onnxruntime/js/node/test/e2e/simple-e2e-tests.ts

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// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
import assert from 'assert';
import { InferenceSession, Tensor } from 'onnxruntime-common';
import * as path from 'path';
import { assertDataEqual, TEST_DATA_ROOT } from '../test-utils';
const MODEL_TEST_TYPES_CASES: Array<{
model: string;
type: Tensor.Type;
input0: Tensor.DataType;
expectedOutput0: Tensor.DataType;
}> = [
{
model: path.join(TEST_DATA_ROOT, 'test_types_bool.onnx'),
type: 'bool',
input0: Uint8Array.from([1, 0, 0, 1, 0]),
expectedOutput0: Uint8Array.from([1, 0, 0, 1, 0]),
},
{
model: path.join(TEST_DATA_ROOT, 'test_types_double.onnx'),
type: 'float64',
input0: Float64Array.from([1.0, 2.0, 3.0, 4.0, 5.0]),
expectedOutput0: Float64Array.from([1.0, 2.0, 3.0, 4.0, 5.0]),
},
{
model: path.join(TEST_DATA_ROOT, 'test_types_float.onnx'),
type: 'float32',
input0: Float32Array.from([1.0, 2.0, 3.0, 4.0, 5.0]),
expectedOutput0: Float32Array.from([1.0, 2.0, 3.0, 4.0, 5.0]),
},
{
model: path.join(TEST_DATA_ROOT, 'test_types_int8.onnx'),
type: 'int8',
input0: Int8Array.from([1, -2, 3, 4, -5]),
expectedOutput0: Int8Array.from([1, -2, 3, 4, -5]),
},
{
model: path.join(TEST_DATA_ROOT, 'test_types_int16.onnx'),
type: 'int16',
input0: Int16Array.from([1, -2, 3, 4, -5]),
expectedOutput0: Int16Array.from([1, -2, 3, 4, -5]),
},
{
model: path.join(TEST_DATA_ROOT, 'test_types_int32.onnx'),
type: 'int32',
input0: Int32Array.from([1, -2, 3, 4, -5]),
expectedOutput0: Int32Array.from([1, -2, 3, 4, -5]),
},
{
model: path.join(TEST_DATA_ROOT, 'test_types_int64.onnx'),
type: 'int64',
input0: BigInt64Array.from([BigInt(1), BigInt(-2), BigInt(3), BigInt(4), BigInt(-5)]),
expectedOutput0: BigInt64Array.from([BigInt(1), BigInt(-2), BigInt(3), BigInt(4), BigInt(-5)]),
},
{
model: path.join(TEST_DATA_ROOT, 'test_types_string.onnx'),
type: 'string',
input0: ['a', 'b', 'c', 'd', 'e'],
expectedOutput0: ['a', 'b', 'c', 'd', 'e'],
},
{
model: path.join(TEST_DATA_ROOT, 'test_types_uint8.onnx'),
type: 'uint8',
input0: Uint8Array.from([1, 2, 3, 4, 5]),
expectedOutput0: Uint8Array.from([1, 2, 3, 4, 5]),
},
{
model: path.join(TEST_DATA_ROOT, 'test_types_uint16.onnx'),
type: 'uint16',
input0: Uint16Array.from([1, 2, 3, 4, 5]),
expectedOutput0: Uint16Array.from([1, 2, 3, 4, 5]),
},
{
model: path.join(TEST_DATA_ROOT, 'test_types_uint32.onnx'),
type: 'uint32',
input0: Uint32Array.from([1, 2, 3, 4, 5]),
expectedOutput0: Uint32Array.from([1, 2, 3, 4, 5]),
},
{
model: path.join(TEST_DATA_ROOT, 'test_types_uint64.onnx'),
type: 'uint64',
input0: BigUint64Array.from([BigInt(1), BigInt(2), BigInt(3), BigInt(4), BigInt(5)]),
expectedOutput0: BigUint64Array.from([BigInt(1), BigInt(2), BigInt(3), BigInt(4), BigInt(5)]),
},
];
describe('E2E Tests - simple E2E tests', () => {
MODEL_TEST_TYPES_CASES.forEach((testCase) => {
it(`${testCase.model}`, async () => {
const session = await InferenceSession.create(testCase.model);
const output = await session.run({ input: new Tensor(testCase.type, testCase.input0, [1, 5]) });
assert(Object.prototype.hasOwnProperty.call(output, 'output'), "'output' should be in the result object.");
assert(output.output instanceof Tensor, 'result[output] should be a Tensor object.');
assert.strictEqual(output.output.size, 5, `output size expected 5, got ${output.output.size}.`);
assert.strictEqual(
output.output.type,
testCase.type,
`tensor type expected ${testCase.type}, got ${output.output.type}.`,
);
assert.strictEqual(
Object.getPrototypeOf(output.output.data),
Object.getPrototypeOf(testCase.expectedOutput0),
`tensor data expected ${Object.getPrototypeOf(testCase.expectedOutput0).constructor.name}, got ${
Object.getPrototypeOf(output.output.data).constructor.name
}`,
);
assertDataEqual(testCase.type, output.output.data, testCase.expectedOutput0);
});
});
});