a637960fab61b66848a36e6a5caf0204c155af01,keras/engine/sequential.py,Sequential,add,#Sequential#Any#,94

Before Change

                else:
                    // We were passed a regular layer, and it should
                    // know about its input shape. Otherwise, that"s an error.
                    if not hasattr(layer, "batch_input_shape"):
                        raise ValueError("The first layer in a "
                                         "Sequential model must "
                                         "get an `input_shape` or "
                                         "`batch_input_shape` argument.")
                    batch_shape = layer.batch_input_shape
                    dtype = layer.dtype
                // Instantiate the input layer.
                x = Input(batch_shape=batch_shape,

After Change

                    batch_shape = first_layer.batch_input_shape
                    dtype = first_layer.dtype

                if hasattr(first_layer, "batch_input_shape"):
                    batch_shape = first_layer.batch_input_shape
                    dtype = first_layer.dtype
                    // Instantiate the input layer.
                    x = Input(
                        batch_shape=batch_shape,
                        dtype=dtype,
                        name=layer.name + "_input")
                    // This will build the current layer
                    // and create the node connecting the current layer
                    // to the input layer we just created.
                    layer(x)
                    set_inputs = True
                else:
                    // The layer doesn"t know about its expected shape.
                    // We will have to
                    // build the model lazily on `fit`/etc.
                    batch_shape = None
            else:
                // Corner case where the user passes an InputLayer via `add`.
                assert len(layer._inbound_nodes[-1].output_tensors) == 1
                set_inputs = True

Instances