Searched refs:input_limits (Results 1 – 2 of 2) sorted by relevance
62 TfLiteTensor& input_limits = in EvalT() local68 const bool broadcast_limits = NumElements(&input_limits) == 1; in EvalT()75 if (!broadcast_limits) in_sizes.push_back(input_limits.dims->data[0]); in EvalT()89 const T* limits = GetTensorData<T>(&input_limits); in EvalT()
590 DimensionVector input_limits; in HandleConvolution() local595 input_limits.push_back(1); in HandleConvolution()615 input_limits.push_back(input_limit); in HandleConvolution()628 if (input_limits[spatial_dimension] == output_limits[spatial_dimension] && in HandleConvolution()630 input_limits[spatial_dimension] == window_dim.base_dilation() && in HandleConvolution()632 std::max<int64>(1, input_limits[spatial_dimension] - 1) == in HandleConvolution()635 valid_position_counts.push_back(input_limits[spatial_dimension]); in HandleConvolution()639 if (input_limits[spatial_dimension] == 1 && in HandleConvolution()676 lhs_spatial_index >= input_limits[spatial_dimension]) { in HandleConvolution()