DNNL] Enable primitive cache in build
TaoLv commented on issue #17891: [DNNL] Enable primitive cache in build URL: https://github.com/apache/incubator-mxnet/pull/17891#issuecomment-602978926 Thank you @leezu. The document will be rendered to the page here: https://intel.github.io/mkl-dnn/dev_guide_primitive_cache.html. I added the link to PR description. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] MonicaGu closed issue #17863: Inconsistent results in gluon.nn.BatchNorm with autograd.record()
MonicaGu closed issue #17863: Inconsistent results in gluon.nn.BatchNorm with autograd.record() URL: https://github.com/apache/incubator-mxnet/issues/17863 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] MonicaGu commented on issue #17863: Inconsistent results in gluon.nn.BatchNorm with autograd.record()
MonicaGu commented on issue #17863: Inconsistent results in gluon.nn.BatchNorm with autograd.record() URL: https://github.com/apache/incubator-mxnet/issues/17863#issuecomment-602976658 OK I see. Thank you. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] connorgoggins commented on issue #17798: [Website 2.0] General Version Dropdown
connorgoggins commented on issue #17798: [Website 2.0] General Version Dropdown URL: https://github.com/apache/incubator-mxnet/issues/17798#issuecomment-602976215 @szha thanks for your comment! The primary components that require a dynamic hosting solution are the API reference docs for each language in the latest versions (master, v1.6, and v1.x - future releases). For example, since we use Sphinx to generate the Python docs for the latest versions of the MXNet API, we need a build pipeline for the latest versions of the Python MXNet API that leverages Sphinx. We use other tools to dynamically build the docs for other languages (C++, Java, Julia, etc.), and they need to be called during the build process as well. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] szha commented on issue #17890: ndarray.cc:640 Check failed: !is_view
szha commented on issue #17890: ndarray.cc:640 Check failed: !is_view URL: https://github.com/apache/incubator-mxnet/issues/17890#issuecomment-602975167 > We don't release mxnet-mkl nightly build anymore I'm guessing this is also the culprit for mxnet-cu102mkl. @caishanli could you confirm the versions for your mxnet-cu102 and mxnet-cu102mkl setup? This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] szha commented on issue #17798: [Website 2.0] General Version Dropdown
szha commented on issue #17798: [Website 2.0] General Version Dropdown URL: https://github.com/apache/incubator-mxnet/issues/17798#issuecomment-602967783 Thanks for the update! I've been meaning to ask: what's the part in the website that requires a webserver that a static hosting solution cannot replace? @aaronmarkham @ThomasDelteil feel free to chime in This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] TaoLv commented on issue #17890: ndarray.cc:640 Check failed: !is_view
TaoLv commented on issue #17890: ndarray.cc:640 Check failed: !is_view URL: https://github.com/apache/incubator-mxnet/issues/17890#issuecomment-602967109 We don't release mxnet-mkl nightly build anymore. MKL-DNN has been enabled in the linux cpu build. You can try the latest one by: ``` pip install --pre mxnet -f https://dist.mxnet.io/python/cpu ``` This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] aaronmarkham opened a new issue #17895: update CentOS installation docs
aaronmarkham opened a new issue #17895: update CentOS installation docs URL: https://github.com/apache/incubator-mxnet/issues/17895 ## Description The [install instructions for CentOS](https://github.com/apache/incubator-mxnet/blob/master/docs/static_site/src/pages/get_started/centos_setup.md) are a couple years old. Check out the [CI scripts as a guide](https://github.com/apache/incubator-mxnet/blob/master/ci/docker/Dockerfile.build.centos7_cpu) to see what should be updated. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[incubator-mxnet-site] branch asf-site updated: Bump the publish timestamp.
This is an automated email from the ASF dual-hosted git repository. aaronmarkham pushed a commit to branch asf-site in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git The following commit(s) were added to refs/heads/asf-site by this push: new c1512b6 Bump the publish timestamp. c1512b6 is described below commit c1512b641ab2eb10e4cccdea11294cf069dc01e7 Author: mxnet-ci AuthorDate: Tue Mar 24 00:45:27 2020 + Bump the publish timestamp. --- date.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/date.txt b/date.txt new file mode 100644 index 000..43529dc --- /dev/null +++ b/date.txt @@ -0,0 +1 @@ +Tue Mar 24 00:45:27 UTC 2020
[GitHub] [incubator-mxnet] ChaiBapchya commented on issue #17894: [OpPerf] Fix axis_shape and function mismatch for LTS
ChaiBapchya commented on issue #17894: [OpPerf] Fix axis_shape and function mismatch for LTS URL: https://github.com/apache/incubator-mxnet/pull/17894#issuecomment-602931552 @mxnet-bot run ci [sanity] This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] ChaiBapchya commented on issue #17894: [OpPerf] Fix axis_shape and function mismatch for LTS
ChaiBapchya commented on issue #17894: [OpPerf] Fix axis_shape and function mismatch for LTS URL: https://github.com/apache/incubator-mxnet/pull/17894#issuecomment-602911795 @access2rohit Thanks for reminding This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] ChaiBapchya opened a new pull request #17894: [OpPerf] Fix axis_shape and function mismatch for LTS
ChaiBapchya opened a new pull request #17894: [OpPerf] Fix axis_shape and function mismatch for LTS URL: https://github.com/apache/incubator-mxnet/pull/17894 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] connorgoggins commented on issue #17798: [Website 2.0] General Version Dropdown
connorgoggins commented on issue #17798: [Website 2.0] General Version Dropdown URL: https://github.com/apache/incubator-mxnet/issues/17798#issuecomment-602833630 Update on progress so far: - Fixed broken components of static artifacts for old versions (internal/external links, menus, etc.) - Added missing supplemental content (missing tutorials, docs, etc.) to static artifacts for old versions - Implemented working general version dropdown menu capable of switching between old artifacts - Finished general version dropdown for master website (styling and functionality) - tested in browser w/inline changes to HTML/CSS, Jekyll build with changes passing on Jenkins After I obtain the artifact of the full master website build with my changes from Jenkins, I will deploy the files on an EC2 instance with public access over a specific port. You will then be able to preview my changes and provide feedback. @sandeep-krishnamurthy @aaronmarkham @szha @sojiadeshina @leezu This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] sxjscience opened a new issue #17893: [Bug][Numpy] Wrong gradient of np.where
sxjscience opened a new issue #17893: [Bug][Numpy] Wrong gradient of np.where URL: https://github.com/apache/incubator-mxnet/issues/17893 ## Description Example 1: Using np.where(array, array, scalar) ```python import mxnet as mx mx.npx.set_np() a = mx.np.array([1, 0, 1]) b = mx.np.array([2, 3, 4]) b.attach_grad() with mx.autograd.record(): c = mx.np.where(a, b, -1) c.backward() print(b.grad) ``` Output: [0. 1. 0.] Example 2: Using np.where(array, array, array) ```python import mxnet as mx mx.npx.set_np() a = mx.np.array([1, 0, 1]) b = mx.np.array([2, 3, 4]) b.attach_grad() with mx.autograd.record(): c = mx.np.where(a, b, mx.np.array([-1, -1, -1])) c.backward() print(b.grad) ``` Output: [1. 0. 1.] The second one is correct. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[incubator-mxnet] branch master updated (3840786 -> 9a355eb)
This is an automated email from the ASF dual-hosted git repository.
haoj pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 3840786 cmake: Set DMLC_LOG_FATAL_THROW only for building mxnet and
not for tvm (#17878)
add 9a355eb [Numpy] Kron operator (#17323)
No new revisions were added by this update.
Summary of changes:
benchmark/python/ffi/benchmark_ffi.py | 1 +
python/mxnet/ndarray/numpy/_op.py | 47 ++-
python/mxnet/numpy/multiarray.py | 48 ++-
python/mxnet/numpy_dispatch_protocol.py| 1 +
python/mxnet/symbol/numpy/_symbol.py | 48 ++-
.../operator/numpy/{np_memory_op.cc => np_kron.cc} | 11 +-
src/operator/numpy/np_kron-inl.h | 322 +
src/operator/numpy/np_kron.cc | 94 ++
src/operator/numpy/{np_dot.cu => np_kron.cu} | 14 +-
.../python/unittest/test_numpy_interoperability.py | 8 +
tests/python/unittest/test_numpy_op.py | 81 ++
11 files changed, 660 insertions(+), 15 deletions(-)
copy src/api/operator/numpy/{np_memory_op.cc => np_kron.cc} (84%)
create mode 100644 src/operator/numpy/np_kron-inl.h
create mode 100644 src/operator/numpy/np_kron.cc
copy src/operator/numpy/{np_dot.cu => np_kron.cu} (75%)
[GitHub] [incubator-mxnet] haojin2 merged pull request #17323: [Numpy] Kron operator
haojin2 merged pull request #17323: [Numpy] Kron operator URL: https://github.com/apache/incubator-mxnet/pull/17323 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[incubator-mxnet-site] branch asf-site updated: Bump the publish timestamp.
This is an automated email from the ASF dual-hosted git repository. aaronmarkham pushed a commit to branch asf-site in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git The following commit(s) were added to refs/heads/asf-site by this push: new 26c9dd7 Bump the publish timestamp. 26c9dd7 is described below commit 26c9dd7dc2d78fa2c6b62018cf5ac91ea87633b3 Author: mxnet-ci AuthorDate: Mon Mar 23 18:50:10 2020 + Bump the publish timestamp. --- date.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/date.txt b/date.txt new file mode 100644 index 000..bd618bd --- /dev/null +++ b/date.txt @@ -0,0 +1 @@ +Mon Mar 23 18:50:10 UTC 2020
[incubator-mxnet] branch master updated (83b5170 -> 3840786)
This is an automated email from the ASF dual-hosted git repository. lausen pushed a change to branch master in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git. from 83b5170 Add simplified HybridBlock.forward without F (#17530) add 3840786 cmake: Set DMLC_LOG_FATAL_THROW only for building mxnet and not for tvm (#17878) No new revisions were added by this update. Summary of changes: CMakeLists.txt | 88 +--- cmake/BuildTVM.cmake | 8 +++-- 2 files changed, 47 insertions(+), 49 deletions(-)
[GitHub] [incubator-mxnet] leezu closed issue #17875: USE_TVM_OP=1 build broken with DMLC_LOG_FATAL_THROW=0
leezu closed issue #17875: USE_TVM_OP=1 build broken with DMLC_LOG_FATAL_THROW=0 URL: https://github.com/apache/incubator-mxnet/issues/17875 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] leezu merged pull request #17878: Decouple LOG_FATAL_THROW prepocessor variables between TVM and MXNet
leezu merged pull request #17878: Decouple LOG_FATAL_THROW prepocessor variables between TVM and MXNet URL: https://github.com/apache/incubator-mxnet/pull/17878 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[incubator-mxnet] branch master updated: Add simplified HybridBlock.forward without F (#17530)
This is an automated email from the ASF dual-hosted git repository.
lausen pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/master by this push:
new 83b5170 Add simplified HybridBlock.forward without F (#17530)
83b5170 is described below
commit 83b51703ed354f41024423f140de38df2ba22d50
Author: Leonard Lausen
AuthorDate: Mon Mar 23 11:21:23 2020 -0700
Add simplified HybridBlock.forward without F (#17530)
Users can now implement HybridBlock.forward instead of
HybridBlock.hybrid_forward.
HybridBlock.forward has the same signature as Block.forward. For example:
class MyBlock(mx.gluon.HybridBlock):
def __init__(self, *, prefix=None, params=None):
super().__init__(prefix, params)
with self.name_scope():
self.dense = mx.gluon.nn.Dense(units=10)
self.weight = self.params.get('weight',
allow_deferred_init=True)
def infer_shape(self, x):
self.weight.shape = (x.shape[1], )
def forward(self, x):
return self.dense(x) + self.weight.data(x.context)
Hybridization of HybridBlock.forward is based on a deferred computation
mode in
the MXNet backend, which enables recording computation via tracing in the
mxnet.nd and mxnet.np interfaces. The recorded computation can be exported
to a
symbolic representation and is used for optimized execution with the
CachedOp.
As tracing is based on the imperative APIs, users can access shape
information
of the arrays. As x.shape for some array x is a python tuple, any use of
that
shape will be a constant in the recorded graph and may limit the recorded
graph
to be used with inputs of the same shape only.
As part of the change from hybrid_forward to forward, we also disable
support
for parameter shape inference in the MXNet backend in the case of deferred
parameter initialization. Shape inference in the backend was limited and
did by
it's very nature not support dynamic shape operators. Instead, users should
now
always implement HybridBlock.infer_shape to set the parameter shapes if the
parameter shape was not set during HybridBlock.__init__. See the example
above.
An example of the internal deferred compute APIs is:
a = mx.np.arange(10)
dc.set_variable(a, mx.sym.var('a').as_np_ndarray())
with dc.context():
b = a ** 2
symbol = dc.get_symbol(b)
---
include/mxnet/c_api.h | 42 ++
include/mxnet/imperative.h | 90 -
include/mxnet/ndarray.h| 61 ++-
python/mxnet/__init__.py | 2 +
python/mxnet/_deferred_compute.py | 106 +
python/mxnet/gluon/block.py| 103 -
python/mxnet/gluon/parameter.py| 8 +-
python/mxnet/ndarray/ndarray.py| 11 +-
python/mxnet/ndarray/sparse.py | 1 +
python/mxnet/numpy/multiarray.py | 16 +-
src/api/operator/utils.cc | 21 +-
src/c_api/c_api.cc | 17 +-
src/c_api/c_api_ndarray.cc | 55 ++-
src/imperative/cached_op.h | 2 +-
src/imperative/imperative.cc | 199 -
src/imperative/imperative_utils.h | 47 ++-
src/ndarray/ndarray.cc | 121 +-
tests/python/gpu/test_deferred_compute_gpu.py | 33 ++
tests/python/unittest/test_deferred_compute.py | 536 +
19 files changed, 1357 insertions(+), 114 deletions(-)
diff --git a/include/mxnet/c_api.h b/include/mxnet/c_api.h
index 637b31d..638385b 100644
--- a/include/mxnet/c_api.h
+++ b/include/mxnet/c_api.h
@@ -1423,6 +1423,44 @@ MXNET_DLL int MXCachedOpRegisterOpHook(NDArrayHandle
handle,
CachedOpMonitorCallback callback,
bool monitor_all);
+/*!
+ * \brief Get current status of deferred compute mode
+ * \param curr returns the current status.
+ * \return 0 when success, -1 when failure happens
+ */
+MXNET_DLL int MXNDArrayIsDeferredCompute(int *curr);
+
+/*!
+ * \brief set whether to enable deferred compute mode
+ * \param deferred_compute_enabled 1 to enable, 0 to disable.
+ * \param prev returns the previous status before this set.
+ * \return 0 when success, -1 when failure happens
+ */
+MXNET_DLL int MXNDArraySetIsDeferredCompute(int deferred_compute_enabled, int
*prev);
+
+/*!
+ * \brief Associate variables with deferred compute arrays
+ * \param arrays ndarray handles to be matched with variables
+ * \param variables symbol handles of variables to be matched with ndarrays
+ * \param num number of arrays and variables respectively
+ * \return 0 when success, -1 when
[GitHub] [incubator-mxnet] leezu merged pull request #17530: Add deferred compute support
leezu merged pull request #17530: Add deferred compute support URL: https://github.com/apache/incubator-mxnet/pull/17530 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] yzhliu commented on issue #17878: Decouple LOG_FATAL_THROW prepocessor variables between TVM and MXNet
yzhliu commented on issue #17878: Decouple LOG_FATAL_THROW prepocessor variables between TVM and MXNet URL: https://github.com/apache/incubator-mxnet/pull/17878#issuecomment-602758442 @leezu thanks for the finding and fix. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] leezu commented on issue #17891: [DNNL] Enable primitive cache in build
leezu commented on issue #17891: [DNNL] Enable primitive cache in build URL: https://github.com/apache/incubator-mxnet/pull/17891#issuecomment-602739593 Reference https://github.com/intel/mkl-dnn/blob/8d5fc054f7a8d2abc84c1315262f8d5ff12e1129/doc/advanced/primitive_cache.md This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[incubator-mxnet] branch master updated: Use FP32 copy of weights for norm (multitensor LAMB optimizer) (#17700)
This is an automated email from the ASF dual-hosted git repository.
haibin pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/master by this push:
new 8e39518 Use FP32 copy of weights for norm (multitensor LAMB
optimizer) (#17700)
8e39518 is described below
commit 8e3951876b3598c8b52606a467add5f239d88b38
Author: MoisesHer <50716238+moises...@users.noreply.github.com>
AuthorDate: Mon Mar 23 09:55:24 2020 -0700
Use FP32 copy of weights for norm (multitensor LAMB optimizer) (#17700)
* Use fp32 copy of weights for computing norm in LAMB optimizer
* Fix cpplint
---
src/operator/contrib/multi_lamb-inl.h | 12
1 file changed, 8 insertions(+), 4 deletions(-)
diff --git a/src/operator/contrib/multi_lamb-inl.h
b/src/operator/contrib/multi_lamb-inl.h
index 7fb186f..256445a 100644
--- a/src/operator/contrib/multi_lamb-inl.h
+++ b/src/operator/contrib/multi_lamb-inl.h
@@ -282,10 +282,14 @@ inline void MultiLAMB(const nnvm::NodeAttrs& attrs,
FillMultiLAMBKernelParam
(attrs, ctx, inputs, outputs, _params);
-// create vector of TBlob with all the weights contiguous
-std::vector weights;
+// create vector of TBlob with all the weights contiguous to compute the
norm
+// if mixed precision, use fp32 copy
+std::vector weights_for_norm;
+int position_weights = 0;
+if (!std::is_same::value)
+ position_weights = input_stride - 1;
for (size_t index = 0; index < kernel_params.ntensors; ++index) {
-weights.emplace_back(inputs[index*input_stride]);
+ weights_for_norm.emplace_back(inputs[index * input_stride +
position_weights]);
}
// Calculate amount of temporary storage (temp_g, r1, r2, block_to_tensor,
block_to_chunk)
@@ -327,7 +331,7 @@ inline void MultiLAMB(const nnvm::NodeAttrs& attrs,
Tensor
block_to_chunk(reinterpret_cast([pos_wspace]),
Shape1(kernel_params.nchunks), s);
-MultiSumSqRun(weights, kernel_params.ntensors, r1.dptr_, ctx);
+MultiSumSqRun(weights_for_norm, kernel_params.ntensors, r1.dptr_,
ctx);
CallKernel1(s, kernel_params, param, temp_g.dptr_,
block_to_tensor.dptr_,
block_to_chunk.dptr_);
[GitHub] [incubator-mxnet] eric-haibin-lin merged pull request #17700: Use FP32 copy of weights for norm (multitensor LAMB optimizer)
eric-haibin-lin merged pull request #17700: Use FP32 copy of weights for norm (multitensor LAMB optimizer) URL: https://github.com/apache/incubator-mxnet/pull/17700 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[incubator-mxnet] branch master updated (2f358fd -> b133899)
This is an automated email from the ASF dual-hosted git repository. haibin pushed a change to branch master in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git. from 2f358fd [Numpy] Add op fmax, fmin, fmod (#17567) add b133899 Use multi-tensor sumSQ in clip_global_norm (#17652) No new revisions were added by this update. Summary of changes: python/mxnet/gluon/utils.py| 24 tests/python/gpu/test_gluon_gpu.py | 14 +- 2 files changed, 25 insertions(+), 13 deletions(-)
[incubator-mxnet] branch master updated (2f358fd -> b133899)
This is an automated email from the ASF dual-hosted git repository. haibin pushed a change to branch master in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git. from 2f358fd [Numpy] Add op fmax, fmin, fmod (#17567) add b133899 Use multi-tensor sumSQ in clip_global_norm (#17652) No new revisions were added by this update. Summary of changes: python/mxnet/gluon/utils.py| 24 tests/python/gpu/test_gluon_gpu.py | 14 +- 2 files changed, 25 insertions(+), 13 deletions(-)
[GitHub] [incubator-mxnet] eric-haibin-lin merged pull request #17652: Use multi-tensor sumSQ in clip_global_norm
eric-haibin-lin merged pull request #17652: Use multi-tensor sumSQ in clip_global_norm URL: https://github.com/apache/incubator-mxnet/pull/17652 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] float123 opened a new issue #17892: How to get the output of the specified layer？
float123 opened a new issue #17892: How to get the output of the specified
layer？
URL: https://github.com/apache/incubator-mxnet/issues/17892
Hi，
I need to get the output of a certain layer, I did the following：
```
sym, arg_params, aux_params = mx.model.load_checkpoint('./data/retina', 0)
print('sym', sym) # [face_rpn_cls_prob_reshape_stride32,
face_rpn_bbox_pred_stride32, face_rpn_landmark_pred_stride32,...]
data = mx.sym.Variable('data')
sym1 = mx.sym.Variable('face_rpn_cls_prob_reshape_stride32')
group = data + sym1
group= group.get_internals()
mod = mx.mod.Module(symbol=group, context=mx.gpu(0), label_names=None)
mod.bind(data_shapes=[('data', (1, 3, 600, 600))], for_training=False)
mod.set_params(arg_params, aux_params)
mod.forward(img, is_train=False)
net_out = mod.get_outputs()
```
RuntimeError: face_rpn_cls_prob_reshape_stride32 is not presented
or
```
data = mx.sym.Variable('data')
sym1 = mx.sym.Variable('face_rpn_cls_prob_reshape_stride32')
sym1 = sym1.get_internals()
group = mx.symbol.Group([data, sym1])
mod = mx.mod.Module(symbol=group, context=mx.gpu(0), label_names=None)
```
RuntimeError: simple_bind error. Arguments:
data: (1, 3, 600, 600)
[23:49:46] src/executor/../common/exec_utils.h:392: InferShape pass cannot
decide shapes for the following arguments (-1 means unknown dimensions). Please
consider providing them as inputs:
face_rpn_cls_prob_reshape_stride32: None
or
```
sym1 = mx.sym.Variable('face_rpn_cls_prob_reshape_stride32')
group= sym1.get_internals()
mod = mx.mod.Module(symbol=group, context=mx.gpu(0), label_names=None)
```
ValueError: You created Module with Module(..., data_names=['data']) but
input with name 'data' is not found in symbol.list_arguments(). Did you mean
one of:
face_rpn_cls_prob_reshape_stride32
I always encounter these problems when using .get_internals () and
mx.symbol.Group (),Using the output face_rpn_cls_prob_reshape_stride32_output
will also have an error. how do I need to do it? thank you very much.
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[GitHub] [incubator-mxnet] caishanli commented on issue #17890: ndarray.cc:640 Check failed: !is_view
caishanli commented on issue #17890: ndarray.cc:640 Check failed: !is_view URL: https://github.com/apache/incubator-mxnet/issues/17890#issuecomment-602688368 I find the lastest linux build in https://dist.mxnet.io/python/mkl is mxnet_mkl-1.6.0b20200215-py2.py3-none-manylinux1_x86_64.whl is it ok? This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] TaoLv opened a new pull request #17891: [DNNL] Enable primitive cache in build
TaoLv opened a new pull request #17891: [DNNL] Enable primitive cache in build URL: https://github.com/apache/incubator-mxnet/pull/17891 ## Description ## (Brief description on what this PR is about) ## Checklist ## ### Essentials ### Please feel free to remove inapplicable items for your PR. - [ ] The PR title starts with [MXNET-$JIRA_ID], where $JIRA_ID refers to the relevant [JIRA issue](https://issues.apache.org/jira/projects/MXNET/issues) created (except PRs with tiny changes) - [ ] Changes are complete (i.e. I finished coding on this PR) - [ ] All changes have test coverage: - Unit tests are added for small changes to verify correctness (e.g. adding a new operator) - Nightly tests are added for complicated/long-running ones (e.g. changing distributed kvstore) - Build tests will be added for build configuration changes (e.g. adding a new build option with NCCL) - [ ] Code is well-documented: - For user-facing API changes, API doc string has been updated. - For new C++ functions in header files, their functionalities and arguments are documented. - For new examples, README.md is added to explain the what the example does, the source of the dataset, expected performance on test set and reference to the original paper if applicable - Check the API doc at https://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-$PR_ID/$BUILD_ID/index.html - [ ] To the best of my knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change ### Changes ### - [ ] Feature1, tests, (and when applicable, API doc) - [ ] Feature2, tests, (and when applicable, API doc) ## Comments ## - If this change is a backward incompatible change, why must this change be made. - Interesting edge cases to note here This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] TaoLv commented on issue #17890: ndarray.cc:640 Check failed: !is_view
TaoLv commented on issue #17890: ndarray.cc:640 Check failed: !is_view URL: https://github.com/apache/incubator-mxnet/issues/17890#issuecomment-602667694 Yes. You can also install the nightly build from here: https://repo.mxnet.io/dist/index.html. I think the cpu variant should have MKL-DNN enabled. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] TaoLv commented on a change in pull request #17884: [MKL-DNN] Integrate Conv3d and Pool3d/1d
TaoLv commented on a change in pull request #17884: [MKL-DNN] Integrate Conv3d
and Pool3d/1d
URL: https://github.com/apache/incubator-mxnet/pull/17884#discussion_r396524720
##
File path: src/operator/nn/mkldnn/mkldnn_pooling.cc
##
@@ -127,61 +116,139 @@ mkldnn::algorithm GetMKLDNNPoolAlgo(const PoolingParam
) {
}
}
+void InitPoolingPrimitiveParams(const PoolingParam ,
+const mkldnn::memory::desc _md,
+mkldnn::memory::dims *new_kernel,
Review comment:
How about pass-by-reference?
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[GitHub] [incubator-mxnet] TaoLv commented on a change in pull request #17884: [MKL-DNN] Integrate Conv3d and Pool3d/1d
TaoLv commented on a change in pull request #17884: [MKL-DNN] Integrate Conv3d
and Pool3d/1d
URL: https://github.com/apache/incubator-mxnet/pull/17884#discussion_r396523088
##
File path: src/operator/nn/mkldnn/mkldnn_pooling-inl.h
##
@@ -114,15 +115,21 @@ inline bool SupportMKLDNNPooling(const PoolingParam
,
return true;
} else {
if (param.pool_type == pool_enum::kAvgPooling) {
- CHECK_EQ(dshape.ndim(), 4);
+ CHECK(dshape.ndim() == 3 || dshape.ndim() == 4 || dshape.ndim() == 5);
// mkldnn works differently when padding is asymmetric, so let's skip
this case.
- if (param.pad[0] == GetPaddingSizeFull(dshape[2], param.pad[0],
param.pad[0], param.kernel[0],
- param.stride[0]) &&
- param.pad[1] == GetPaddingSizeFull(dshape[3], param.pad[1],
param.pad[1], param.kernel[1],
- param.stride[1])) {
-return true;
+ bool is_symmetric = true;
+ switch (dshape.ndim()) {
+case 5:
+ is_symmetric = is_symmetric && (param.pad[2] ==
GetPaddingSizeFull(dshape[4],
+param.pad[2], param.pad[2], param.kernel[2],
param.stride[2]));
+case 4:
+ is_symmetric = is_symmetric && (param.pad[1] ==
GetPaddingSizeFull(dshape[3],
+param.pad[1], param.pad[1], param.kernel[1],
param.stride[1]));
Review comment:
I see both pad[0] and pad[1] are checked in previous code.
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[GitHub] [incubator-mxnet] TaoLv commented on a change in pull request #17884: [MKL-DNN] Integrate Conv3d and Pool3d/1d
TaoLv commented on a change in pull request #17884: [MKL-DNN] Integrate Conv3d
and Pool3d/1d
URL: https://github.com/apache/incubator-mxnet/pull/17884#discussion_r396512804
##
File path: src/operator/nn/mkldnn/mkldnn_base-inl.h
##
@@ -153,9 +153,8 @@ static inline bool SupportMKLDNN(int dtype, const
mxnet::TShape ) {
// MKLDNN currently does not support 0-dim Tensor and 0-size Tensor
return false;
}
-
return (dtype == mshadow::kFloat32 || dtype == mshadow::kBfloat16) &&
- (ndim == 1 || ndim == 2 || ndim == 4);
+(ndim >= 1 && ndim <= 5);
Review comment:
Please fix the indent and make sure you also want to enable ndim=3 here.
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[GitHub] [incubator-mxnet] TaoLv commented on a change in pull request #17884: [MKL-DNN] Integrate Conv3d and Pool3d/1d
TaoLv commented on a change in pull request #17884: [MKL-DNN] Integrate Conv3d
and Pool3d/1d
URL: https://github.com/apache/incubator-mxnet/pull/17884#discussion_r396517882
##
File path: src/operator/nn/mkldnn/mkldnn_base-inl.h
##
@@ -324,20 +323,27 @@ inline static mkldnn::memory::desc GetWeightDesc(const
NDArray ,
if (num_groups == 1) {
return GetMemDesc(arr, dtype);
} else {
-auto ndim = arr.shape().ndim();
-CHECK((ndim == 3) || (ndim == 4))
-<< "MKL-DNN weight currectly supports 3d and 4d layout";
+const auto ndim = arr.shape().ndim();
+CHECK((ndim == 3) || (ndim == 4) || (ndim == 5))
+<< "MKL-DNN weight currently supports 3d or 4d or 5d layout";
auto tz = mkldnn::memory::dims{0};
-const int N = 0, H = 2, W = 3, C = 1;
-if (ndim == 3) {
- tz = mkldnn::memory::dims{
- num_groups, static_cast(arr.shape()[N] / num_groups),
- static_cast(arr.shape()[C]), static_cast(arr.shape()[H])};
-} else {
- tz = mkldnn::memory::dims{
- num_groups, static_cast(arr.shape()[N] / num_groups),
- static_cast(arr.shape()[C]), static_cast(arr.shape()[H]),
- static_cast(arr.shape()[W])};
+const int D = (ndim == 5) ? 2 : 1;
+const int N = 0, C = 1, H = D + 1, W = D + 2;
Review comment:
Let's be more descriptive here:
```suggestion
int N = 0, C = 1, H = 2, W = 3;
int D = -1;
if (ndim == 5) {
D = 2;
H = 3;
W = 4;
}
```
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[GitHub] [incubator-mxnet] caishanli commented on issue #17890: ndarray.cc:640 Check failed: !is_view
caishanli commented on issue #17890: ndarray.cc:640 Check failed: !is_view URL: https://github.com/apache/incubator-mxnet/issues/17890#issuecomment-602661304 > @caishanli Could you please try the latest master branch to see if the error is still there? Thanks. do you mean clone master and build with mkl and test? This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] nicklhy commented on issue #17863: Inconsistent results in gluon.nn.BatchNorm with autograd.record()
nicklhy commented on issue #17863: Inconsistent results in gluon.nn.BatchNorm with autograd.record() URL: https://github.com/apache/incubator-mxnet/issues/17863#issuecomment-602652408 I guess this is the expected result. In training mode, BN calculates the mean and variance of batch data first. And since you set momentum as 0, the data_mean is exactly the input data. Thus, you will get an output of all zeros here. You can refer the [doc](https://mxnet.incubator.apache.org/api/python/docs/api/ndarray/ndarray.html#mxnet.ndarray.BatchNorm) of BN for details. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] TaoLv commented on issue #17890: ndarray.cc:640 Check failed: !is_view
TaoLv commented on issue #17890: ndarray.cc:640 Check failed: !is_view URL: https://github.com/apache/incubator-mxnet/issues/17890#issuecomment-602632820 @caishanli Could you please try the latest master branch to see if the error is still there? Thanks. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[GitHub] [incubator-mxnet] alinagithub edited a comment on issue #17887: Import mxnet for mxnet-cu92 fails
alinagithub edited a comment on issue #17887: Import mxnet for mxnet-cu92 fails
URL:
https://github.com/apache/incubator-mxnet/issues/17887#issuecomment-602603442
Turning around an issue with PATH in Windows.
Something really bugs me.
The path to the CUDA DLLs is there, but the DLL does not load.
If I copy exact the path, present in Python environment path, the dll
loads...
(.env38) C:\.env38\Scripts>python
Python 3.8.2 (tags/v3.8.2:7b3ab59, Feb 25 2020, 23:03:10) [MSC v.1916 64 bit
(AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import os
>>> os.environ
environ({'ALLUSERSPROFILE': 'C:\\ProgramData', 'APPDATA':
'C:\\Users\\arnau\\AppData\\Roaming', 'CAMLIBS': 'C:\\Program
Files\\darktable\\lib\\libgphoto2\\2.5.23', [...] 'PATH': 'C:\\Program
Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2;C:\\Program Files\\NVIDIA GPU
Computing Toolkit\\CUDA\\v9.2\\bin;C:\\.env38\\Scripts;[...]})
>>> from ctypes import*
>>> mydll = cdll.LoadLibrary("cudnn64_7.dll")
Traceback (most recent call last):
File "", line 1, in
File
"C:\Users\arnau\AppData\Local\Programs\Python\Python38\lib\ctypes\__init__.py",
line 451, in LoadLibrary
return self._dlltype(name)
File
"C:\Users\arnau\AppData\Local\Programs\Python\Python38\lib\ctypes\__init__.py",
line 373, in __init__
self._handle = _dlopen(self._name, mode)
FileNotFoundError: Could not find module 'cudnn64_7.dll' (or one of its
dependencies). Try using the full path with constructor syntax.
>>> mydll = cdll.LoadLibrary("C:\\Program Files\\NVIDIA GPU Computing
Toolkit\\CUDA\\v9.2\\bin\\cudnn64_7.dll")
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[GitHub] [incubator-mxnet] alinagithub commented on issue #17887: Import mxnet for mxnet-cu92 fails
alinagithub commented on issue #17887: Import mxnet for mxnet-cu92 fails
URL:
https://github.com/apache/incubator-mxnet/issues/17887#issuecomment-602603442
Turning around an issue with PATH in Windows.
Something really bugs me.
The path to the CUDA DLLs is there, but the DLL does not load.
If I copy exact the path, present in Python environment path, the dll
loads...
(.env38) C:\.env38\Scripts>python
Python 3.8.2 (tags/v3.8.2:7b3ab59, Feb 25 2020, 23:03:10) [MSC v.1916 64 bit
(AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import os
>>> os.environ
environ({'ALLUSERSPROFILE': 'C:\\ProgramData', 'APPDATA':
'C:\\Users\\arnau\\AppData\\Roaming', 'CAMLIBS': 'C:\\Program
Files\\darktable\\lib\\libgphoto2\\2.5.23', 'COMMONPROGRAMFILES': 'C:\\Program
Files\\Common Files', 'COMMONPROGRAMFILES(X86)': 'C:\\Program Files
(x86)\\Common Files', 'COMMONPROGRAMW6432': 'C:\\Program Files\\Common Files',
'COMPUTERNAME': 'MSI', 'COMSPEC': 'C:\\WINDOWS\\system32\\cmd.exe',
'CONFIGSETROOT': 'C:\\WINDOWS\\ConfigSetRoot', 'CUDA_PATH': 'C:\\Program
Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2;C:\\Program Files\\NVIDIA GPU
Computing Toolkit\\CUDA\\v9.2\\bin', 'CUDA_PATH_V9_2': 'C:\\Program
Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2', 'DRIVERDATA':
'C:\\Windows\\System32\\Drivers\\DriverData', 'HOMEDRIVE': 'C:', 'HOMEPATH':
'\\Users\\arnau', 'INTEL_LICENSE_FILE': 'C:\\Program Files (x86)\\Common
Files\\Intel\\Licenses', 'IOLIBS': 'C:\\Program
Files\\darktable\\lib\\libgphoto2_port\\0.12.0', 'LOCALAPPDATA':
'C:\\Users\\arnau\\AppData\\Local', 'LOGONSERVER': 'MSI', 'MAGICK_HOME':
'C:\\Program Files\\darktable\\lib\\GraphicsMagick-1.3.33\\modules-Q8\\coders',
'MXNET_CUDNN_AUTOTUNE_DEFAULT': '0', 'NUMBER_OF_PROCESSORS': '12',
'NVCUDASAMPLES9_2_ROOT': 'C:\\ProgramData\\NVIDIA Corporation\\CUDA
Samples\\v9.2', 'NVTOOLSEXT_PATH': 'C:\\Program Files\\NVIDIA
Corporation\\NvToolsExt\\', 'ONEDRIVE': 'C:\\Users\\arnau\\OneDrive',
'ONEDRIVECONSUMER': 'C:\\Users\\arnau\\OneDrive', 'OS': 'Windows_NT', 'PATH':
'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2;C:\\Program
Files\\NVIDIA GPU Computing
Toolkit\\CUDA\\v9.2\\bin;C:\\.env38\\Scripts;C:\\Program Files\\NVIDIA GPU
Computing Toolkit\\CUDA\\v9.2;C:\\Program Files\\NVIDIA GPU Computing
Toolkit\\CUDA\\v9.2\\bin;C:\\Program Files (x86)\\Common
Files\\Oracle\\Java\\javapath;C:\\Program Files
(x86)\\Razer\\ChromaBroadcast\\bin;C:\\Program
Files\\Razer\\ChromaBroadcast\\bin;C:\\Program Files (x86)\\Razer Chroma
SDK\\bin;C:\\Program Files\\Razer Chroma SDK\\bin;C:\\Program Files
(x86)\\Intel\\Intel(R) Management Engine Components\\iCLS\\;C:\\Program
Files\\Intel\\Intel(R) Management Engine
Components\\iCLS\\;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\Program
Files (x86)\\Intel\\Intel(R) Management Engine Components\\DAL;C:\\Program
Files\\Intel\\Intel(R) Management Engine Components\\DAL;C:\\Program Files
(x86)\\Intel\\Intel(R) Management Engine Components\\IPT;C:\\Program
Files\\Intel\\Intel(R) Management Engine Components\\IPT;C:\\Program Files
(x86)\\Graphviz2.38\\bin;C:\\Program Files\\Git\\cmd;C:\\Program Files\\NVIDIA
Corporation\\NVSMI;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\;C:\\WINDOWS\\System32\\OpenSSH\\;C:\\Program
Files\\Intel\\WiFi\\bin\\;C:\\Program Files\\Common
Files\\Intel\\WirelessCommon\\;C:\\WINDOWS\\system32\\config\\systemprofile\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\arnau\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Program
Files\\Microsoft VS Code\\bin;C:\\Program Files\\PuTTY\\;C:\\Program
Files\\NVIDIA Corporation\\NVIDIA NvDLISR;C:\\Program Files (x86)\\NVIDIA
Corporation\\PhysX\\Common;C:\\WINDOWS\\System32\\OpenSSH\\;C:\\Program
Files\\TortoiseGit\\bin;C:\\Program Files\\CMake\\bin;C:\\Program Files\\NVIDIA
Corporation\\Nsight Compute
2019.4.0\\;C:\\Users\\arnau\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Program
Files\\Microsoft VS Code\\bin;C:\\Program Files\\Intel\\WiFi\\bin\\;C:\\Program
Files\\Common Files\\Intel\\WirelessCommon\\;', 'PATHEXT':
'.COM;.EXE;.BAT;.CMD;.VBS;.VBE;.JS;.JSE;.WSF;.WSH;.MSC',
'PROCESSOR_ARCHITECTURE': 'AMD64', 'PROCESSOR_IDENTIFIER': 'Intel64 Family 6
Model 158 Stepping 10, GenuineIntel', 'PROCESSOR_LEVEL': '6',
'PROCESSOR_REVISION': '9e0a', 'PROGRAMDATA': 'C:\\ProgramData', 'PROGRAMFILES':
'C:\\Program Files', 'PROGRAMFILES(X86)': 'C:\\Program Files (x86)',
'PROGRAMW6432': 'C:\\Program Files', 'PROMPT': '(.env38) $P$G', 'PSMODULEPATH':
'C:\\Program
Files\\WindowsPowerShell\\Modules;C:\\WINDOWS\\system32\\WindowsPowerShell\\v1.0\\Modules',
'PUBLIC': 'C:\\Users\\Public', 'SESSIONNAME': 'Console', 'SYSTEMDRIVE': 'C:',
'SYSTEMROOT': 'C:\\WINDOWS', 'TEMP': 'C:\\Users\\arnau\\AppData\\Local\\Temp',
'TMP': 'C:\\Users\\arnau\\AppData\\Local\\Temp', 'TOTO':
[incubator-mxnet-site] branch asf-site updated: Bump the publish timestamp.
This is an automated email from the ASF dual-hosted git repository. aaronmarkham pushed a commit to branch asf-site in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git The following commit(s) were added to refs/heads/asf-site by this push: new 71f6f14 Bump the publish timestamp. 71f6f14 is described below commit 71f6f1416f6bb5ee0ffa6b306163be3865b88e53 Author: mxnet-ci AuthorDate: Mon Mar 23 12:45:26 2020 + Bump the publish timestamp. --- date.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/date.txt b/date.txt new file mode 100644 index 000..d109c41 --- /dev/null +++ b/date.txt @@ -0,0 +1 @@ +Mon Mar 23 12:45:26 UTC 2020
[incubator-mxnet] branch master updated (f01dc80 -> 2f358fd)
This is an automated email from the ASF dual-hosted git repository.
haoj pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from f01dc80 Adding sparse support to MXTensor for custom operators
(#17569)
add 2f358fd [Numpy] Add op fmax, fmin, fmod (#17567)
No new revisions were added by this update.
Summary of changes:
benchmark/python/ffi/benchmark_ffi.py | 3 +
python/mxnet/ndarray/numpy/_op.py | 76 ++-
python/mxnet/numpy/multiarray.py | 96 +-
python/mxnet/numpy_dispatch_protocol.py| 3 +
python/mxnet/symbol/numpy/_symbol.py | 24 +++-
.../np_elemwise_broadcast_op_extended_sec.cc} | 52
src/operator/mshadow_op.h | 50
.../numpy/np_elemwise_broadcast_op_extended_sec.cc | 142 +
.../numpy/np_elemwise_broadcast_op_extended_sec.cu | 77 +++
src/operator/operator_tune.cc | 4 +
.../python/unittest/test_numpy_interoperability.py | 24
tests/python/unittest/test_numpy_op.py | 10 ++
12 files changed, 525 insertions(+), 36 deletions(-)
copy src/api/{_api_internal/_api_internal.cc =>
operator/numpy/np_elemwise_broadcast_op_extended_sec.cc} (55%)
create mode 100644 src/operator/numpy/np_elemwise_broadcast_op_extended_sec.cc
create mode 100644 src/operator/numpy/np_elemwise_broadcast_op_extended_sec.cu
[incubator-mxnet] branch master updated (f01dc80 -> 2f358fd)
This is an automated email from the ASF dual-hosted git repository.
haoj pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from f01dc80 Adding sparse support to MXTensor for custom operators
(#17569)
add 2f358fd [Numpy] Add op fmax, fmin, fmod (#17567)
No new revisions were added by this update.
Summary of changes:
benchmark/python/ffi/benchmark_ffi.py | 3 +
python/mxnet/ndarray/numpy/_op.py | 76 ++-
python/mxnet/numpy/multiarray.py | 96 +-
python/mxnet/numpy_dispatch_protocol.py| 3 +
python/mxnet/symbol/numpy/_symbol.py | 24 +++-
.../np_elemwise_broadcast_op_extended_sec.cc} | 52
src/operator/mshadow_op.h | 50
.../numpy/np_elemwise_broadcast_op_extended_sec.cc | 142 +
.../numpy/np_elemwise_broadcast_op_extended_sec.cu | 77 +++
src/operator/operator_tune.cc | 4 +
.../python/unittest/test_numpy_interoperability.py | 24
tests/python/unittest/test_numpy_op.py | 10 ++
12 files changed, 525 insertions(+), 36 deletions(-)
copy src/api/{_api_internal/_api_internal.cc =>
operator/numpy/np_elemwise_broadcast_op_extended_sec.cc} (55%)
create mode 100644 src/operator/numpy/np_elemwise_broadcast_op_extended_sec.cc
create mode 100644 src/operator/numpy/np_elemwise_broadcast_op_extended_sec.cu
[GitHub] [incubator-mxnet] haojin2 merged pull request #17567: [Numpy] Add op fmax, fmin, fmod
haojin2 merged pull request #17567: [Numpy] Add op fmax, fmin, fmod URL: https://github.com/apache/incubator-mxnet/pull/17567 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[incubator-mxnet-site] branch asf-site updated: Bump the publish timestamp.
This is an automated email from the ASF dual-hosted git repository. aaronmarkham pushed a commit to branch asf-site in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git The following commit(s) were added to refs/heads/asf-site by this push: new 78c1b63 Bump the publish timestamp. 78c1b63 is described below commit 78c1b633427cc6df1d70328631634000426c5ded Author: mxnet-ci AuthorDate: Mon Mar 23 06:45:42 2020 + Bump the publish timestamp. --- date.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/date.txt b/date.txt new file mode 100644 index 000..263b226 --- /dev/null +++ b/date.txt @@ -0,0 +1 @@ +Mon Mar 23 06:45:42 UTC 2020
[GitHub] [incubator-mxnet] sxjscience commented on issue #17045: Relocation truncation issues
sxjscience commented on issue #17045: Relocation truncation issues URL: https://github.com/apache/incubator-mxnet/issues/17045#issuecomment-602410744 I ran into similar issue with the latest master. This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
