Increase SequenceMap version to 17 (onnx#4133)

* Increase SequenceMap version to 17

Signed-off-by: Joaquin Anton <janton@nvidia.com>

* Update comment about fwd declarations for opset 17

Signed-off-by: Joaquin Anton <janton@nvidia.com>

Co-authored-by: Chun-Wei Chen <jacky82226@gmail.com>

Author: jantonguirao

docs/Changelog.md

@@ -20771,7 +20771,51 @@ This version of the operator has been available since version 16 of the default
 <dd>Constrain input and output types to any tensor type.</dd>
 </dl>
 
-### <a name="SequenceMap-16"></a>**SequenceMap-16**</a>
+### <a name="Where-16"></a>**Where-16**</a>
+
+  Return elements, either from X or Y, depending on condition.
+  Where behaves like
+  [numpy.where](https://docs.scipy.org/doc/numpy/reference/generated/numpy.where.html)
+  with three parameters.
+
+  This operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).
+
+  **History**
+  - Version 16 adds bfloat16 to the types allowed (for the second and third parameter).
+
+#### Version
+
+This version of the operator has been available since version 16 of the default ONNX operator set.
+
+#### Inputs
+
+<dl>
+<dt><tt>condition</tt> (non-differentiable) : B</dt>
+<dd>When True (nonzero), yield X, otherwise yield Y</dd>
+<dt><tt>X</tt> (differentiable) : T</dt>
+<dd>values selected at indices where condition is True</dd>
+<dt><tt>Y</tt> (differentiable) : T</dt>
+<dd>values selected at indices where condition is False</dd>
+</dl>
+
+#### Outputs
+
+<dl>
+<dt><tt>output</tt> (differentiable) : T</dt>
+<dd>Tensor of shape equal to the broadcasted shape of condition, X, and Y.</dd>
+</dl>
+
+#### Type Constraints
+
+<dl>
+<dt><tt>B</tt> : tensor(bool)</dt>
+<dd>Constrain to boolean tensors.</dd>
+<dt><tt>T</tt> : tensor(uint8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(int8), tensor(int16), tensor(int32), tensor(int64), tensor(bfloat16), tensor(float16), tensor(float), tensor(double), tensor(string), tensor(bool), tensor(complex64), tensor(complex128)</dt>
+<dd>Constrain input and output types to all tensor types (including bfloat).</dd>
+</dl>
+
+## Version 17 of the default ONNX operator set
+### <a name="SequenceMap-17"></a>**SequenceMap-17**</a>
 
   Applies a sub-graph to each sample in the input sequence(s).
 
@@ -20790,7 +20834,7 @@ This version of the operator has been available since version 16 of the default
 
 #### Version
 
-This version of the operator has been available since version 16 of the default ONNX operator set.
+This version of the operator has been available since version 17 of the default ONNX operator set.
 
 #### Attributes
 
@@ -20824,49 +20868,6 @@ This version of the operator has been available since version 16 of the default
 <dd>Constrain to any tensor or sequence type.</dd>
 </dl>
 
-### <a name="Where-16"></a>**Where-16**</a>
-
-  Return elements, either from X or Y, depending on condition.
-  Where behaves like
-  [numpy.where](https://docs.scipy.org/doc/numpy/reference/generated/numpy.where.html)
-  with three parameters.
-
-  This operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).
-
-  **History**
-  - Version 16 adds bfloat16 to the types allowed (for the second and third parameter).
-
-#### Version
-
-This version of the operator has been available since version 16 of the default ONNX operator set.
-
-#### Inputs
-
-<dl>
-<dt><tt>condition</tt> (non-differentiable) : B</dt>
-<dd>When True (nonzero), yield X, otherwise yield Y</dd>
-<dt><tt>X</tt> (differentiable) : T</dt>
-<dd>values selected at indices where condition is True</dd>
-<dt><tt>Y</tt> (differentiable) : T</dt>
-<dd>values selected at indices where condition is False</dd>
-</dl>
-
-#### Outputs
-
-<dl>
-<dt><tt>output</tt> (differentiable) : T</dt>
-<dd>Tensor of shape equal to the broadcasted shape of condition, X, and Y.</dd>
-</dl>
-
-#### Type Constraints
-
-<dl>
-<dt><tt>B</tt> : tensor(bool)</dt>
-<dd>Constrain to boolean tensors.</dd>
-<dt><tt>T</tt> : tensor(uint8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(int8), tensor(int16), tensor(int32), tensor(int64), tensor(bfloat16), tensor(float16), tensor(float), tensor(double), tensor(string), tensor(bool), tensor(complex64), tensor(complex128)</dt>
-<dd>Constrain input and output types to all tensor types (including bfloat).</dd>
-</dl>
-
 # ai.onnx.preview.training
 ## Version 1 of the 'ai.onnx.preview.training' operator set
 ### <a name="ai.onnx.preview.training.Adagrad-1"></a>**ai.onnx.preview.training.Adagrad-1**</a>

docs/Operators.md

@@ -180,7 +180,7 @@ For an operator input/output's differentiability, it can be differentiable,
 |<a href="#MeanVarianceNormalization">MeanVarianceNormalization</a>|<a href="Changelog.md#MeanVarianceNormalization-13">13</a>, <a href="Changelog.md#MeanVarianceNormalization-9">9</a>|
 |<a href="#NegativeLogLikelihoodLoss">NegativeLogLikelihoodLoss</a>|<a href="Changelog.md#NegativeLogLikelihoodLoss-13">13</a>, <a href="Changelog.md#NegativeLogLikelihoodLoss-12">12</a>|
 |<a href="#Range">Range</a>|<a href="Changelog.md#Range-11">11</a>|
-|<a href="#SequenceMap">SequenceMap</a>|<a href="Changelog.md#SequenceMap-16">16</a>|
+|<a href="#SequenceMap">SequenceMap</a>|<a href="Changelog.md#SequenceMap-17">17</a>|
 |<a href="#Softmax">Softmax</a>|<a href="Changelog.md#Softmax-13">13</a>, <a href="Changelog.md#Softmax-11">11</a>, <a href="Changelog.md#Softmax-1">1</a>|
 |<a href="#SoftmaxCrossEntropyLoss">SoftmaxCrossEntropyLoss</a>|<a href="Changelog.md#SoftmaxCrossEntropyLoss-13">13</a>, <a href="Changelog.md#SoftmaxCrossEntropyLoss-12">12</a>|
 
@@ -19694,7 +19694,7 @@ This version of the operator has been available since version 11 of the default
 
 #### Version
 
-This version of the operator has been available since version 16 of the default ONNX operator set.
+This version of the operator has been available since version 17 of the default ONNX operator set.
 
 #### Attributes
 

onnx/backend/test/data/node/test_sequence_map_add_1_sequence_1_tensor/model.onnx

@@ -25,4 +25,4 @@
 y0"
 
 	

-
NB
+
NB

onnx/backend/test/data/node/test_sequence_map_add_1_sequence_1_tensor_expanded/model.onnx

@@ -26,4 +26,4 @@
 y0"
 
 	

-
NB
+
NB

onnx/backend/test/data/node/test_sequence_map_add_2_sequences/model.onnx

@@ -23,4 +23,4 @@
 
 
 
-B
+B

onnx/backend/test/data/node/test_sequence_map_add_2_sequences_expanded/model.onnx

@@ -17,4 +17,4 @@ n
 
y"
 
 	

-
NB
+
NB

onnx/backend/test/data/node/test_sequence_map_extract_shapes/model.onnx

@@ -33,4 +33,4 @@
 y1"
 
 	

-
MB
+
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