 {
    "$comment": "Copyright (c) 2023-2024, ARM Limited.",
    "$comment": "SPDX-License-Identifier: Apache-2.0",
    "$id": "datagen-config.schema.json",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "title": "datagen-config",
    "description": "Data generator configuration for generating TOSA tensor data",
    "type": "object",
    "properties": {
        "version": {
            "description": "version string X.Y of this config data",
            "type": "string"
        },
        "tensors": {
            "type": "object",
            "description": "dictionary of input tensors - keys are the tosa network names",
            "patternProperties":
            {
                "^.*$":
                {
                    "description": "per named tensor config for data generation",
                    "type": "object",
                    "properties": {
                        "generator": {
                            "description": "data generator name - PSEUDO_RANDOM, DOT_PRODUCT, FULL_RANGE, BOUNDARY, or FP_SPECIAL",
                            "type": "string"
                        },
                        "data_type": {
                            "description": "tensor data type, such as: BOOL, INT16, FP32",
                            "type": "string"
                        },
                        "input_type": {
                            "description": "input is variable or constant",
                            "type": "string"
                        },
                        "shape": {
                            "description": "tensor shape array (rank 0 should be [])",
                            "type": "array",
                            "items": {
                                "description": "shape dimension",
                                "type": "integer",
                                "minimum": 1
                            }
                        },
                        "op": {
                            "description": "operator name the tensor is initially used with",
                            "type": "string"
                        },
                        "input_pos": {
                            "description": "tensor input position for the operator (starts at 0)",
                            "type": "integer",
                            "minimum": 0
                        },
                        "pseudo_random_info": {
                            "description": "info required for the PSEUDO_RANDOM generator",
                            "type": "object",
                            "properties":
                            {
                                "rng_seed": {
                                    "description": "random number generator seed",
                                    "type": "integer"
                                },
                                "range": {
                                    "type": "array",
                                    "description": "range of random numbers from low to high inclusively",
                                    "minItems": 2,
                                    "maxItems": 2,
                                    "items": {
                                        "description": "[low value, high value] as strings to allow ints and floats",
                                        "type": "string"
                                    }
                                },
                                "round": {
                                    "type": "boolean",
                                    "description": "force rounding of all values"
                                }
                            },
                            "additionalProperties": false,
                            "required": [ "rng_seed" ]
                        },
                        "dot_product_info": {
                            "description": "info required for the DOT_PRODUCT generator",
                            "type": "object",
                            "properties":
                            {
                                "s": {
                                    "description": "test set 0 to 5 or -1 for other data",
                                    "type": "integer"
                                },
                                "ks": {
                                    "description": "kernel size for this dot product operation",
                                    "type": "integer",
                                    "minimum": 0
                                },
                                "acc_type": {
                                    "description": "operator accumulator type (like tensor data_type)",
                                    "type": "string"
                                },
                                "kernel": {
                                    "type": "array",
                                    "description": "kernel x, y (and z) sizes",
                                    "minItems": 2,
                                    "maxItems": 3,
                                    "items": {
                                        "description": "kernel dimension",
                                        "type": "integer",
                                        "minimum": 1
                                    }
                                },
                                "axis": {
                                    "description": "axis dimension (for reduce_sum)",
                                    "type": "integer",
                                    "minimum": 0
                                }
                            },
                            "additionalProperties": false,
                            "required": [
                                "s",
                                "ks",
                                "acc_type"
                            ]
                        },
                        "full_range_info": {
                            "description": "info required for the FULL_RANGE generator",
                            "type": "object",
                            "properties":
                            {
                                "start_val": {
                                    "description": "starting value of the test data",
                                    "type": "integer",
                                    "minimum": 0
                                }
                            },
                            "additionalProperties": false,
                            "required": [ ]
                        },
                        "fp_special_info": {
                            "description": "info required for the FP_SPECIAL generator",
                            "type": "object",
                            "properties":
                            {
                                "start_idx": {
                                    "description": "starting index for the test data",
                                    "type": "integer",
                                    "minimum": 0
                                }
                            },
                            "additionalProperties": false,
                            "required": [ ]
                        },
                        "fixed_data_info": {
                            "description": "info required for FIXED_DATA generator",
                            "type": "object",
                            "properties":
                            {
                                "data": {
                                    "description": "flattened fixed data",
                                    "type": "array",
                                    "items": {
                                        "description": "integer tensor data",
                                        "type": "integer"
                                    }
                                }
                            },
                            "additionalProperties": false,
                            "required": [ "data" ]
                        }
                    },
                    "additionalProperties": false,
                    "required": [
                        "generator",
                        "data_type",
                        "input_type",
                        "shape",
                        "op",
                        "input_pos"
                    ]
                }
            }
        }
    },
    "additionalProperties": false,
    "required": [
        "version",
        "tensors"
    ]
}