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index.bs

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@@ -3841,13 +3841,6 @@ partial interface MLGraphBuilder {
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optional MLOperatorOptions options = {});
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};
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dictionary MLQuantizationSupportLimits {
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MLSupportLimits input;
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MLSupportLimits scale;
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MLSupportLimits zeroPoint;
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MLSupportLimits output;
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};
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partial dictionary MLOpSupportLimits {
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MLQuantizationSupportLimits quantizeLinear;
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};
@@ -4309,16 +4302,6 @@ partial dictionary MLOpSupportLimits {
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**Returns:** an {{MLOperand}}. The output N-D tensor of [=MLOperand/rank=] equal to the [=MLOperand/rank=] of *input*.
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</div>
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{{MLGatherSupportLimits}} has the following members:
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<dl dfn-type=dict-member dfn-for=MLGatherSupportLimits>
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: <dfn>input</dfn>
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:: {{MLSupportLimits}} for input operand.
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: <dfn>indices</dfn>
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:: {{MLSupportLimits}} for indices operand.
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: <dfn>output</dfn>
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:: {{MLSupportLimits}} for output operand.
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</dl>
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<table id=constraints-gatherelements class='data' link-for="MLGraphBuilder/gatherElements(input, indices, options)">
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<caption>Constraints for {{MLGraphBuilder/gatherElements()}}</caption>
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<thead>
@@ -8187,10 +8170,6 @@ partial dictionary MLOpSupportLimits {
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Scatter slices of values from the update tensor atop the input tensor according to the indices.
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<script type=idl>
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dictionary MLScatterOptions : MLOperatorOptions {
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[EnforceRange] unsigned long axis = 0;
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};
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partial interface MLGraphBuilder {
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MLOperand scatterND(MLOperand input,
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MLOperand indices,

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