// Copyright © Advanced Micro Devices, Inc., or its affiliates.
// SPDX-License-Identifier: MIT

include "data_types.fbs";
include "tensor_attributes.fbs";
include "batchnorm_attributes.fbs";
include "batchnorm_backward_attributes.fbs";
include "batchnorm_inference_attributes.fbs";
include "batchnorm_inference_attributes_variance_ext.fbs";
include "convolution_fwd_attributes.fbs";
include "convolution_bwd_attributes.fbs";
include "convolution_wrw_attributes.fbs";
include "layernorm_attributes.fbs";
include "layernorm_backward_attributes.fbs";
include "matmul_attributes.fbs";
include "pointwise_attributes.fbs";
include "rmsnorm_attributes.fbs";
include "rmsnorm_backward_attributes.fbs";
include "block_scale_dequantize_attributes.fbs";
include "block_scale_quantize_attributes.fbs";
include "sdpa_attributes.fbs";
include "sdpa_backward_attributes.fbs";
include "custom_op_attributes.fbs";
include "reduction_attributes.fbs";
include "resample_fwd_attributes.fbs";

namespace hipdnn_flatbuffers_sdk.data_objects;

union NodeAttributes {
	BatchnormInferenceAttributes,
	PointwiseAttributes,
	BatchnormBackwardAttributes,
	BatchnormAttributes,
	ConvolutionFwdAttributes,
	ConvolutionBwdAttributes,
	ConvolutionWrwAttributes,
	BatchnormInferenceAttributesVarianceExt,
	MatmulAttributes,
	RMSNormAttributes,
	LayernormAttributes,
	SdpaAttributes,
	BlockScaleDequantizeAttributes,
	BlockScaleQuantizeAttributes,
	SdpaBackwardAttributes,
	CustomOpAttributes,
	RMSNormBackwardAttributes,
	ReductionAttributes,
	ResampleFwdAttributes,
	LayernormBackwardAttributes
}

table Node {
	name: string;
	compute_data_type: DataType;
	attributes: NodeAttributes;
}

// Semantic version (MAJOR.MINOR.PATCH) of the engine plugin API this graph
// requires. Mirrors hipdnn_plugin_sdk::hipdnn_data_sdk::utilities::Version.
// Stamped by GraphDescriptor::buildGraphFromOperations() from the same
// computeMinimumEnginePluginApiVersion() used by EnginePluginResourceManager's
// applicability filter, so both the deserialize-time reader guard and the
// plugin-version floor derive from a single source of truth.
struct EngineApiVersion {
	major: uint;
	minor: uint;
	patch: uint;
}

// Hipdnn expects that the serialized graph is sorted in topological order, has no cycles,
// and is fully connected (no orphan nodes). Additionally, all tensors in the graph must have unique uids.
table Graph {
	name: string;
	compute_data_type: DataType;
	intermediate_data_type: DataType;
	io_data_type: DataType;
	tensors: [TensorAttributes];
	nodes: [Node];
	preferred_engine_id: long = null;
	// Graph-level opt-in for execute-time override shapes.
	is_override_shape_enabled: bool = false;
	// Minimum engine plugin API version required to execute this graph (RFC 0016 §4.2).
	// Absent on graphs a writer didn't stamp (e.g. hand-built fixtures, JSON-sourced
	// graphs) -- callers must treat a missing field as the baseline "1.0.0" floor,
	// exactly like the field's absence used to mean min_reader_version == 0.
	min_required_engine_api_version: EngineApiVersion;
}

root_type Graph;