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Update documentation for mxnet.metric.np #5977

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merged 1 commit into from
Apr 26, 2017
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Update documentation for mxnet.metric.np #5977

merged 1 commit into from
Apr 26, 2017

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@indhub indhub commented Apr 25, 2017

@mli, @zackchase, @madjam, @nswamy, @Roshrini, @jiajiechen
Please review and merge.

@madjam madjam added the Doc label Apr 26, 2017
@piiswrong piiswrong merged commit 22aac01 into apache:master Apr 26, 2017
cjolivier01 pushed a commit to cjolivier01/mxnet that referenced this pull request Apr 26, 2017
piiswrong pushed a commit that referenced this pull request May 16, 2017
…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
…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
@indhub indhub deleted the doc/numpymetric branch June 2, 2017 18:38
Guneet-Dhillon pushed a commit to Guneet-Dhillon/mxnet that referenced this pull request Sep 13, 2017
Guneet-Dhillon pushed a commit to Guneet-Dhillon/mxnet that referenced this pull request Sep 13, 2017
…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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3 participants