Lines Matching refs:input_data
56 .Input("input_data: float")
73 Samples a path for each instance in `input_data` and returns the
79 input_data: The training batch's features as a 2-d tensor; `input_data[i][j]`
108 const Tensor& input_data = context->input(0);
112 if (input_data.shape().dim_size(0) > 0) {
114 context, input_data.shape().dims() == 2,
115 errors::InvalidArgument("input_data should be two-dimensional"));
119 if (!CheckTensorBounds(context, input_data)) return;
121 const int32 num_data = static_cast<int32>(input_data.shape().dim_size(0));
123 static_cast<int32>(input_data.shape().dim_size(1));
150 const Tensor point = input_data.Slice(i, i + 1);