Correct the shape of peepholeWeight for lstmCell operation

Author: BruceDai

index.bs

@@ -2201,7 +2201,7 @@ partial interface MLGraphBuilder {
         - *options*: an optional {{MLLstmCellOptions}}. The optional parameters of the operation.
             - *bias*: an {{MLOperand}}. The 1-D input bias tensor of shape [4 * hidden_size]. The ordering of the bias vectors in the first dimension of the tensor shape is specified according to the *options.layout* argument.
             - *recurrentBias*: an {{MLOperand}}. The 1-D recurrent bias tensor of shape [4 * hidden_size]. The ordering of the bias vectors in the first dimension of the tensor shape is specified according to the *options.layout* argument.
-            - *peepholeWeight*: an {{MLOperand}}. The 1-D weight tensor for peepholes of shape [3 * hidden_size]. The pack ordering of the weight vectors is for the *input (i)*, *output (o)*, and *forget (f)* gate respectively.
+            - *peepholeWeight*: an {{MLOperand}}. The 1-D weight tensor for peepholes of shape [4 * hidden_size]. The pack ordering of the weight vectors is for the *input (i)*, *output (o)*, and *forget (f)* gate respectively.
             - *layout*: an {{MLLstmWeightLayout}}. The ordering of the weight and bias vectors for the internal gates of LSTM, specifically the *input (i)*, *output (o)*, *forget (f)*, and *cell (g)* gate, as indicated in the first dimension of the weight and bias tensor shapes. When not specified, the default layout is *"iofg"*.
             - *activations*: a sequence of {{MLActivation}}. A sequence of three activation functions, the first one is used for the *input (i)*, *forget (f)*, and *output (o)* gate, the second one is used for the *cell (g)* gate, and the last used for filtering the output cell state before combining it with the result of the output gate to form the output hidden state. When not specified, they are assumed to be of the sigmoid function (*"sigmoid"*) followed by two hyperbolic tangent functions (*"tanh"*) respectively.