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[KVStore] Add support for other data types#5818

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mli merged 12 commits intoapache:masterfrom
ZihengJiang:kvstore
Apr 25, 2017
Merged

[KVStore] Add support for other data types#5818
mli merged 12 commits intoapache:masterfrom
ZihengJiang:kvstore

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@ZihengJiang ZihengJiang commented Apr 13, 2017 •
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@ZihengJiang ZihengJiang changed the title Fix kvstore type [KVStore] Add support for other data types Apr 13, 2017
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Godricly commented Apr 13, 2017

How do you support kvstore of DType when using ps-lite? If I remember correctly, the underling ps-lite is not supporting dtype.

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ZihengJiang commented Apr 13, 2017

@Godricly it only supports kvstore='local'/'device' for now

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ZihengJiang commented Apr 19, 2017

Discussion is needed due to this pr may involve some api change. The pr is raised to address dtype problem of kvstore, and it requires user to provide a dtype field in his DataIter:

But looks like there exists some legacy case which uses tuple as provide_data? https://github.com/dmlc/mxnet/blob/master/tests/python/train/test_dtype.py#L130

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piiswrong commented Apr 19, 2017 •
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model and module need to parse provide_data and convert to datadesc if necessary.
see example in module and executor_group

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Godricly commented Apr 20, 2017

I tried 2 provide a infer datatype last year, LOL. #2559 #2564
What I suggest is to refactor ps-lite with better DType support before moving on in mxnet.#58

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mli commented Apr 24, 2017

do we need to update module as well?

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mli commented Apr 24, 2017

@Godricly ps-lite supports various data types. one can use templated SArray, such as SArray. Internally ps-lite use char for communication. So any type with size >= sizeof(char) should be fine.

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ZihengJiang commented Apr 24, 2017

@mli module has been updated, it would be more appropriate to change the argument data_shapes/label_shapes to data_attrs/label_attrs here(https://github.com/ZihengJiang/mxnet/blob/kvstore/python/mxnet/module/module.py#L323), but I keep it for compatible.

piiswrong
piiswrong reviewed Apr 25, 2017
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python/mxnet/module/base_module.py
warnings.warn(msg)


def _parse_data_desc(data_names, label_names, data_shapes, label_shapes):
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argument name changes has no practical benefit but can cause problems. Let's keep the original names and improve documents.

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piiswrong reviewed Apr 25, 2017
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python/mxnet/module/module.py Outdated
self.data_names, self.label_names, data_shapes, label_shapes)
data_attrs = data_shapes
label_attrs = label_shapes
self._data_attrs, self._label_attrs = _parse_data_desc(
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same here

@mli mli merged commit 02671eb into apache:master Apr 25, 2017
cjolivier01 pushed a commit to cjolivier01/mxnet that referenced this pull request Apr 26, 2017
@ZihengJiang @cjolivier01
[KVStore] Add support for other data types (apache#5818)
316c313 
* Fix kvstore type

* Fix lint

* Parse inputs to DataDesc

* Make module support dtype

* Fix lint

* Add default dtype in Comm

* Fix lint

* Revert rename
piiswrong pushed a commit that referenced this pull request May 16, 2017
@cjolivier01 @piiswrong
Batch Norm rewrite without mshadow, 1D, 2D, 3D, float16, float32, flo…
8300fbe 
…at64 as well as operator gtest framework (#5936)

* Batch Norm rewrite without mshadow as well as operator gtest framework

* performance testing

* lint fixes

* use CUDNN for this test

* remove superfluous omp define

* Fix file names in comments

* build, run, clean gtest works (although a test is failing)

* CR comments

* Adjust timing tests for more strenuous sample

* Remove temp resource allocation

* DeviceTensor3 added, forEachFast not yet converted

* DeviceTensor3 version working

* DeviceTensor3 working

* .

* Fix for use_global_stats

* fixed bug with testing suite for double (Float64)

* python unit tests working for batchnorm

* python unit tests

* Update documentation for mxnet.initializer.Mixed (#5937)

* Update documentation for SVMOutput. (#5931)

* Update documentation for SVMOutput.

* Update doc for SVMOutput - fix formatting.

* Adding install instruction for Ubuntu-CPU-Python (#5885)

* edit ndarray API docs (#5806)

* edit docs in broadcast_reduce_op

* edit docs in broadcast_reduce_op

* minor change

* lint fix

* fix

* mx.nd.ones

* mx.nd.repeat

* mx.nd.reverse

* add example in repeat

* optimizer update

* fix nanprod

* fix optimizer_op api doc

* fix reduce_op api doc

* fix nd.ones api doc

* mx.nd.repeat doc change

* Update broadcast_reduce_op.h

* Symbol docs fixes (#5930)

* symbol docs minor formatting changes

* deepcopy, infer_shape, infer_shape_partial docs modified

* Few more small fixes

* arithmetic functions fixes

* some more modifications

* changes after review

* small change

* grad function note added

* More API Doc Edits (#5886)

* edit activation doc

* doc l2_normalization

* edit MakeLoss doc

* edit blockgrad doc

* blockgrad fileline fix

* edit MakeLoss doc cont.

* doc change 'tensor' to 'multidimensional array'

* l2normalization doc improve

* makeloss doc improve, blockgrad doc improve

* fix doc in activation, l2_normalization, make_loss

* fix minor grammar

* use .describe to avoid build failure.

* Update documentation for mxnet.image.imdecode (#5957)

* Update documentation for mxnet.image.imdecode

* Update documentation for mxnet.image.imdecode (clarify that we need OpenCV and not the CV2 Python library)

* Fix script by adding path to Dockerfile (#5958)

* Clean install script

* Add test for pip installations

* Remove debug statements & comments

* Make test runnable as script and from framework

* Fix path to Dockerfiles

* Putting failing cases at the end

* Update doc for Custom operator. (#5875)

* Update doc for Custom operator.

* Update doc for Custom operator.

* Fix formating in doc for Custom operator.

* Fix formating in doc for Custom operator.

* Minor change to ndarray.Custom documentation.

* Minor edit in doc for Custom operator.

* Minor change to doc for Custom operator. Data is 'NDArray-or-Symbol'.

* Minor formatting change for Custom operator documentation.

* For Custom operator doc, move example into ndarray_doc.py.

* Minor change in Custom operator documentation

* Improve the doc of pick + Update dmlc-core (#5946)

* Add PickParam to fix the docstring and the initial value for axis

* Update dmlc-core

* Update dmlc-core

* Image docs modified (#5973)

* imageIter doc modified

* edited imageiter

* ADD missing Libri_sample.json, FIX minor bugs in speech_recognition example (#5962)

* [KVStore] Add support for other data types (#5818)

* Fix kvstore type

* Fix lint

* Parse inputs to DataDesc

* Make module support dtype

* Fix lint

* Add default dtype in Comm

* Fix lint

* Revert rename

* [cpp-package] Add C++ basic tutorial and build instruction (#5971)

* Add C++ basic tutorial and build instruction

* Remove binaries

* Fix lint

* Avoid sign-compare

* Update documentation for mxnet.metric.np (#5977)

* Getting rid of identity (#5935)

* Activation ops (#5938)

* [Ops] Add op: 'relu'

* Add op: 'sigmoid'

* Introduce 'kernel_launch_op'

* Add tests and describe; move it to elemwise_unary_op

* Fix GPU version

* Convert caffe AbsVal to mx.symbol.abs in caffe converter (#5984)

* Correction to LSTMCell docstring (#5986)

* [Module] fix input_grads order (#5980)

* fix input_grads order + update dmlc-core

* set label to be optional

* update env_var doc (#5964)

* Adjusting make, Callback removed

* batch norm gpu testing

* Batch Norm rewrite without mshadow as well as operator gtest framework

* performance testing

* lint fixes

* use CUDNN for this test

* remove superfluous omp define

* Fix file names in comments

* build, run, clean gtest works (although a test is failing)

* CR comments

* Adjust timing tests for more strenuous sample

* Remove temp resource allocation

* rearrange source into cc and cu files

* lint fixes

* Trigger build

* Use latest mshadow

* temporarily revert channel position parameter field

* Add more tests for batchnorm

* Add more tests for batchnorm

* test_operator_gpu working for all types

* Compiles after AccReal

* Compiles after AccReal

* All tests working

* All tests working

* build, run, clean gtest works (although a test is failing)

* vc++ requires explicit int type for omp for loop

* Repair cpp-package

* signed/unsigned fixed in cuda file

* lint fixes in tests and cpp-package directories

* more lint

* use IsWriting() helper

* Fall-through for unsupported MKL shapes/types

* Fall-through for unsupported MKL shapes/types

* cleaner mkl_off approach

* Warning only whem MKL is requested

* Warning only whem MKL is requested

* lint

* ..

* python problem fixed

* python problem fixed

* Merge branch 'batchnorm' into batchnorm_pr

# Conflicts:
#	src/operator/batch_norm.cc
#	src/operator/batch_norm.cu
#	tests/cpp/operator/batchnorm_test.cc

* lint fix

* lint fix

* lint fix

* lint fix

* lint fix

* Fix visual c++ compile problem

* .

* .

* All unit tests pass again

* lint fix

* fix strange compile errors in CUDNN batchnorm header

* FInish using flags instead of bools

* lint

* Fix timing pass count for forward pass

* Fix R script install roxygen problem

* code formatting, addition of doc strings is causing IDE to add spaces before the calls

* removed commented

* cr comments

* Change back to compilable code

* For CPU mode, store as invstd

* move testing code around a little

* lint fix

* Use AccReal in some places to avoid fp16 problems

* Fix minor invstd problem in cuda version

* remove unused scale param

* add permutation unit test, handle cudnn doesn't like 3D

* .

* lint

* .

* Remove mkl_off

* lint fix and time cudnn when enabled
saurabh3949 pushed a commit to saurabh3949/mxnet that referenced this pull request May 23, 2017
@cjolivier01 @saurabh3949
Batch Norm rewrite without mshadow, 1D, 2D, 3D, float16, float32, flo…
a316d70 
…at64 as well as operator gtest framework (apache#5936)

* Batch Norm rewrite without mshadow as well as operator gtest framework

* performance testing

* lint fixes

* use CUDNN for this test

* remove superfluous omp define

* Fix file names in comments

* build, run, clean gtest works (although a test is failing)

* CR comments

* Adjust timing tests for more strenuous sample

* Remove temp resource allocation

* DeviceTensor3 added, forEachFast not yet converted

* DeviceTensor3 version working

* DeviceTensor3 working

* .

* Fix for use_global_stats

* fixed bug with testing suite for double (Float64)

* python unit tests working for batchnorm

* python unit tests

* Update documentation for mxnet.initializer.Mixed (apache#5937)

* Update documentation for SVMOutput. (apache#5931)

* Update documentation for SVMOutput.

* Update doc for SVMOutput - fix formatting.

* Adding install instruction for Ubuntu-CPU-Python (apache#5885)

* edit ndarray API docs (apache#5806)

* edit docs in broadcast_reduce_op

* edit docs in broadcast_reduce_op

* minor change

* lint fix

* fix

* mx.nd.ones

* mx.nd.repeat

* mx.nd.reverse

* add example in repeat

* optimizer update

* fix nanprod

* fix optimizer_op api doc

* fix reduce_op api doc

* fix nd.ones api doc

* mx.nd.repeat doc change

* Update broadcast_reduce_op.h

* Symbol docs fixes (apache#5930)

* symbol docs minor formatting changes

* deepcopy, infer_shape, infer_shape_partial docs modified

* Few more small fixes

* arithmetic functions fixes

* some more modifications

* changes after review

* small change

* grad function note added

* More API Doc Edits (apache#5886)

* edit activation doc

* doc l2_normalization

* edit MakeLoss doc

* edit blockgrad doc

* blockgrad fileline fix

* edit MakeLoss doc cont.

* doc change 'tensor' to 'multidimensional array'

* l2normalization doc improve

* makeloss doc improve, blockgrad doc improve

* fix doc in activation, l2_normalization, make_loss

* fix minor grammar

* use .describe to avoid build failure.

* Update documentation for mxnet.image.imdecode (apache#5957)

* Update documentation for mxnet.image.imdecode

* Update documentation for mxnet.image.imdecode (clarify that we need OpenCV and not the CV2 Python library)

* Fix script by adding path to Dockerfile (apache#5958)

* Clean install script

* Add test for pip installations

* Remove debug statements & comments

* Make test runnable as script and from framework

* Fix path to Dockerfiles

* Putting failing cases at the end

* Update doc for Custom operator. (apache#5875)

* Update doc for Custom operator.

* Update doc for Custom operator.

* Fix formating in doc for Custom operator.

* Fix formating in doc for Custom operator.

* Minor change to ndarray.Custom documentation.

* Minor edit in doc for Custom operator.

* Minor change to doc for Custom operator. Data is 'NDArray-or-Symbol'.

* Minor formatting change for Custom operator documentation.

* For Custom operator doc, move example into ndarray_doc.py.

* Minor change in Custom operator documentation

* Improve the doc of pick + Update dmlc-core (apache#5946)

* Add PickParam to fix the docstring and the initial value for axis

* Update dmlc-core

* Update dmlc-core

* Image docs modified (apache#5973)

* imageIter doc modified

* edited imageiter

* ADD missing Libri_sample.json, FIX minor bugs in speech_recognition example (apache#5962)

* [KVStore] Add support for other data types (apache#5818)

* Fix kvstore type

* Fix lint

* Parse inputs to DataDesc

* Make module support dtype

* Fix lint

* Add default dtype in Comm

* Fix lint

* Revert rename

* [cpp-package] Add C++ basic tutorial and build instruction (apache#5971)

* Add C++ basic tutorial and build instruction

* Remove binaries

* Fix lint

* Avoid sign-compare

* Update documentation for mxnet.metric.np (apache#5977)

* Getting rid of identity (apache#5935)

* Activation ops (apache#5938)

* [Ops] Add op: 'relu'

* Add op: 'sigmoid'

* Introduce 'kernel_launch_op'

* Add tests and describe; move it to elemwise_unary_op

* Fix GPU version

* Convert caffe AbsVal to mx.symbol.abs in caffe converter (apache#5984)

* Correction to LSTMCell docstring (apache#5986)

* [Module] fix input_grads order (apache#5980)

* fix input_grads order + update dmlc-core

* set label to be optional

* update env_var doc (apache#5964)

* Adjusting make, Callback removed

* batch norm gpu testing

* Batch Norm rewrite without mshadow as well as operator gtest framework

* performance testing

* lint fixes

* use CUDNN for this test

* remove superfluous omp define

* Fix file names in comments

* build, run, clean gtest works (although a test is failing)

* CR comments

* Adjust timing tests for more strenuous sample

* Remove temp resource allocation

* rearrange source into cc and cu files

* lint fixes

* Trigger build

* Use latest mshadow

* temporarily revert channel position parameter field

* Add more tests for batchnorm

* Add more tests for batchnorm

* test_operator_gpu working for all types

* Compiles after AccReal

* Compiles after AccReal

* All tests working

* All tests working

* build, run, clean gtest works (although a test is failing)

* vc++ requires explicit int type for omp for loop

* Repair cpp-package

* signed/unsigned fixed in cuda file

* lint fixes in tests and cpp-package directories

* more lint

* use IsWriting() helper

* Fall-through for unsupported MKL shapes/types

* Fall-through for unsupported MKL shapes/types

* cleaner mkl_off approach

* Warning only whem MKL is requested

* Warning only whem MKL is requested

* lint

* ..

* python problem fixed

* python problem fixed

* Merge branch 'batchnorm' into batchnorm_pr

# Conflicts:
#	src/operator/batch_norm.cc
#	src/operator/batch_norm.cu
#	tests/cpp/operator/batchnorm_test.cc

* lint fix

* lint fix

* lint fix

* lint fix

* lint fix

* Fix visual c++ compile problem

* .

* .

* All unit tests pass again

* lint fix

* fix strange compile errors in CUDNN batchnorm header

* FInish using flags instead of bools

* lint

* Fix timing pass count for forward pass

* Fix R script install roxygen problem

* code formatting, addition of doc strings is causing IDE to add spaces before the calls

* removed commented

* cr comments

* Change back to compilable code

* For CPU mode, store as invstd

* move testing code around a little

* lint fix

* Use AccReal in some places to avoid fp16 problems

* Fix minor invstd problem in cuda version

* remove unused scale param

* add permutation unit test, handle cudnn doesn't like 3D

* .

* lint

* .

* Remove mkl_off

* lint fix and time cudnn when enabled
@Godricly Godricly mentioned this pull request Aug 22, 2017
Closed
Guneet-Dhillon pushed a commit to Guneet-Dhillon/mxnet that referenced this pull request Sep 13, 2017
@ZihengJiang @mli
[KVStore] Add support for other data types (apache#5818)
25c06ee 
* Fix kvstore type

* Fix lint

* Parse inputs to DataDesc

* Make module support dtype

* Fix lint

* Add default dtype in Comm

* Fix lint

* Revert rename
Guneet-Dhillon pushed a commit to Guneet-Dhillon/mxnet that referenced this pull request Sep 13, 2017
@cjolivier01 @piiswrong
Batch Norm rewrite without mshadow, 1D, 2D, 3D, float16, float32, flo…
63b6a10 
…at64 as well as operator gtest framework (apache#5936)

* Batch Norm rewrite without mshadow as well as operator gtest framework

* performance testing

* lint fixes

* use CUDNN for this test

* remove superfluous omp define

* Fix file names in comments

* build, run, clean gtest works (although a test is failing)

* CR comments

* Adjust timing tests for more strenuous sample

* Remove temp resource allocation

* DeviceTensor3 added, forEachFast not yet converted

* DeviceTensor3 version working

* DeviceTensor3 working

* .

* Fix for use_global_stats

* fixed bug with testing suite for double (Float64)

* python unit tests working for batchnorm

* python unit tests

* Update documentation for mxnet.initializer.Mixed (apache#5937)

* Update documentation for SVMOutput. (apache#5931)

* Update documentation for SVMOutput.

* Update doc for SVMOutput - fix formatting.

* Adding install instruction for Ubuntu-CPU-Python (apache#5885)

* edit ndarray API docs (apache#5806)

* edit docs in broadcast_reduce_op

* edit docs in broadcast_reduce_op

* minor change

* lint fix

* fix

* mx.nd.ones

* mx.nd.repeat

* mx.nd.reverse

* add example in repeat

* optimizer update

* fix nanprod

* fix optimizer_op api doc

* fix reduce_op api doc

* fix nd.ones api doc

* mx.nd.repeat doc change

* Update broadcast_reduce_op.h

* Symbol docs fixes (apache#5930)

* symbol docs minor formatting changes

* deepcopy, infer_shape, infer_shape_partial docs modified

* Few more small fixes

* arithmetic functions fixes

* some more modifications

* changes after review

* small change

* grad function note added

* More API Doc Edits (apache#5886)

* edit activation doc

* doc l2_normalization

* edit MakeLoss doc

* edit blockgrad doc

* blockgrad fileline fix

* edit MakeLoss doc cont.

* doc change 'tensor' to 'multidimensional array'

* l2normalization doc improve

* makeloss doc improve, blockgrad doc improve

* fix doc in activation, l2_normalization, make_loss

* fix minor grammar

* use .describe to avoid build failure.

* Update documentation for mxnet.image.imdecode (apache#5957)

* Update documentation for mxnet.image.imdecode

* Update documentation for mxnet.image.imdecode (clarify that we need OpenCV and not the CV2 Python library)

* Fix script by adding path to Dockerfile (apache#5958)

* Clean install script

* Add test for pip installations

* Remove debug statements & comments

* Make test runnable as script and from framework

* Fix path to Dockerfiles

* Putting failing cases at the end

* Update doc for Custom operator. (apache#5875)

* Update doc for Custom operator.

* Update doc for Custom operator.

* Fix formating in doc for Custom operator.

* Fix formating in doc for Custom operator.

* Minor change to ndarray.Custom documentation.

* Minor edit in doc for Custom operator.

* Minor change to doc for Custom operator. Data is 'NDArray-or-Symbol'.

* Minor formatting change for Custom operator documentation.

* For Custom operator doc, move example into ndarray_doc.py.

* Minor change in Custom operator documentation

* Improve the doc of pick + Update dmlc-core (apache#5946)

* Add PickParam to fix the docstring and the initial value for axis

* Update dmlc-core

* Update dmlc-core

* Image docs modified (apache#5973)

* imageIter doc modified

* edited imageiter

* ADD missing Libri_sample.json, FIX minor bugs in speech_recognition example (apache#5962)

* [KVStore] Add support for other data types (apache#5818)

* Fix kvstore type

* Fix lint

* Parse inputs to DataDesc

* Make module support dtype

* Fix lint

* Add default dtype in Comm

* Fix lint

* Revert rename

* [cpp-package] Add C++ basic tutorial and build instruction (apache#5971)

* Add C++ basic tutorial and build instruction

* Remove binaries

* Fix lint

* Avoid sign-compare

* Update documentation for mxnet.metric.np (apache#5977)

* Getting rid of identity (apache#5935)

* Activation ops (apache#5938)

* [Ops] Add op: 'relu'

* Add op: 'sigmoid'

* Introduce 'kernel_launch_op'

* Add tests and describe; move it to elemwise_unary_op

* Fix GPU version

* Convert caffe AbsVal to mx.symbol.abs in caffe converter (apache#5984)

* Correction to LSTMCell docstring (apache#5986)

* [Module] fix input_grads order (apache#5980)

* fix input_grads order + update dmlc-core

* set label to be optional

* update env_var doc (apache#5964)

* Adjusting make, Callback removed

* batch norm gpu testing

* Batch Norm rewrite without mshadow as well as operator gtest framework

* performance testing

* lint fixes

* use CUDNN for this test

* remove superfluous omp define

* Fix file names in comments

* build, run, clean gtest works (although a test is failing)

* CR comments

* Adjust timing tests for more strenuous sample

* Remove temp resource allocation

* rearrange source into cc and cu files

* lint fixes

* Trigger build

* Use latest mshadow

* temporarily revert channel position parameter field

* Add more tests for batchnorm

* Add more tests for batchnorm

* test_operator_gpu working for all types

* Compiles after AccReal

* Compiles after AccReal

* All tests working

* All tests working

* build, run, clean gtest works (although a test is failing)

* vc++ requires explicit int type for omp for loop

* Repair cpp-package

* signed/unsigned fixed in cuda file

* lint fixes in tests and cpp-package directories

* more lint

* use IsWriting() helper

* Fall-through for unsupported MKL shapes/types

* Fall-through for unsupported MKL shapes/types

* cleaner mkl_off approach

* Warning only whem MKL is requested

* Warning only whem MKL is requested

* lint

* ..

* python problem fixed

* python problem fixed

* Merge branch 'batchnorm' into batchnorm_pr

# Conflicts:
#	src/operator/batch_norm.cc
#	src/operator/batch_norm.cu
#	tests/cpp/operator/batchnorm_test.cc

* lint fix

* lint fix

* lint fix

* lint fix

* lint fix

* Fix visual c++ compile problem

* .

* .

* All unit tests pass again

* lint fix

* fix strange compile errors in CUDNN batchnorm header

* FInish using flags instead of bools

* lint

* Fix timing pass count for forward pass

* Fix R script install roxygen problem

* code formatting, addition of doc strings is causing IDE to add spaces before the calls

* removed commented

* cr comments

* Change back to compilable code

* For CPU mode, store as invstd

* move testing code around a little

* lint fix

* Use AccReal in some places to avoid fp16 problems

* Fix minor invstd problem in cuda version

* remove unused scale param

* add permutation unit test, handle cudnn doesn't like 3D

* .

* lint

* .

* Remove mkl_off

* lint fix and time cudnn when enabled
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@ZihengJiang @Godricly @piiswrong @mli