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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
@@ -4074,8 +4074,8 @@ 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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4077-
<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)">
4078-
<caption>Tensor limits for {{MLGraphBuilder/abs()}}/{{MLGraphBuilder/identity()}}/{{MLGraphBuilder/neg()}}</caption>
4077+
<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>
@@ -4087,7 +4087,7 @@ 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>
@@ -4114,7 +4114,7 @@ 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>
@@ -4128,6 +4128,33 @@ partial dictionary MLOpSupportLimits {
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</tr>
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</table>
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4131+
<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>
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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>
4153+
<td>[=/same rank as|same as=] {{input}}</td>
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<td>0 to 5</td>
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</tr>
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</table>
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<table id=tensor-limits-elementwise-unary-sign class='data' link-for="MLGraphBuilder/sign(input, options)">
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<caption>Tensor limits for {{MLGraphBuilder/sign()}}</caption>
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<thead>
@@ -8246,8 +8273,8 @@ 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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8249-
<table id=tensor-limits-pooling-averagepool2d-maxpool2d class='data' link-for="MLGraphBuilder/averagePool2d(input, options), MLGraphBuilder/maxPool2d(input, options)">
8250-
<caption>Tensor limits for {{MLGraphBuilder/averagePool2d()}}/{{MLGraphBuilder/maxPool2d()}}</caption>
8276+
<table id=tensor-limits-pooling-averagepool2d-l2pool2d class='data' link-for="MLGraphBuilder/averagePool2d(input, options), MLGraphBuilder/l2Pool2d(input, options)">
8277+
<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>
@@ -8259,7 +8286,7 @@ partial dictionary MLOpSupportLimits {
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</thead>
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<tr>
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<td>{{input}}</td>
8262-
<td>specified as part of operation steps</td>
8289+
<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>
@@ -8273,8 +8300,8 @@ partial dictionary MLOpSupportLimits {
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</tr>
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</table>
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8276-
<table id=tensor-limits-pooling-l2pool2d class='data' link-for="MLGraphBuilder/l2Pool2d(input, options)">
8277-
<caption>Tensor limits for {{MLGraphBuilder/l2Pool2d()}}</caption>
8303+
<table id=tensor-limits-pooling-maxpool2d class='data' link-for="MLGraphBuilder/maxPool2d(input, options)">
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<caption>Tensor limits for {{MLGraphBuilder/maxPool2d()}}</caption>
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<thead>
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<tr>
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<th>operand</th>
@@ -8286,17 +8313,17 @@ partial dictionary MLOpSupportLimits {
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</thead>
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<tr>
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<td>{{input}}</td>
8289-
<td>specified as part of operation steps</td>
8290-
<td></td>
8316+
<td>[=/any data type|any=]</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>
8292-
<td></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>
8297-
<td></td>
8324+
<td>{{MLOperandDataType/"float32"}}, {{MLOperandDataType/"float16"}}</td>
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<td>4</td>
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<td>4</td>
8299-
<td></td>
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</tr>
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</table>
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@@ -8599,8 +8626,8 @@ 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.
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</div>
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8602-
<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)">
8603-
<caption>Tensor limits for {{MLGraphBuilder/reduceL1()}}/{{MLGraphBuilder/reduceMax()}}/{{MLGraphBuilder/reduceMin()}}/{{MLGraphBuilder/reduceSum()}}/{{MLGraphBuilder/reduceSumSquare()}}</caption>
8629+
<table id=tensor-limits-reduction-reducel1-reducesum-reducesumsquare class='data' link-for="MLGraphBuilder/reduceL1(input, options), MLGraphBuilder/reduceSum(input, options), MLGraphBuilder/reduceSumSquare(input, options)">
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<caption>Tensor limits for {{MLGraphBuilder/reduceL1()}}/{{MLGraphBuilder/reduceSum()}}/{{MLGraphBuilder/reduceSumSquare()}}</caption>
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<thead>
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<tr>
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<th>operand</th>
@@ -8612,7 +8639,7 @@ partial dictionary MLOpSupportLimits {
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</thead>
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<tr>
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<td>{{input}}</td>
8615-
<td>specified as part of operation steps</td>
8642+
<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>
@@ -8626,8 +8653,8 @@ partial dictionary MLOpSupportLimits {
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</tr>
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</table>
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8629-
<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)">
8630-
<caption>Tensor limits for {{MLGraphBuilder/reduceL2()}}/{{MLGraphBuilder/reduceLogSum()}}/{{MLGraphBuilder/reduceLogSumExp()}}/{{MLGraphBuilder/reduceMean()}}/{{MLGraphBuilder/reduceProduct()}}</caption>
8656+
<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)">
8657+
<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>
@@ -8639,7 +8666,61 @@ partial dictionary MLOpSupportLimits {
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</thead>
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<tr>
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<td>{{input}}</td>
8642-
<td>specified as part of operation steps</td>
8669+
<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>
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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"}}</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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</table>
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8683+
<table id=tensor-limits-reduction-reducemax-reducemin class='data' link-for="MLGraphBuilder/reduceMax(input, options), MLGraphBuilder/reduceMin(input, options)">
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<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>
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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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</table>
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<table id=tensor-limits-reduction-reduceproduct class='data' link-for="MLGraphBuilder/reduceProduct(input, options)">
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<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>
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<td>{{input}}</td>
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<td>{{MLOperandDataType/"float32"}}, {{MLOperandDataType/"float16"}}, {{MLOperandDataType/"int32"}}, {{MLOperandDataType/"uint32"}}, {{MLOperandDataType/"int64"}}, {{MLOperandDataType/"uint64"}}</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>

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