Correct wrong description for multidirectional broadcastable Pow (onn…

…x#2999)

* remove wrong description for pow

Signed-off-by: Chun-Wei Chen <jacky82226@gmail.com>

* Add size check to make_tensor (onnx#2987)

Co-authored-by: Ke Zhang <linkerzhang@yeah.net>
Signed-off-by: Chun-Wei Chen <jacky82226@gmail.com>

* Fix float16 data convert issue in numpy_helper.to_array (onnx#3002)

* handle f16 case for to_array

* fix flake8

* nit: comment

Co-authored-by: Ashwini Khade <askhade@microsoft.com>
Signed-off-by: Chun-Wei Chen <jacky82226@gmail.com>

* Deprecate Travis CI (onnx#2773)

* adding gtests for c++ api test

* deprecate travis

* adding the build badges for the new pipelines in Azure, deprecating travis build badge, renaming circleCI badge

* updating badge label

* removing - in badge names

* c++ api changes for linux

* update environment variables

* update env variables, setup tools call

* Update Linux-CI.yml for Azure Pipelines

* revert changes to Linux and Mac CIs

* delete last travis file

Signed-off-by: Chun-Wei Chen <jacky82226@gmail.com>

* Fix shape inference of scalar ConstantOfShape (onnx#3005)

When input shape is (0), we do not add any dim to inferred
shape but we should initialize tensor_type.shape by calling
mutable_shape().

Co-authored-by: Ashwini Khade <askhade@microsoft.com>
Signed-off-by: Chun-Wei Chen <jacky82226@gmail.com>

* fix shape inference for loop (onnx#3014)

Signed-off-by: Chun-Wei Chen <jacky82226@gmail.com>

* Fix ConvTranspose: enhance attribute check (onnx#3000)

* add check for using auto_pad and pads simultaneously

* fix description for auto_pads == SAME_UPPER

* update docs for operator

* fix the old one as well

* add a test

* Revert "fix description for auto_pads == SAME_UPPER"

This reverts commit e75e287.

* Revert "update docs for operator"

This reverts commit 70952c0.

* Revert "fix the old one as well"

This reverts commit 8a0482d.

Co-authored-by: Ashwini Khade <askhade@microsoft.com>
Signed-off-by: Chun-Wei Chen <jacky82226@gmail.com>

* Schema change to support dynamic shapes in ORT (onnx#2955)

* Changes to schema and python tests

* Modify test

* Remove attribute that is input also

* Changes to optimizers, adapters and tests

* Run flake8

* undo unrequired comit files, fix formatting, review changes

* Fix ci test, cleanup

* Fix narrowing conversion error

* add missed test model

Co-authored-by: G. Ramalingam <grama@microsoft.com>
Signed-off-by: Chun-Wei Chen <jacky82226@gmail.com>

* fix loop shape inference for ver 11 (onnx#3023)

Signed-off-by: Chun-Wei Chen <jacky82226@gmail.com>

* Update softmax family ops behavior to align with other frameworks (fix onnx#2289) (onnx#2879)

* Update softmax family ops behavior to align with other frameworks

* Update logsoftmax, hardmax tests, regenerate docs and test data

* fix wrong input name in function

* regenerate test data

* fix flake8 error

* regenerate docs

* regenerate docs

* add missing type annotation for hardmax

* add the math for softmax family operators

* remove the 'description' field in docs as it is covered by the math

* fix wrong format in axis attr

* replace name with description

* restore the name field for axis attr

* regenerate docs

* regenerate docs

* add the missing name

* regenerate docs

* update reducesum to align with master

* regenerate tests

Co-authored-by: Wei-Sheng Chin <wschin@outlook.com>
Signed-off-by: Chun-Wei Chen <jacky82226@gmail.com>

Co-authored-by: G. Ramalingam <grama@microsoft.com>
Co-authored-by: Ke Zhang <linkerzhang@yeah.net>
Co-authored-by: Ashwini Khade <askhade@microsoft.com>
Co-authored-by: Vinitra Swamy <vinitras@gmail.com>
Co-authored-by: Shinichiro Hamaji <shinichiro.hamaji@gmail.com>
Co-authored-by: ashbhandare <ash.bhandare@gmail.com>
Co-authored-by: daquexian <daquexian566@gmail.com>
Co-authored-by: Wei-Sheng Chin <wschin@outlook.com>

docs/Changelog.md

@@ -7190,7 +7190,7 @@ This version of the operator has been available since version 7 of the default O
 
 <dl>
 <dt><tt>Z</tt> : T</dt>
-<dd>Output tensor (same size as X)</dd>
+<dd>Output tensor.</dd>
 </dl>
 
 #### Type Constraints
@@ -14685,7 +14685,7 @@ This version of the operator has been available since version 12 of the default
 
 <dl>
 <dt><tt>Z</tt> : T</dt>
-<dd>Output tensor (same size as X)</dd>
+<dd>Output tensor.</dd>
 </dl>
 
 #### Type Constraints
@@ -16965,7 +16965,7 @@ This version of the operator has been available since version 13 of the default
 
 <dl>
 <dt><tt>Z</tt> : T</dt>
-<dd>Output tensor (same size as X)</dd>
+<dd>Output tensor.</dd>
 </dl>
 
 #### Type Constraints

docs/Operators.md

@@ -12575,7 +12575,7 @@ Other versions of this operator: <a href="Changelog.md#Pow-1">1</a>, <a href="Ch
 
 <dl>
 <dt><tt>Z</tt> : T</dt>
-<dd>Output tensor (same size as X)</dd>
+<dd>Output tensor.</dd>
 </dl>
 
 #### Type Constraints

onnx/defs/math/defs.cc

@@ -596,7 +596,7 @@ ONNX_OPERATOR_SET_SCHEMA(
             std::string(Pow_ver13_doc) + GenerateBroadcastingDocMul()))
         .Input(0, "X", "First operand, base of the exponent.", "T")
         .Input(1, "Y", "Second operand, power of the exponent.", "T1")
-        .Output(0, "Z", "Output tensor (same size as X)", "T")
+        .Output(0, "Z", "Output tensor.", "T")
         .TypeConstraint(
             "T",
             {"tensor(int32)",

onnx/defs/math/old.cc

@@ -419,7 +419,7 @@ ONNX_OPERATOR_SET_SCHEMA(
             std::string(Pow_ver12_doc) + GenerateBroadcastingDocMul()))
         .Input(0, "X", "First operand, base of the exponent.", "T")
         .Input(1, "Y", "Second operand, power of the exponent.", "T1")
-        .Output(0, "Z", "Output tensor (same size as X)", "T")
+        .Output(0, "Z", "Output tensor.", "T")
         .TypeConstraint(
             "T",
             {"tensor(int32)",
@@ -1338,7 +1338,7 @@ ONNX_OPERATOR_SET_SCHEMA(
         .SetDoc(std::string(Pow_ver7_doc) + GenerateBroadcastingDocMul())
         .Input(0, "X", "First operand, base of the exponent.", "T")
         .Input(1, "Y", "Second operand, power of the exponent.", "T")
-        .Output(0, "Z", "Output tensor (same size as X)", "T")
+        .Output(0, "Z", "Output tensor.", "T")
         .TypeConstraint(
             "T",
             {"tensor(float16)", "tensor(float)", "tensor(double)"},