d37727ed2e1f8474e2c1ceb1da5719c1b81f4ab8,batchflow/models/tf/deep_galerkin.py,DeepGalerkin,_make_inputs,#DeepGalerkin#Any#Any#,80

Before Change

        // make sure inputs-placeholder of pde"s dimension (x_1, /dots, x_n, t) is created
        config.update({"initial_block/inputs": "points",
                       "inputs": dict(points={"shape": (n_dims, )})})
        placeholders_, tensors_ = super()._make_inputs(names, config)

        // calculate targets-tensor using rhs of pde and created points-tensor

After Change

        n_dims = config.get("common/n_dims")
        tensors_["points"] = tf.split(tensors_["points"], n_dims, axis=1, name="coordinates")
        tensors_["points"] = tf.concat(tensors_["points"], axis=1)

        // calculate targets-tensor using rhs of pde and created points-tensor
        points = getattr(self, "inputs").get("points")
        q = config.get("common/Q")

Instances