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BruceDaiBruceDai
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update l2Pool2d and separate tables of listing input data types
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Lines changed: 101 additions & 20 deletions

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Lines changed: 101 additions & 20 deletions
Original file line numberDiff line numberDiff line change
@@ -4081,8 +4081,8 @@ partial dictionary MLOpSupportLimits {
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tensor is the same as the shape of input tensor.
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</div>
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4084-
<table id=tensor-limits-elementwise-unary-abs-identity-neg class='data' link-for="MLGraphBuilder/abs(input, options), MLGraphBuilder/identity(input, options), MLGraphBuilder/neg(input, options)">
4085-
<caption>Tensor limits for {{MLGraphBuilder/abs()}}/{{MLGraphBuilder/identity()}}/{{MLGraphBuilder/neg()}}</caption>
4084+
<table id=tensor-limits-elementwise-unary-abs-neg class='data' link-for="MLGraphBuilder/abs(input, options), MLGraphBuilder/neg(input, options)">
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<caption>Tensor limits for {{MLGraphBuilder/abs()}}/{{MLGraphBuilder/neg()}}</caption>
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<thead>
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<tr>
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<th>operand</th>
@@ -4094,7 +4094,7 @@ partial dictionary MLOpSupportLimits {
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</thead>
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<tr>
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<td>{{input}}</td>
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<td>specified as part of operation steps</td>
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<td>{{MLOperandDataType/"float32"}}, {{MLOperandDataType/"float16"}}, {{MLOperandDataType/"int64"}}, {{MLOperandDataType/"int32"}}, {{MLOperandDataType/"int8"}}</td>
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<td>{{MLOperandDataType/"float32"}}, {{MLOperandDataType/"float16"}}, {{MLOperandDataType/"int32"}}</td>
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<td>[=/any rank|N=]</td>
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<td>0 to 5</td>
@@ -4121,7 +4121,7 @@ partial dictionary MLOpSupportLimits {
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</thead>
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<tr>
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<td>{{input}}</td>
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<td>specified as part of operation steps</td>
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<td>{{MLOperandDataType/"float32"}}, {{MLOperandDataType/"float16"}}</td>
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<td>{{MLOperandDataType/"float32"}}, {{MLOperandDataType/"float16"}}</td>
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<td>[=/any rank|N=]</td>
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<td>0 to 5</td>
@@ -4135,6 +4135,33 @@ partial dictionary MLOpSupportLimits {
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</tr>
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</table>
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4138+
<table id=tensor-limits-elementwise-unary-identity class='data' link-for="MLGraphBuilder/identity(input, options)">
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<caption>Tensor limits for {{MLGraphBuilder/identity()}}</caption>
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<thead>
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<tr>
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<th>operand</th>
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<th>[=/allowed data types=]</th>
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<th>[=/required data types=]</th>
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<th>[=/allowed ranks=]</th>
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<th>[=/required ranks=]</th>
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</tr>
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</thead>
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<tr>
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<td>{{input}}</td>
4151+
<td>[=/any data type|any=]</td>
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<td>{{MLOperandDataType/"float32"}}, {{MLOperandDataType/"float16"}}, {{MLOperandDataType/"int32"}}</td>
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<td>[=/any rank|N=]</td>
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<td>0 to 5</td>
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</tr>
4156+
<tr>
4157+
<td>*output*</td>
4158+
<td>[=/same type as|same as=] {{input}}</td>
4159+
<td>{{MLOperandDataType/"float32"}}, {{MLOperandDataType/"float16"}}, {{MLOperandDataType/"int32"}}</td>
4160+
<td>[=/same rank as|same as=] {{input}}</td>
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<td>0 to 5</td>
4162+
</tr>
4163+
</table>
4164+
41384165
<table id=tensor-limits-elementwise-unary-sign class='data' link-for="MLGraphBuilder/sign(input, options)">
41394166
<caption>Tensor limits for {{MLGraphBuilder/sign()}}</caption>
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<thead>
@@ -8255,8 +8282,8 @@ partial dictionary MLOpSupportLimits {
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`output size = ceil(1 + (input size - filter size + beginning padding + ending padding) / stride)`
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</div>
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8258-
<table id=tensor-limits-pooling-averagepool2d-maxpool2d class='data' link-for="MLGraphBuilder/averagePool2d(input, options), MLGraphBuilder/maxPool2d(input, options)">
8259-
<caption>Tensor limits for {{MLGraphBuilder/averagePool2d()}}/{{MLGraphBuilder/maxPool2d()}}</caption>
8285+
<table id=tensor-limits-pooling-averagepool2d-l2pool2d class='data' link-for="MLGraphBuilder/averagePool2d(input, options), MLGraphBuilder/l2Pool2d(input, options)">
8286+
<caption>Tensor limits for {{MLGraphBuilder/averagePool2d()}}/{{MLGraphBuilder/l2Pool2d()}}</caption>
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<thead>
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<tr>
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<th>operand</th>
@@ -8268,7 +8295,7 @@ partial dictionary MLOpSupportLimits {
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</thead>
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<tr>
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<td>{{input}}</td>
8271-
<td>specified as part of operation steps</td>
8298+
<td>{{MLOperandDataType/"float32"}}, {{MLOperandDataType/"float16"}}</td>
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<td>{{MLOperandDataType/"float32"}}, {{MLOperandDataType/"float16"}}</td>
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<td>4</td>
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<td>4</td>
@@ -8282,8 +8309,8 @@ partial dictionary MLOpSupportLimits {
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</tr>
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</table>
82848311

8285-
<table id=tensor-limits-pooling-l2pool2d class='data' link-for="MLGraphBuilder/l2Pool2d(input, options)">
8286-
<caption>Tensor limits for {{MLGraphBuilder/l2Pool2d()}}</caption>
8312+
<table id=tensor-limits-pooling-maxpool2d class='data' link-for="MLGraphBuilder/maxPool2d(input, options)">
8313+
<caption>Tensor limits for {{MLGraphBuilder/maxPool2d()}}</caption>
82878314
<thead>
82888315
<tr>
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<th>operand</th>
@@ -8295,17 +8322,17 @@ partial dictionary MLOpSupportLimits {
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</thead>
82968323
<tr>
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<td>{{input}}</td>
8298-
<td>specified as part of operation steps</td>
8299-
<td></td>
8325+
<td>[=/any data type|any=]</td>
8326+
<td>{{MLOperandDataType/"float32"}}, {{MLOperandDataType/"float16"}}</td>
8327+
<td>4</td>
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<td>4</td>
8301-
<td></td>
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</tr>
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<tr>
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<td>*output*</td>
83058332
<td>[=/same type as|same as=] {{input}}</td>
8306-
<td></td>
8333+
<td>{{MLOperandDataType/"float32"}}, {{MLOperandDataType/"float16"}}</td>
8334+
<td>4</td>
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<td>4</td>
8308-
<td></td>
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</tr>
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</table>
83118338

@@ -8608,8 +8635,8 @@ partial dictionary MLOpSupportLimits {
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**Returns:** an {{MLOperand}}. The output N-D tensor of [=MLOperand/rank=] in the range 0 to {{MLGraphBuilder/reduceL1(input, options)/input}}'s [=MLOperand/rank=], inclusive, depending on {{MLReduceOptions/axes}} and {{MLReduceOptions/keepDimensions}}. If the input operand is a scalar, the reduction function is applied to the scalar value, and the output is also a scalar.
86098636
</div>
86108637

8611-
<table id=tensor-limits-reduction-reducel1-reducemax-reducemin-reducesum-reducesumsquare class='data' link-for="MLGraphBuilder/reduceL1(input, options), MLGraphBuilder/reduceMax(input, options), MLGraphBuilder/reduceMin(input, options), MLGraphBuilder/reduceSum(input, options), MLGraphBuilder/reduceSumSquare(input, options)">
8612-
<caption>Tensor limits for {{MLGraphBuilder/reduceL1()}}/{{MLGraphBuilder/reduceMax()}}/{{MLGraphBuilder/reduceMin()}}/{{MLGraphBuilder/reduceSum()}}/{{MLGraphBuilder/reduceSumSquare()}}</caption>
8638+
<table id=tensor-limits-reduction-reducel1-reducesum-reducesumsquare class='data' link-for="MLGraphBuilder/reduceL1(input, options), MLGraphBuilder/reduceSum(input, options), MLGraphBuilder/reduceSumSquare(input, options)">
8639+
<caption>Tensor limits for {{MLGraphBuilder/reduceL1()}}/{{MLGraphBuilder/reduceSum()}}/{{MLGraphBuilder/reduceSumSquare()}}</caption>
86138640
<thead>
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<tr>
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<th>operand</th>
@@ -8621,7 +8648,7 @@ partial dictionary MLOpSupportLimits {
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</thead>
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<tr>
86238650
<td>{{input}}</td>
8624-
<td>specified as part of operation steps</td>
8651+
<td>{{MLOperandDataType/"float32"}}, {{MLOperandDataType/"float16"}}, {{MLOperandDataType/"int32"}}, {{MLOperandDataType/"uint32"}}, {{MLOperandDataType/"int64"}}, {{MLOperandDataType/"uint64"}}</td>
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<td>{{MLOperandDataType/"float32"}}, {{MLOperandDataType/"float16"}}, {{MLOperandDataType/"int32"}}</td>
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<td>[=/any rank|N=]</td>
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<td>0 to 5</td>
@@ -8635,8 +8662,8 @@ partial dictionary MLOpSupportLimits {
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</tr>
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</table>
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8638-
<table id=tensor-limits-reduction-reducel2-reducelogsum-reducelogsumexp-reducemean-reduceproduct class='data' link-for="MLGraphBuilder/reduceL2(input, options), MLGraphBuilder/reduceLogSum(input, options), MLGraphBuilder/reduceLogSumExp(input, options), MLGraphBuilder/reduceMean(input, options), MLGraphBuilder/reduceProduct(input, options)">
8639-
<caption>Tensor limits for {{MLGraphBuilder/reduceL2()}}/{{MLGraphBuilder/reduceLogSum()}}/{{MLGraphBuilder/reduceLogSumExp()}}/{{MLGraphBuilder/reduceMean()}}/{{MLGraphBuilder/reduceProduct()}}</caption>
8665+
<table id=tensor-limits-reduction-reducel2-reducelogsum-reducelogsumexp-reducemean class='data' link-for="MLGraphBuilder/reduceL2(input, options), MLGraphBuilder/reduceLogSum(input, options), MLGraphBuilder/reduceLogSumExp(input, options), MLGraphBuilder/reduceMean(input, options)">
8666+
<caption>Tensor limits for {{MLGraphBuilder/reduceL2()}}/{{MLGraphBuilder/reduceLogSum()}}/{{MLGraphBuilder/reduceLogSumExp()}}/{{MLGraphBuilder/reduceMean()}}</caption>
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<thead>
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<tr>
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<th>operand</th>
@@ -8648,7 +8675,61 @@ partial dictionary MLOpSupportLimits {
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</thead>
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<tr>
86508677
<td>{{input}}</td>
8651-
<td>specified as part of operation steps</td>
8678+
<td>{{MLOperandDataType/"float32"}}, {{MLOperandDataType/"float16"}}</td>
8679+
<td>{{MLOperandDataType/"float32"}}, {{MLOperandDataType/"float16"}}</td>
8680+
<td>[=/any rank|N=]</td>
8681+
<td>0 to 5</td>
8682+
</tr>
8683+
<tr>
8684+
<td>*output*</td>
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<td>[=/same type as|same as=] {{input}}</td>
8686+
<td>{{MLOperandDataType/"float32"}}, {{MLOperandDataType/"float16"}}</td>
8687+
<td>[=/any rank|N=]</td>
8688+
<td>0 to 5</td>
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</tr>
8690+
</table>
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8692+
<table id=tensor-limits-reduction-reducemax-reducemin class='data' link-for="MLGraphBuilder/reduceMax(input, options), MLGraphBuilder/reduceMin(input, options)">
8693+
<caption>Tensor limits for {{MLGraphBuilder/reduceMax()}}/{{MLGraphBuilder/reduceMin()}}</caption>
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<thead>
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<tr>
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<th>operand</th>
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<th>[=/allowed data types=]</th>
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<th>[=/required data types=]</th>
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<th>[=/allowed ranks=]</th>
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<th>[=/required ranks=]</th>
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</tr>
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</thead>
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<tr>
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<td>{{input}}</td>
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<td>[=/any data type|any=]</td>
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<td>{{MLOperandDataType/"float32"}}, {{MLOperandDataType/"float16"}}, {{MLOperandDataType/"int32"}}</td>
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<td>[=/any rank|N=]</td>
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<td>0 to 5</td>
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</tr>
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<tr>
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<td>*output*</td>
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<td>[=/same type as|same as=] {{input}}</td>
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<td>{{MLOperandDataType/"float32"}}, {{MLOperandDataType/"float16"}}, {{MLOperandDataType/"int32"}}</td>
8714+
<td>[=/any rank|N=]</td>
8715+
<td>0 to 5</td>
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</tr>
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</table>
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8719+
<table id=tensor-limits-reduction-reduceproduct class='data' link-for="MLGraphBuilder/reduceProduct(input, options)">
8720+
<caption>Tensor limits for {{MLGraphBuilder/reduceProduct()}}</caption>
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<thead>
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<tr>
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<th>operand</th>
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<th>[=/allowed data types=]</th>
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<th>[=/required data types=]</th>
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<th>[=/allowed ranks=]</th>
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<th>[=/required ranks=]</th>
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</tr>
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</thead>
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<tr>
8731+
<td>{{input}}</td>
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<td>{{MLOperandDataType/"float32"}}, {{MLOperandDataType/"float16"}}, {{MLOperandDataType/"int32"}}, {{MLOperandDataType/"uint32"}}, {{MLOperandDataType/"int64"}}, {{MLOperandDataType/"uint64"}}</td>
86528733
<td>{{MLOperandDataType/"float32"}}, {{MLOperandDataType/"float16"}}</td>
86538734
<td>[=/any rank|N=]</td>
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<td>0 to 5</td>

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