[GitHub] [incubator-mxnet] szha commented on pull request #11434: add ignore_reinit to initialize to skip warnings
szha commented on pull request #11434: URL: https://github.com/apache/incubator-mxnet/pull/11434#issuecomment-633181691 I'm open to introducing this if it improves experience. However, name like `ignore_reinit` doesn't seem obvious to me that it suppresses warnings. I'd be more glad to recommend accepting this if we could come up with a more intuitive name. 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
[GitHub] [incubator-mxnet] szha commented on pull request #17047: Add build flag for x86 arch
szha commented on pull request #17047: URL: https://github.com/apache/incubator-mxnet/pull/17047#issuecomment-633180698 this change doesn't seem needed anymore for master branch. feel free to reopen and send towards 1.x branch if still deemed necessary. 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
[GitHub] [incubator-mxnet] szha closed pull request #17047: Add build flag for x86 arch
szha closed pull request #17047: URL: https://github.com/apache/incubator-mxnet/pull/17047 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
[GitHub] [incubator-mxnet] szha commented on issue #17335: Excessive GPU memory usage with dynamic shape input using Gluon interface
szha commented on issue #17335: URL: https://github.com/apache/incubator-mxnet/issues/17335#issuecomment-633180185 @andrei5055 thanks for reporting back your finding. Sorry that I missed the part where you recreate the dataloader multiple times. It seems evident now that the problem is starvation and thrashing of the many processes that the dataloader construction creates. However, it's unclear why explicit deletion of dataloader helped, since the object is supposed to be reference counted and freed in the next iteration. 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
[GitHub] [incubator-mxnet] szha commented on pull request #15994: ONNX import/export: Upsampling
szha commented on pull request #15994: URL: https://github.com/apache/incubator-mxnet/pull/15994#issuecomment-633179704 Pinging @vandanavk. BTW, since master branch is for 2.0 development and Upsampling op will be reorganized elsewhere, based on the change, I recommend switching the target branch to 1.x instead. cc @sandeep-krishnamurthy on ONNX op coverage 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
[GitHub] [incubator-mxnet] szha commented on a change in pull request #18393: Fix true_divide logging
szha commented on a change in pull request #18393:
URL: https://github.com/apache/incubator-mxnet/pull/18393#discussion_r429599165
##
File path: src/operator/numpy/np_true_divide-inl.h
##
@@ -306,7 +306,7 @@ void TrueDivideBroadcastCompute(const nnvm::NodeAttrs&
attrs,
} else {
if (common::is_float(lhs.type_flag_) &&
common::is_float(rhs.type_flag_)) {
// lhs and rhs have different float types, the output is the more
precise one
-LOG(ERROR) << "not implemented yet...";
+LOG(FATAL) << "not implemented yet...";
Review comment:
We should use
```
LOG(FATAL) << "NotImplementedError: xxx setting for yyy op is not
implemented yet.";
```
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[GitHub] [incubator-mxnet] sxjscience opened a new issue #18398: [Numpy] Numpy Interface does not support float16
sxjscience opened a new issue #18398: URL: https://github.com/apache/incubator-mxnet/issues/18398 Reproducible example: ```python import mxnet as mx mx.npx.set_np() net = mx.gluon.nn.Dense(16, in_units=32) net.collect_params() net.cast(mx.np.float16) net.initialize() ``` Error: ``` ~/mxnet/python/mxnet/numpy/random.py in uniform(low, high, size, dtype, ctx, out) 135 inequality condition. 136 """ --> 137 return _mx_nd_np.random.uniform(low, high, size=size, ctx=ctx, dtype=dtype, out=out) 138 139 ~/mxnet/python/mxnet/ndarray/numpy/random.py in uniform(low, high, size, dtype, ctx, out) 135 if size == (): 136 size = None --> 137 return _api_internal.uniform(low, high, size, ctx, dtype, out) 138 139 ~/mxnet/python/mxnet/_ffi/_ctypes/function.py in __call__(self, *args) 113 self.handle, values, tcodes, ctypes.c_int(num_args), 114 ctypes.byref(ret_val), ctypes.byref(ret_tcode)) != 0: --> 115 raise get_last_ffi_error() 116 _ = temp_args 117 _ = args MXNetError: Traceback (most recent call last): File "../src/imperative/./imperative_utils.h", line 262 MXNetError: Check failed: outputs[i]->dtype() == out_types[i] (2 vs. 0) : 0-th output has invalid dtype. Expecting 0 got 2 in operator _npi_uniform ``` 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
[incubator-mxnet] branch master updated: fix true_divide (#18393)
This is an automated email from the ASF dual-hosted git repository.
liuyizhi 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 0a3bdff fix true_divide (#18393)
0a3bdff is described below
commit 0a3bdffeccfdc8db6213f8b3d9e18cf9a8e93b03
Author: Xingjian Shi
AuthorDate: Sat May 23 18:43:34 2020 -0700
fix true_divide (#18393)
---
src/operator/numpy/np_true_divide-inl.h | 16
1 file changed, 8 insertions(+), 8 deletions(-)
diff --git a/src/operator/numpy/np_true_divide-inl.h
b/src/operator/numpy/np_true_divide-inl.h
index c6b8cdf..9edd795 100644
--- a/src/operator/numpy/np_true_divide-inl.h
+++ b/src/operator/numpy/np_true_divide-inl.h
@@ -125,7 +125,7 @@ void TrueDivideElemwiseCompute(const nnvm::NodeAttrs ,
// Case when types of the 2 input tensors are different
if (common::is_float(lhs.type_flag_) && common::is_float(rhs.type_flag_)) {
// both lhs and rhs are float types, output type is the more precise one
- LOG(ERROR) << "not implemented yet...";
+ LOG(FATAL) << "not implemented yet...";
} else if (common::is_float(lhs.type_flag_) ||
common::is_float(rhs.type_flag_)) {
// one is float type, the other is integer type, the output type should
be the same as float
CHECK_EQ(out.type_flag_,
@@ -154,14 +154,14 @@ void TrueDivideElemwiseCompute(const nnvm::NodeAttrs
,
}
} else {
// lhs is integer type, rhs is integer type, output type should be float
- LOG(ERROR) << "not implemented yet...";
+ LOG(FATAL) << "not implemented yet...";
}
#else
// Windows case: using temp space for casting the type
// Case when types of the 2 input tensors are different
if (common::is_float(lhs.type_flag_) && common::is_float(rhs.type_flag_)) {
// both lhs and rhs are float types, output type is the more precise one
- LOG(ERROR) << "not implemented yet...";
+ LOG(FATAL) << "not implemented yet...";
} else if (common::is_float(lhs.type_flag_) ||
common::is_float(rhs.type_flag_)) {
// lhs is float type, rhs is integer type, the output type should be the
same as lhs
CHECK_EQ(out.type_flag_,
@@ -191,7 +191,7 @@ void TrueDivideElemwiseCompute(const nnvm::NodeAttrs ,
}
} else {
// lhs is integer type, rhs is integer type, output type should be float
- LOG(ERROR) << "not implemented yet...";
+ LOG(FATAL) << "not implemented yet...";
}
#endif
}
@@ -245,7 +245,7 @@ void TrueDivideBroadcastCompute(const nnvm::NodeAttrs&
attrs,
} else {
if (common::is_float(lhs.type_flag_) &&
common::is_float(rhs.type_flag_)) {
// lhs and rhs have different float types, the output is the more
precise one
- LOG(ERROR) << "not implemented yet...";
+ LOG(FATAL) << "not implemented yet...";
} else if (common::is_float(lhs.type_flag_) ||
common::is_float(rhs.type_flag_)) {
// one of lhs and rhs is float, the output is the same type as the
float one
if (common::is_float(lhs.type_flag_)) {
@@ -273,7 +273,7 @@ void TrueDivideBroadcastCompute(const nnvm::NodeAttrs&
attrs,
}
} else {
// lhs and rhs have different integer types, the output is float type
- LOG(ERROR) << "not implemented yet...";
+ LOG(FATAL) << "not implemented yet...";
}
}
});
@@ -306,7 +306,7 @@ void TrueDivideBroadcastCompute(const nnvm::NodeAttrs&
attrs,
} else {
if (common::is_float(lhs.type_flag_) &&
common::is_float(rhs.type_flag_)) {
// lhs and rhs have different float types, the output is the more
precise one
-LOG(ERROR) << "not implemented yet...";
+LOG(FATAL) << "not implemented yet...";
} else if (common::is_float(lhs.type_flag_) ||
common::is_float(rhs.type_flag_)) {
// one of lhs and rhs is float, the output is the same type as the
float one
TBlob temp_tblob;
@@ -337,7 +337,7 @@ void TrueDivideBroadcastCompute(const nnvm::NodeAttrs&
attrs,
}
} else {
// lhs and rhs have different integer types, the output is float type
-LOG(ERROR) << "not implemented yet...";
+LOG(FATAL) << "not implemented yet...";
}
}
#endif
[GitHub] [incubator-mxnet] yzhliu closed issue #18353: [Numpy] Division fails for differnt floating dtypes
yzhliu closed issue #18353: URL: https://github.com/apache/incubator-mxnet/issues/18353 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
[GitHub] [incubator-mxnet] yzhliu merged pull request #18393: Fix true_divide logging
yzhliu merged pull request #18393: URL: https://github.com/apache/incubator-mxnet/pull/18393 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
[GitHub] [incubator-mxnet] yzhliu commented on a change in pull request #18371: [numpy] fix op repeat with list input
yzhliu commented on a change in pull request #18371:
URL: https://github.com/apache/incubator-mxnet/pull/18371#discussion_r429588818
##
File path: src/operator/numpy/np_repeat_op-inl.h
##
@@ -0,0 +1,224 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied. See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+/*!
+ * Copyright (c) 2019 by Contributors
+ * \file np_repeat_op-inl.h
+ * \brief Function definition of the repeat op
+ */
+
+#ifndef MXNET_OPERATOR_NUMPY_NP_REPEAT_OP_INL_H_
+#define MXNET_OPERATOR_NUMPY_NP_REPEAT_OP_INL_H_
+
+#include
+#include
+#include
+#include
+#include
+#include
+#include
+#include "../mshadow_op.h"
+#include "../elemwise_op_common.h"
+#include "../channel_op_common.h"
+#include "../mxnet_op.h"
+#include "../../common/static_array.h"
+
+namespace mxnet {
+namespace op {
+
+struct RepeatsParam : public dmlc::Parameter {
+ dmlc::optional> repeats;
+ dmlc::optional axis;
+ DMLC_DECLARE_PARAMETER(RepeatsParam) {
+DMLC_DECLARE_FIELD(repeats)
+ .describe("The number of repetitions for each element.");
+DMLC_DECLARE_FIELD(axis)
+ .set_default(dmlc::optional())
+ .describe("The axis along which to repeat values."
+" The negative numbers are interpreted counting from the
backward."
+" By default, use the flattened input array,"
+" and return a flat output array.");
+ }
+ void SetAttrDict(std::unordered_map* dict) {
+std::ostringstream repeats_s, axis_s;
+repeats_s << repeats;
+axis_s << axis;
+(*dict)["repeats"] = repeats_s.str();
+(*dict)["axis"] = axis_s.str();
+ }
+};
+
+inline void GetRepeatsParams(const RepeatsParam& param, const mxnet::TShape&
ishape,
+ int* repeats, dmlc::optional* axisOpt) {
+ *repeats = 0;
+ const mxnet::Tuple = param.repeats.value();
+ for (int i=0; i < repts.ndim(); i++) {
+CHECK_GE(*repeats, 0) << "repeats cannot be a negative number";
Review comment:
I think this check can be removed as it can never be negative according
to the logic.
##
File path: src/operator/numpy/np_repeat_op-inl.h
##
@@ -0,0 +1,224 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied. See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+/*!
+ * Copyright (c) 2019 by Contributors
+ * \file np_repeat_op-inl.h
+ * \brief Function definition of the repeat op
+ */
+
+#ifndef MXNET_OPERATOR_NUMPY_NP_REPEAT_OP_INL_H_
+#define MXNET_OPERATOR_NUMPY_NP_REPEAT_OP_INL_H_
+
+#include
+#include
+#include
+#include
+#include
+#include
+#include
+#include "../mshadow_op.h"
+#include "../elemwise_op_common.h"
+#include "../channel_op_common.h"
+#include "../mxnet_op.h"
+#include "../../common/static_array.h"
+
+namespace mxnet {
+namespace op {
+
+struct RepeatsParam : public dmlc::Parameter {
+ dmlc::optional> repeats;
+ dmlc::optional axis;
+ DMLC_DECLARE_PARAMETER(RepeatsParam) {
+DMLC_DECLARE_FIELD(repeats)
+ .describe("The number of repetitions for each element.");
+DMLC_DECLARE_FIELD(axis)
+ .set_default(dmlc::optional())
+ .describe("The axis along which to repeat values."
+" The negative numbers are interpreted counting from the
backward."
+" By default, use the flattened input array,"
+" and return a flat output array.");
+ }
+ void SetAttrDict(std::unordered_map* dict) {
+std::ostringstream repeats_s, axis_s;
+repeats_s << repeats;
+axis_s << axis;
+(*dict)["repeats"] =
[GitHub] [incubator-mxnet] szha opened a new issue #18397: Licensing issues in Distributions
szha opened a new issue #18397: URL: https://github.com/apache/incubator-mxnet/issues/18397 https://lists.apache.org/thread.html/r738c102492649c754f49e2195985bc765df07df3c8a1e06942e8872f%40%3Cdev.mxnet.apache.org%3E Will add more details and track feedbacks 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
[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 16ff1b1 Bump the publish timestamp. 16ff1b1 is described below commit 16ff1b13d7de5546adfba6f23f273391d4ae5631 Author: mxnet-ci AuthorDate: Sun May 24 00:48:11 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..9d6334a --- /dev/null +++ b/date.txt @@ -0,0 +1 @@ +Sun May 24 00:48:11 UTC 2020
[GitHub] [incubator-mxnet] nickguletskii commented on pull request #18375: [v1.x] Backport edge pipeline
nickguletskii commented on pull request #18375: URL: https://github.com/apache/incubator-mxnet/pull/18375#issuecomment-63311 @mxnet-bot run ci [centos-gpu] 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
[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #18375: [v1.x] Backport edge pipeline
mxnet-bot commented on pull request #18375: URL: https://github.com/apache/incubator-mxnet/pull/18375#issuecomment-633144452 Jenkins CI successfully triggered : [centos-gpu] 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
[GitHub] [incubator-mxnet] nickguletskii commented on issue #17557: test_batchnorm is failing for cu101/cu101mkl/cu102 builds in CD
nickguletskii commented on issue #17557: URL: https://github.com/apache/incubator-mxnet/issues/17557#issuecomment-633144358 Also failed here: http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Fcentos-gpu/detail/PR-18375/7/pipeline/ 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
[GitHub] [incubator-mxnet] JONGGON opened a new issue #18396: Mxnet build error / c++ , python diffrent result in mxnet 1.6.0 / and so on
JONGGON opened a new issue #18396: URL: https://github.com/apache/incubator-mxnet/issues/18396 1. I think mxnet1.6.0 is unstable. As Mentioned https://github.com/apache/incubator-mxnet/issues/17874 Mxnet1.6.0 build is still incomleted. . . 2. When I loaded 'json, params' trained in mxnet python in c++. . Different results are shown I'm currently testing it with a Yolov3 model. In mxnet 1.5.1 version, it works 3. The Operation of amp module is different for each version 4. To use mxnet cpp When using a cmake or Ninja build, it looks like it is being built, Gpu is not recognized at runtime My environment Ubuntu16.04, Ubuntu18.04 Cuda 10.0 ~ 10.2. These are the problem I have found so far. 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
[GitHub] [incubator-mxnet] yajiedesign commented on pull request #18379: change _Pragma to #pragma
yajiedesign commented on pull request #18379: URL: https://github.com/apache/incubator-mxnet/pull/18379#issuecomment-633137800 @mxnet-bot run ci [macosx-x86_64] 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
[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #18379: change _Pragma to #pragma
mxnet-bot commented on pull request #18379: URL: https://github.com/apache/incubator-mxnet/pull/18379#issuecomment-633137811 None of the jobs entered are supported. Jobs entered by user: [macosx-x86_64] CI supported Jobs: [edge, windows-cpu, centos-cpu, website, windows-gpu, miscellaneous, centos-gpu, unix-cpu, clang, unix-gpu, 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
[GitHub] [incubator-mxnet] szha commented on pull request #17952: 1bit gradient compression
szha commented on pull request #17952: URL: https://github.com/apache/incubator-mxnet/pull/17952#issuecomment-633122678 @mxnet-bot run ci [all] 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
[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #17952: 1bit gradient compression
mxnet-bot commented on pull request #17952: URL: https://github.com/apache/incubator-mxnet/pull/17952#issuecomment-633122718 Jenkins CI successfully triggered : [edge, centos-gpu, windows-cpu, centos-cpu, windows-gpu, clang, unix-cpu, miscellaneous, website, unix-gpu, 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
[GitHub] [incubator-mxnet] szha closed issue #17579: typo in CmakeLists.txt about OPENMP_FOUND
szha closed issue #17579: URL: https://github.com/apache/incubator-mxnet/issues/17579 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
[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 cb3e877 Bump the publish timestamp. cb3e877 is described below commit cb3e877ed0e6531b1db508c7ccac970971cd0b80 Author: mxnet-ci AuthorDate: Sat May 23 18:47:58 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..269a026 --- /dev/null +++ b/date.txt @@ -0,0 +1 @@ +Sat May 23 18:47:58 UTC 2020
[GitHub] [incubator-mxnet] paylak2002 opened a new issue #18395: can't import mxnet
paylak2002 opened a new issue #18395: URL: https://github.com/apache/incubator-mxnet/issues/18395 After installing mxnet via pip I've tried to import the mxnet package, but unfortunately I've got this error message: Illegal instruction (core dumped) I think there are some problems with my cpu. My cpu: Intel Corporation Xeon E3-1200 v2/3rd Gen Core processor DRAM Controller 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
[GitHub] [incubator-mxnet] eric-haibin-lin commented on pull request #18394: remove mx.model.FeedForward API
eric-haibin-lin commented on pull request #18394: URL: https://github.com/apache/incubator-mxnet/pull/18394#issuecomment-633072671 @mxnet-bot run ci [all] 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
[GitHub] [incubator-mxnet] eric-haibin-lin opened a new pull request #18394: remove mx.model.FeedForward API
eric-haibin-lin opened a new pull request #18394: URL: https://github.com/apache/incubator-mxnet/pull/18394 ## Description ## remove the API and related examples & tools. ## 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
[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #18394: remove mx.model.FeedForward API
mxnet-bot commented on pull request #18394: URL: https://github.com/apache/incubator-mxnet/pull/18394#issuecomment-633072598 Hey @eric-haibin-lin , Thanks for submitting the PR All tests are already queued to run once. If tests fail, you can trigger one or more tests again with the following commands: - To trigger all jobs: @mxnet-bot run ci [all] - To trigger specific jobs: @mxnet-bot run ci [job1, job2] *** **CI supported jobs**: [clang, centos-cpu, miscellaneous, unix-gpu, unix-cpu, centos-gpu, website, windows-gpu, windows-cpu, edge, sanity] *** _Note_: Only following 3 categories can trigger CI :PR Author, MXNet Committer, Jenkins Admin. All CI tests must pass before the PR can be merged. 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
[GitHub] [incubator-mxnet] eric-haibin-lin closed pull request #18388: remove mx.model.FeedForward API
eric-haibin-lin closed pull request #18388: URL: https://github.com/apache/incubator-mxnet/pull/18388 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
[GitHub] [incubator-mxnet] JustinhoCHN edited a comment on issue #18392: Need cuda 10.2 python prebuild wheel for nvidia jetson platform.
JustinhoCHN edited a comment on issue #18392: URL: https://github.com/apache/incubator-mxnet/issues/18392#issuecomment-633058778 I‘m also seeking help from nvidia developer fourms: [Looking for cuda-repo-cross-aarch64-10-2 deb file for jetpack 4.4 DP to compile MXNet python wheel](https://forums.developer.nvidia.com/t/looking-for-cuda-repo-cross-aarch64-10-2-deb-file-for-jetpack-4-4-dp-to-compile-mxnet-python-wheel/124474), see if someone can provide the deb file. update: seems nvidia staffs are working on building mxnet python package too, [link here](https://forums.developer.nvidia.com/t/i-was-unable-to-compile-and-install-mxnet1-5-with-tensorrt-on-the-jetson-nano-is-there-someone-have-compile-it-please-help-me-thank-you/111303/16?u=coderjustin) 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
[GitHub] [incubator-mxnet] JustinhoCHN commented on issue #18392: Need cuda 10.2 python prebuild wheel for nvidia jetson platform.
JustinhoCHN commented on issue #18392: URL: https://github.com/apache/incubator-mxnet/issues/18392#issuecomment-633058778 I‘m also seeking help from nvidia developer fourms: [Looking for cuda-repo-cross-aarch64-10-2 deb file for jetpack 4.4 DP to compile MXNet python wheel](https://forums.developer.nvidia.com/t/looking-for-cuda-repo-cross-aarch64-10-2-deb-file-for-jetpack-4-4-dp-to-compile-mxnet-python-wheel/124474), see if someone can provide the deb file. 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
[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 c82a558 Bump the publish timestamp. c82a558 is described below commit c82a55843583c588c5d5b559b8bad32bd95aa381 Author: mxnet-ci AuthorDate: Sat May 23 12:48:30 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..12847c4 --- /dev/null +++ b/date.txt @@ -0,0 +1 @@ +Sat May 23 12:48:30 UTC 2020
[GitHub] [incubator-mxnet] JustinhoCHN commented on issue #18392: Need cuda 10.2 python prebuild wheel for nvidia jetson platform.
JustinhoCHN commented on issue #18392: URL: https://github.com/apache/incubator-mxnet/issues/18392#issuecomment-633026273 ``` cuda-repo-l4t-10-2-local-10.2.89_1.0-1_arm64.deb deepstream-5.0_5.0.0-1_arm64.deb graphsurgeon-tf_7.1.0-1+cuda10.2_arm64.deb Jetson-210_Linux_R32.4.2_aarch64.tbz2 libcudnn8_8.0.0.145-1+cuda10.2_arm64.deb libcudnn8-dev_8.0.0.145-1+cuda10.2_arm64.deb libcudnn8-doc_8.0.0.145-1+cuda10.2_arm64.deb libnvidia-container0_0.9.0_beta.1_arm64.deb libnvidia-container-tools_0.9.0_beta.1_arm64.deb libnvinfer7_7.1.0-1+cuda10.2_arm64.deb libnvinfer-bin_7.1.0-1+cuda10.2_arm64.deb libnvinfer-dev_7.1.0-1+cuda10.2_arm64.deb libnvinfer-doc_7.1.0-1+cuda10.2_all.deb libnvinfer-plugin7_7.1.0-1+cuda10.2_arm64.deb libnvinfer-plugin-dev_7.1.0-1+cuda10.2_arm64.deb libnvinfer-samples_7.1.0-1+cuda10.2_all.deb libnvonnxparsers7_7.1.0-1+cuda10.2_arm64.deb libnvonnxparsers-dev_7.1.0-1+cuda10.2_arm64.deb libnvparsers7_7.1.0-1+cuda10.2_arm64.deb libnvparsers-dev_7.1.0-1+cuda10.2_arm64.deb libvisionworks-repo_1.6.0.501_arm64.deb libvisionworks-sfm-repo_0.90.4.501_arm64.deb libvisionworks-tracking-repo_0.88.2.501_arm64.deb nvidia-container-csv-cuda_10.2.89-1_arm64.deb nvidia-container-csv-cudnn_8.0.0.145-1+cuda10.2_arm64.deb nvidia-container-csv-tensorrt_7.1.0.16-1+cuda10.2_arm64.deb nvidia-container-csv-visionworks_1.6.0.501_arm64.deb nvidia-container-runtime_3.1.0-1_arm64.deb nvidia-container-toolkit_1.0.1-1_arm64.deb nvidia-docker2_2.2.0-1_all.deb nvidia-l4t-jetson-multimedia-api_32.4.2-20200408182156_arm64.deb OpenCV-4.1.1-2-gd5a58aa75-aarch64-dev.deb OpenCV-4.1.1-2-gd5a58aa75-aarch64-libs.deb OpenCV-4.1.1-2-gd5a58aa75-aarch64-licenses.deb OpenCV-4.1.1-2-gd5a58aa75-aarch64-python.deb OpenCV-4.1.1-2-gd5a58aa75-aarch64-samples.deb python3-libnvinfer_7.1.0-1+cuda10.2_arm64.deb python3-libnvinfer-dev_7.1.0-1+cuda10.2_arm64.deb python-libnvinfer_7.1.0-1+cuda10.2_arm64.deb python-libnvinfer-dev_7.1.0-1+cuda10.2_arm64.deb sdkml3_jetpack_l4t_44_dp_deepstream.json sdkml3_jetpack_l4t_44_dp.json Tegra_Linux_Sample-Root-Filesystem_R32.4.2_aarch64.tbz2 tensorrt_7.1.0.16-1+cuda10.2_arm64.deb uff-converter-tf_7.1.0-1+cuda10.2_arm64.deb vpi-dev-0.2.0-cuda10-aarch64-l4t.deb vpi-lib-0.2.0-cuda10-aarch64-l4t.deb vpi-samples-0.2.0-cuda10-aarch64-l4t.deb ``` These are jetpack 4.4 DP deb files, download via Nvidia SDK Manager. FYI @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
[GitHub] [incubator-mxnet] JustinhoCHN commented on issue #18392: Need cuda 10.2 python prebuild wheel for nvidia jetson platform.
JustinhoCHN commented on issue #18392: URL: https://github.com/apache/incubator-mxnet/issues/18392#issuecomment-633000562 > @JustinhoCHN you need to download the Deb files via Nvidia sdk manager.. Unfortunately Nvidia hasn't made them available outside of sdk manager yet. CI uses a private copy of the files. I know, and I tried, I can only found ```cuda-repo-l4t-10-2-local-10.2.89_1.0-1_arm64.deb``` in the sdk manager download folder, ```cuda-repo-cross-aarch64-10-2-x.deb``` is missing. 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
[GitHub] [incubator-mxnet] leezu commented on issue #18392: Need cuda 10.2 python prebuild wheel for nvidia jetson platform.
leezu commented on issue #18392: URL: https://github.com/apache/incubator-mxnet/issues/18392#issuecomment-633000276 @JustinhoCHN you need to download the Deb files via Nvidia sdk manager.. Unfortunately Nvidia hasn't made them available outside of sdk manager yet. CI uses a private copy of the files. 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
[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #18393: Fix true_divide logging
mxnet-bot commented on pull request #18393: URL: https://github.com/apache/incubator-mxnet/pull/18393#issuecomment-632999417 Hey @sxjscience , Thanks for submitting the PR All tests are already queued to run once. If tests fail, you can trigger one or more tests again with the following commands: - To trigger all jobs: @mxnet-bot run ci [all] - To trigger specific jobs: @mxnet-bot run ci [job1, job2] *** **CI supported jobs**: [centos-gpu, centos-cpu, website, unix-cpu, unix-gpu, windows-cpu, windows-gpu, miscellaneous, sanity, clang, edge] *** _Note_: Only following 3 categories can trigger CI :PR Author, MXNet Committer, Jenkins Admin. All CI tests must pass before the PR can be merged. 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
[GitHub] [incubator-mxnet] sxjscience opened a new pull request #18393: Fix true_divide logging
sxjscience opened a new pull request #18393: URL: https://github.com/apache/incubator-mxnet/pull/18393 ## Description ## Fix https://github.com/apache/incubator-mxnet/issues/18353 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
[GitHub] [incubator-mxnet] sxjscience commented on pull request #18393: Fix true_divide logging
sxjscience commented on pull request #18393: URL: https://github.com/apache/incubator-mxnet/pull/18393#issuecomment-632999426 @ZheyuYe 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
[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 e90e897 Bump the publish timestamp. e90e897 is described below commit e90e8972d6c2cc9a0d396067e17d2d0bf22e2bf2 Author: mxnet-ci AuthorDate: Sat May 23 06:53:54 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..01cb5b2 --- /dev/null +++ b/date.txt @@ -0,0 +1 @@ +Sat May 23 06:53:53 UTC 2020
[GitHub] [incubator-mxnet] JustinhoCHN opened a new issue #18392: Need cuda 10.2 python prebuild wheel for nvidia jetson platform.
JustinhoCHN opened a new issue #18392: URL: https://github.com/apache/incubator-mxnet/issues/18392 ## Description Currently the newest nvidia jetson jetpack version is 4.4 DP, with cuda 10.2, cudnn 8.0. I tried to install mxnet 1.6 in jetpack 4.4, following the [same pipeline as in jetpack 4.3](https://github.com/apache/incubator-mxnet/issues/17923#issuecomment-606444051) #17923 , failed to import mxnet. Here's what I tried: 1. Install cuda 10.0 toolkit in jetpack 4.4, [reference](https://forums.developer.nvidia.com/t/how-to-to-install-cuda-10-0-on-jetson-nano-separately/82405/4?u=coderjustin) ``` sudo apt-get install cuda-toolkit-10.0 ``` 2. [followed the same installation pipeline as in jetpack 4.3](https://github.com/apache/incubator-mxnet/issues/17923#issuecomment-606444051) 3. Test importing mxnet ``` root@jetbot:/home/jetbot/Downloads# python3 Python 3.6.9 (default, Apr 18 2020, 01:56:04) [GCC 8.4.0] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import mxnet as mx Segmentation fault (core dumped) ``` So the mxnet-1.6.0-py3-none-any.whl doesn't work in jetpack 4.4, we need a mxnet python wheel that are compiled with cuda 10.2. ## Known implementations The [ci jetson dockerfile](https://github.com/apache/incubator-mxnet/blob/master/ci/docker/Dockerfile.build.jetson) in master branch can be modify using cuda 10.2, I tried to replace the deb file mentioned in the dockerfile, but I can't find ```cuda-repo-cross-aarch64-10-2-x.deb``` in jetpack sdk manager download folder. Someone please help me, 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
[GitHub] [incubator-mxnet] leezu commented on pull request #18379: change _Pragma to #pragma
leezu commented on pull request #18379: URL: https://github.com/apache/incubator-mxnet/pull/18379#issuecomment-632996894 Yes, that's an option. I'm not convinced though that only fixing this current incompatibility without introducing any mechanism of preventing future problems is helpful. So if you think we need to support MSVC 2017, then let's also turn it on in the CI. If not, then let's just use MSVC 2019 on the CD. But supporting MSVC 2017 without having any CI checks would just cause unnecessary problems down the road (with the CD breaking often) 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
[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #18352: Back port the PR #17672:boolean indexing to branch v1.7.x
mxnet-bot commented on pull request #18352: URL: https://github.com/apache/incubator-mxnet/pull/18352#issuecomment-632996589 Jenkins CI successfully triggered : [edge] 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
[GitHub] [incubator-mxnet] Alicia1529 commented on pull request #18352: Back port the PR #17672:boolean indexing to branch v1.7.x
Alicia1529 commented on pull request #18352: URL: https://github.com/apache/incubator-mxnet/pull/18352#issuecomment-632996582 @mxnet-bot run ci [edge] 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
[GitHub] [incubator-mxnet] Alicia1529 commented on pull request #18351: Back port the PR #17672:boolean indexing to branch v1.x
Alicia1529 commented on pull request #18351: URL: https://github.com/apache/incubator-mxnet/pull/18351#issuecomment-632996540 @mxnet-bot run ci [edge] 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
[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #18351: Back port the PR #17672:boolean indexing to branch v1.x
mxnet-bot commented on pull request #18351: URL: https://github.com/apache/incubator-mxnet/pull/18351#issuecomment-632996551 Jenkins CI successfully triggered : [edge] 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
[GitHub] [incubator-mxnet] ZheyuYe commented on issue #18353: [Numpy] Division fails for differnt floating dtypes
ZheyuYe commented on issue #18353: URL: https://github.com/apache/incubator-mxnet/issues/18353#issuecomment-632994463 Actually, for this issue, we might expect a proper error that aborts the compuation. 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
