From ffccd56cf3efd1a9bb6b6d59c66c1d3e4f756455 Mon Sep 17 00:00:00 2001 From: Joshua Bell Date: Fri, 3 May 2024 09:37:21 -0700 Subject: [PATCH] Use consistent phrasing for operator creation Places that create ops use an inconsistent mixed of simple phrases, camelCase, Title Case, ACRONYMS, and "quoted strings". The most common was camelCase, but the wording can be weird, and the bulk-defined binary/unary/logical/pooling/reduction ops and activations use a "quotedCamelCase", so I went with that. See https://github.com/webmachinelearning/webnn/pull/591#issuecomment-1970083381 for the most commentary. Resolves #591 --- index.bs | 88 ++++++++++++++++++++++++++++---------------------------- 1 file changed, 44 insertions(+), 44 deletions(-) diff --git a/index.bs b/index.bs index d8dda7fb..6077d96c 100644 --- a/index.bs +++ b/index.bs @@ -1443,7 +1443,7 @@ partial interface MLGraphBuilder { 1. Set |desc|.{{MLOperandDescriptor/dataType}} to {{MLOperandDataType/"int64"}}. 1. Set |desc|.{{MLOperandDescriptor/dimensions}} to |outputShape|. 1. *Make graph connections:* - 1. Let |operator| be an [=operator=] for the operation |op|, given |options|. + 1. Let |operator| be an [=operator=] for the |op| operation, given |options|. 1. Let |output| be the result of [=creating an MLOperand=] given [=this=] and |desc|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. @@ -1541,7 +1541,7 @@ partial interface MLGraphBuilder { 1. If its [=MLOperand/shape=] is not equal to « |input|'s [=MLOperand/shape=][|options|.{{MLBatchNormalizationOptions/axis}}] », then [=exception/throw=] a {{TypeError}}. 1. If |options|.{{MLBatchNormalizationOptions/activation}} [=map/exists=], and running its [=MLActivation/validation steps=]] with |input|.{{MLOperand/[[descriptor]]}} returns false, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* - 1. Let |operator| be an [=operator=] for the batchNormalization operation, given |input|, |mean|, |variance| and |options|. + 1. Let |operator| be an [=operator=] for the "batchNormalization" operation, given |input|, |mean|, |variance| and |options|. 1. Let |output| be the result of [=creating an MLOperand=] given [=this=] and |input|.{{MLOperand/[[descriptor]]}}. 1. If |options|.{{MLBatchNormalizationOptions/activation}} [=map/exists=], then add it to |operator|'s [=operator/activation functions=]. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. @@ -1594,7 +1594,7 @@ partial interface MLGraphBuilder { 1. If [=MLGraphBuilder/validating operand=] with [=this=] and |input| returns false, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* - 1. Let |operator| be an [=operator=] for the cast operation, given |type|. + 1. Let |operator| be an [=operator=] for the "cast" operation, given |type|. 1. Let |output| be the result of [=copying an MLOperand=] given |input|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. @@ -1677,7 +1677,7 @@ partial interface MLGraphBuilder { 1. If [=checking clamp options=] given |options| returns false, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=copying an MLOperand=] given |input|. - 1. Let |operator| be an [=operator=] for the clamp operation, given |options|.{{MLClampOptions/minValue}} and |options|.{{MLClampOptions/maxValue}}. + 1. Let |operator| be an [=operator=] for the "clamp" operation, given |options|.{{MLClampOptions/minValue}} and |options|.{{MLClampOptions/maxValue}}. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -1747,7 +1747,7 @@ partial interface MLGraphBuilder { 1. Set |desc|.{{MLOperandDescriptor/dimensions}}[|axis|] to |size|. 1. *Make graph connections:* 1. Let |output| be the result of [=creating an MLOperand=] given [=this=] and |desc|. - 1. Let |operator| be an [=operator=] for the concat operation, given |inputs| and |axis|. + 1. Let |operator| be an [=operator=] for the "concat" operation, given |inputs| and |axis|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/inputs=] to |inputs|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -1950,7 +1950,7 @@ partial interface MLGraphBuilder { 1. If |options|.{{MLConv2dOptions/activation}} [=map/exists=], and running its [=MLActivation/validation steps=]] with |desc| returns false, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=creating an MLOperand=] given [=this=] and |desc|. - 1. Let |operator| be an [=operator=] for the conv2d operation, given |options| and |filter|. + 1. Let |operator| be an [=operator=] for the "conv2d" operation, given |options| and |filter|. 1. If |options|.{{MLConv2dOptions/activation}} [=map/exists=], then add it to |operator|'s [=operator/activations=]. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/inputs=] to |input| and |filter|. @@ -2166,7 +2166,7 @@ partial interface MLGraphBuilder { 1. If |options|.{{MLConvTranspose2dOptions/activation}} [=map/exists=], and running its [=MLActivation/validation steps=]] with |desc| returns false, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=creating an MLOperand=] given [=this=] and |desc|. - 1. Let |operator| be an [=operator=] for the convTranspose2d operation, given |options| and |filter|. + 1. Let |operator| be an [=operator=] for the "convTranspose2d" operation, given |options| and |filter|. 1. If |options|.{{MLConvTranspose2dOptions/activation}} [=map/exists=], then add it to |operator|'s [=operator/activations=]. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/inputs=] to |input| and |filter|. @@ -2227,7 +2227,7 @@ partial interface MLGraphBuilder { 1. If that returns failure, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=creating an MLOperand=] given [=this=] and |descriptor|. - 1. Let |operator| be an [=operator=] for the binary operation |op|, given |a| and |b|. + 1. Let |operator| be an [=operator=] for the |op| operation, given |a| and |b|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/inputs=] to |a| and |b|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -2344,7 +2344,7 @@ Although operations {{MLGraphBuilder/greaterOrEqual()}} and {{MLGraphBuilder/les 1. Set |descriptor|.{{MLOperandDescriptor/dimensions}} to |outputShape|. 1. *Make graph connections:* 1. Let |output| be the result of [=creating an MLOperand=] given [=this=] and |descriptor|. - 1. Let |operator| be an [=operator=] for the logical operation |op|, given |a| and (if |op| is not "not") |b|. + 1. Let |operator| be an [=operator=] for the |op| operation, given |a| and (if |op| is not "not") |b|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/inputs=] to |a| and (if |op| is anything other than "not") |b|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -2453,7 +2453,7 @@ partial interface MLGraphBuilder { 1. If |allowedDataTypes| is given and it does not [=list/contain=] |input|'s [=MLOperand/dataType=], then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=copying an MLOperand=] given |input|. - 1. Let |operator| be an [=operator=] for the unary operation |op|. + 1. Let |operator| be an [=operator=] for the |op| operation. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -2612,7 +2612,7 @@ partial interface MLGraphBuilder { 1. If |input|'s [=MLOperand/dataType=] is not {{MLOperandDataType/"float32"}} or {{MLOperandDataType/"float16"}}, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=copying an MLOperand=] given |input|. - 1. Let |operator| be an [=operator=] for the ELU operation, given |options|. + 1. Let |operator| be an [=operator=] for the "elu" operation, given |options|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -2662,7 +2662,7 @@ partial interface MLGraphBuilder { 1. If that returns failure, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=creating an MLOperand=] given [=this=] and |outputDescriptor|. - 1. Let |operator| be an [=operator=] for the expand operation, given |input| and |newShape|. + 1. Let |operator| be an [=operator=] for the "expand" operation, given |input| and |newShape|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -2736,7 +2736,7 @@ partial interface MLGraphBuilder { 1. Set |desc|.{{MLOperandDescriptor/dataType}} to |input|'s [=MLOperand/dataType=]. 1. *Make graph connections:* 1. Let |output| be the result of [=creating an MLOperand=] given |desc|. - 1. Let |operator| be an [=operator=] for the Gather operation, given |input|, |indices|, and |options|. + 1. Let |operator| be an [=operator=] for the "gather" operation, given |input|, |indices|, and |options|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/inputs=] to |input| and |indices|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -2843,7 +2843,7 @@ partial interface MLGraphBuilder { 1. If |input|'s [=MLOperand/dataType=] is not {{MLOperandDataType/"float32"}} or {{MLOperandDataType/"float16"}}, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=copying an MLOperand=] given |input|. - 1. Let |operator| be an [=operator=] for the gelu operation. + 1. Let |operator| be an [=operator=] for the "gelu" operation. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -2937,7 +2937,7 @@ partial interface MLGraphBuilder { 1. Set |desc|.{{MLOperandDescriptor/dataType}} to |a|'s [=MLOperand/dataType=]. 1. *Make graph connections:* 1. Let |output| be the result of [=creating an MLOperand=] given [=this=] and |desc|. - 1. Let |operator| be an [=operator=] for the GEMM operation, given |options|. + 1. Let |operator| be an [=operator=] for the "gemm" operation, given |options|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/inputs=] to |a| and |b|. 1. If |options|.{{MLGemmOptions/c}} [=map/exists=], then add it to |operator|'s [=operator/inputs=]. @@ -3090,7 +3090,7 @@ partial interface MLGraphBuilder { 1. Set |desc1|.{{MLOperandDescriptor/dataType}} to |input|'s [=MLOperand/dataType=]. 1. Set |desc1|.{{MLOperandDescriptor/dimensions}} to the [=/list=] « |steps|, |numDirections|, |batchSize|, |hiddenSize| ». 1. *Make graph connections:* - 1. Let |operator| be an [=operator=] for "gru", given |weight|, |recurrentWeight|, |steps|, |hiddenSize| and |options| as parameters. + 1. Let |operator| be an [=operator=] for the "gru" operation, given |weight|, |recurrentWeight|, |steps|, |hiddenSize| and |options| as parameters. 1. Let |output0| be the result of [=creating an MLOperand=] given [=this=] and |desc0|. 1. If |options|.{{MLGruOptions/returnSequence}} is true: 1. Let |output1| be the result of [=creating an MLOperand=] given [=this=] and |desc1|. @@ -3266,7 +3266,7 @@ partial interface MLGraphBuilder { 1. If |options|.{{MLGruCellOptions/activations}} [=map/exists=], and running the [=MLActivation/validation steps=] of any [=list/item=] in it with |desc| returns false, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=creating an MLOperand=] given [=this=] and |desc|. - 1. Let |operator| be an [=operator=] for "gruCell", given |weight|, |recurrentWeight|, |hiddenState|, |hiddenSize| and |options| as parameters. + 1. Let |operator| be an [=operator=] for the "gruCell" operation, given |weight|, |recurrentWeight|, |hiddenState|, |hiddenSize| and |options| as parameters. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/inputs=] to |input|, |weight|, |recurrentWeight|, and |hiddenState|. 1. If |options|.{{MLGruCellOptions/bias}} [=map/exists=], then add it to |operator|'s [=operator/inputs=]. @@ -3436,7 +3436,7 @@ partial interface MLGraphBuilder { 1. If |input|'s [=MLOperand/dataType=] is not {{MLOperandDataType/"float32"}} or {{MLOperandDataType/"float16"}}, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=copying an MLOperand=] given |input|. - 1. Let |operator| be an [=operator=] for the hard sigmoid operation, given |options|. + 1. Let |operator| be an [=operator=] for the "hardSigmoid" operation, given |options|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -3505,7 +3505,7 @@ partial interface MLGraphBuilder { 1. If |input|'s [=MLOperand/dataType=] is not {{MLOperandDataType/"float32"}} or {{MLOperandDataType/"float16"}}, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=copying an MLOperand=] given |input|. - 1. Let |operator| be an [=operator=] for the hard-swish operation. + 1. Let |operator| be an [=operator=] for the "hardSwish" operation. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -3591,7 +3591,7 @@ partial interface MLGraphBuilder { 1. If its [=MLOperand/shape=] is not equal to « |input|'s [=MLOperand/shape=][|axis|] », then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=copying an MLOperand=] given |input|. - 1. Let |operator| be an [=operator=] for the instance normalization operation, given |options|. + 1. Let |operator| be an [=operator=] for the "instanceNormalization" operation, given |options|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. If |options|.{{MLInstanceNormalizationOptions/scale}} [=map/exists=], then add it to |operator|'s [=operator/inputs=]. @@ -3700,7 +3700,7 @@ partial interface MLGraphBuilder { 1. If its [=MLOperand/shape=][|index|] is not equal to |size|, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=copying an MLOperand=] given |input|. - 1. Let |operator| be an [=operator=] for the layer normalization operation, given |options|. + 1. Let |operator| be an [=operator=] for the "layerNormalization" operation, given |options|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. If |options|.{{MLLayerNormalizationOptions/scale}} [=map/exists=], then add it to |operator|'s [=operator/inputs=]. @@ -3793,7 +3793,7 @@ partial interface MLGraphBuilder { 1. If |input|'s [=MLOperand/dataType=] is not {{MLOperandDataType/"float32"}} or {{MLOperandDataType/"float16"}}, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=copying an MLOperand=] given |input|. - 1. Let |operator| be an [=operator=] for the Leaky RELU operation, given |options|. + 1. Let |operator| be an [=operator=] for the "leakyRelu" operation, given |options|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -3873,7 +3873,7 @@ partial interface MLGraphBuilder { 1. If |input|'s [=MLOperand/dataType=] is not {{MLOperandDataType/"float32"}} or {{MLOperandDataType/"float16"}}, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=copying an MLOperand=] given |input|. - 1. Let |operator| be an [=operator=] for the linear operation, given |options|. + 1. Let |operator| be an [=operator=] for the "linear" operation, given |options|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -3893,7 +3893,7 @@ partial interface MLGraphBuilder { The linear(|options|) method steps are: - 1. Let |op| be the result of [=creating an MLActivation=] given [=this=], "linear" and |options|. + 1. Let |op| be the result of [=creating an MLActivation=] given [=this=], "linear" and |options|. 1. Return |op|. @@ -4030,7 +4030,7 @@ partial interface MLGraphBuilder { 1. Set |desc2|.{{MLOperandDescriptor/dataType}} to |input|'s [=MLOperand/dataType=]. 1. Set |desc2|.{{MLOperandDescriptor/dimensions}} to the [=/list=] « |steps|, |numDirections|, |batchSize|, |hiddenSize| ». 1. *Make graph connections:* - 1. Let |operator| be an [=operator=] for the LSTM operation, given |weight|, |recurrentWeight|, |steps|, |hiddenSize| and |options|. + 1. Let |operator| be an [=operator=] for the "lstm" operation, given |weight|, |recurrentWeight|, |steps|, |hiddenSize| and |options|. 1. Let |output0| be the result of [=creating an MLOperand=] given [=this=] and |desc|. 1. Let |output1| be the result of [=creating an MLOperand=] given [=this=] and |desc|. 1. If |options|.{{MLLstmOptions/returnSequence}} is true: @@ -4234,7 +4234,7 @@ partial interface MLGraphBuilder { 1. Let |output0| be the result of [=creating an MLOperand=] given [=this=] and |desc|. 1. Let |output1| be the result of [=creating an MLOperand=] given [=this=] and |desc|. 1. Let |output| be the [=/list=] « |output0|, |output1| ». - 1. Let |operator| be an [=operator=] for the LSTM cell operation, given |weight|, |recurrentWeight|, |hiddenState|, |cellState|, |hiddenSize| and |options|. + 1. Let |operator| be an [=operator=] for the "lstmCell" operation, given |weight|, |recurrentWeight|, |hiddenState|, |cellState|, |hiddenSize| and |options|. 1. Set |output0|.{{MLOperand/[[operator]]}} and |output1|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/inputs=] to |input|, |weight|, |recurrentWeight|, |hiddenState|, and |cellState|. 1. If |options|.{{MLLstmCellOptions/bias}} [=map/exists=], then add it to |operator|'s [=operator/inputs=]. @@ -4419,7 +4419,7 @@ partial interface MLGraphBuilder { 1. Set |desc|.{{MLOperandDescriptor/dataType}} to |a|'s [=MLOperand/dataType=]. 1. *Make graph connections:* 1. Let |output| be the result of [=creating an MLOperand=] given [=this=] and |desc|. - 1. Let |operator| be an [=operator=] for the matrix multiplication operation. + 1. Let |operator| be an [=operator=] for the "matmul" operation. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/inputs=] to |a| and |b|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -4495,7 +4495,7 @@ partial interface MLGraphBuilder { 1. Set |desc|.{{MLOperandDescriptor/dimensions}} to |outputShape|. 1. *Make graph connections:* 1. Let |output| be the result of [=creating an MLOperand=] given [=this=] and |desc|. - 1. Let |operator| be an [=operator=] for the padding operation, given |beginningPadding|, |endingPadding| and |options|. + 1. Let |operator| be an [=operator=] for the "padding" operation, given |beginningPadding|, |endingPadding| and |options|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -4716,7 +4716,7 @@ partial interface MLGraphBuilder { 1. Set |desc|.{{MLOperandDescriptor/dimensions}} to |outputShape|. 1. *Make graph connections:* 1. Let |output| be the result of [=creating an MLOperand=] given [=this=] and |desc|. - 1. Let |operator| be an [=operator=] for the |op| pooling operation, given |options|. + 1. Let |operator| be an [=operator=] for the |op| operation, given |options|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -4788,7 +4788,7 @@ partial interface MLGraphBuilder { 1. If that returns failure, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=creating an MLOperand=] given [=this=] and |descriptor|. - 1. Let |operator| be an [=operator=] for the PReLU operation, given |slope|. + 1. Let |operator| be an [=operator=] for the "prelu" operation, given |slope|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/inputs=] to |input| and |slope|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -4893,7 +4893,7 @@ partial interface MLGraphBuilder { 1. Set |desc|.{{MLOperandDescriptor/dimensions}} to |outputShape|. 1. *Make graph connections:* 1. Let |output| be the result of [=creating an MLOperand=] given [=this=] and |desc|. - 1. Let |operator| be an [=operator=] for the |op| reduce operation, given |options|. + 1. Let |operator| be an [=operator=] for the |op| operation, given |options|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -5035,7 +5035,7 @@ partial interface MLGraphBuilder { 1. If |input|'s [=MLOperand/dataType=] is not {{MLOperandDataType/"float32"}}, {{MLOperandDataType/"float16"}}, {{MLOperandDataType/"int32"}}, or {{MLOperandDataType/"int8"}}, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=copying an MLOperand=] given |input|. - 1. Let |operator| be an [=operator=] for the ReLU operation. + 1. Let |operator| be an [=operator=] for the "relu" operation. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -5146,7 +5146,7 @@ partial interface MLGraphBuilder { 1. Let |desc| be the result of [=MLGraphBuilder/calculating resample output sizes=] given |input| and |options|. If that returns failure, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=creating an MLOperand=] given [=this=] and |desc|. - 1. Let |operator| be an [=operator=] for the resample 2D operation, given |options|. + 1. Let |operator| be an [=operator=] for the "resample2d" operation, given |options|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -5186,7 +5186,7 @@ partial interface MLGraphBuilder { 1. Set |desc|.{{MLOperandDescriptor/dimensions}} to |newShape|. 1. *Make graph connections:* 1. Let |output| be the result of [=creating an MLOperand=] given [=this=] and |desc|. - 1. Let |operator| be an [=operator=] for the reshape operation. + 1. Let |operator| be an [=operator=] for the "reshape" operation. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -5271,7 +5271,7 @@ partial interface MLGraphBuilder { 1. If |input|'s [=MLOperand/dataType=] is not {{MLOperandDataType/"float32"}} or {{MLOperandDataType/"float16"}}, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=copying an MLOperand=] given |input|. - 1. Let |operator| be an [=operator=] for the sigmoid operation. + 1. Let |operator| be an [=operator=] for the "sigmoid" operation. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -5322,7 +5322,7 @@ partial interface MLGraphBuilder { 1. If |starts|'s [=list/size=] and |sizes|'s [=list/size=] are not both equal to |input|'s [=MLOperand/rank=], then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=copying an MLOperand=] given |input|. - 1. Let |operator| be an [=operator=] for the slice operation, given |starts| and |sizes|. + 1. Let |operator| be an [=operator=] for the "slice" operation, given |starts| and |sizes|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -5376,7 +5376,7 @@ partial interface MLGraphBuilder { 1. If |axis| is greater than or equal to |input|'s [=MLOperand/rank=], then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=copying an MLOperand=] given |input|. - 1. Let |operator| be an [=operator=] for the softmax operation, given |axis|. + 1. Let |operator| be an [=operator=] for the "softmax" operation, given |axis|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -5443,7 +5443,7 @@ partial interface MLGraphBuilder { 1. If |input|'s [=MLOperand/dataType=] is not {{MLOperandDataType/"float32"}} or {{MLOperandDataType/"float16"}}, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=copying an MLOperand=] given |input|. - 1. Let |operator| be an [=operator=] for the softplus operation. + 1. Let |operator| be an [=operator=] for the "softplus" operation. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -5504,7 +5504,7 @@ partial interface MLGraphBuilder { 1. If |input|'s [=MLOperand/dataType=] is not {{MLOperandDataType/"float32"}} or {{MLOperandDataType/"float16"}}, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=copying an MLOperand=] given |input|. - 1. Let |operator| be an [=operator=] for the softsign operation. + 1. Let |operator| be an [=operator=] for the "softsign" operation. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -5572,7 +5572,7 @@ partial interface MLGraphBuilder { 1. If the sum of its elements is not equal to |input|'s [=MLOperand/shape=][|axis|], then [=exception/throw=] a {{TypeError}}. 1. Otherwise, let |splitCount| be |splits|'s [=list/size=]. 1. *Make graph connections:* - 1. Let |operator| be an [=operator=] for the split operation, given |splits| and |options|. + 1. Let |operator| be an [=operator=] for the "split" operation, given |splits| and |options|. 1. Let |outputs| be a new [=/list=]. 1. [=list/For each=] |index| in [=the range=] 0 to |splitCount|, exclusive: 1. Let |operand| be the result of [=copying an MLOperand=] given |input|. @@ -5647,7 +5647,7 @@ partial interface MLGraphBuilder { 1. If |input|'s [=MLOperand/dataType=] is not {{MLOperandDataType/"float32"}} or {{MLOperandDataType/"float16"}}, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=copying an MLOperand=] given |input|. - 1. Let |operator| be an [=operator=] for the hyperbolic tangent operation. + 1. Let |operator| be an [=operator=] for the "tanh" operation. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -5711,7 +5711,7 @@ partial interface MLGraphBuilder { 1. If it contains duplicate values, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=copying an MLOperand=] given |input|. - 1. Let |operator| be an [=operator=] for the transpose operation, given |options|. + 1. Let |operator| be an [=operator=] for the "transpose" operation, given |options|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -5757,7 +5757,7 @@ partial interface MLGraphBuilder { 1. If |input|'s [=MLOperand/rank=] is less than 2, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=copying an MLOperand=] given |input|. - 1. Let |operator| be an [=operator=] for the triangular operation, given |options|. + 1. Let |operator| be an [=operator=] for the "triangular" operation, given |options|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/input=] to |input|. 1. Set |operator|'s [=operator/output=] to |output|. @@ -5859,7 +5859,7 @@ partial interface MLGraphBuilder { 1. If |condition| is not [=bidirectionally broadcastable=] to |descriptor|.{{MLOperandDescriptor/dimensions}}, then [=exception/throw=] a {{TypeError}}. 1. *Make graph connections:* 1. Let |output| be the result of [=creating an MLOperand=] given [=this=] and |descriptor|. - 1. Let |operator| be an [=operator=] for the where operation, given |condition|, |input| and |other|. + 1. Let |operator| be an [=operator=] for the "where" operation, given |condition|, |input| and |other|. 1. Set |output|.{{MLOperand/[[operator]]}} to |operator|. 1. Set |operator|'s [=operator/inputs=] to |condition|, |input| and |other|. 1. Set |operator|'s [=operator/output=] to |output|.