|
| 1 | + |
| 2 | +let et; |
| 3 | +beforeAll((done) => { |
| 4 | + et = require("./executorch_wasm_test_lib"); |
| 5 | + et.onRuntimeInitialized = () => { |
| 6 | + done(); |
| 7 | + } |
| 8 | +}); |
| 9 | + |
| 10 | +describe("Tensor", () => { |
| 11 | + test("ones", () => { |
| 12 | + const tensor = et.FloatTensor.ones([2, 2]); |
| 13 | + expect(tensor.getData()).toEqual([1, 1, 1, 1]); |
| 14 | + expect(tensor.getSizes()).toEqual([2, 2]); |
| 15 | + tensor.delete(); |
| 16 | + }); |
| 17 | + |
| 18 | + test("zeros", () => { |
| 19 | + const tensor = et.FloatTensor.zeros([2, 2]); |
| 20 | + expect(tensor.getData()).toEqual([0, 0, 0, 0]); |
| 21 | + expect(tensor.getSizes()).toEqual([2, 2]); |
| 22 | + tensor.delete(); |
| 23 | + }); |
| 24 | + |
| 25 | + test("fromArray", () => { |
| 26 | + const tensor = et.FloatTensor.fromArray([1, 2, 3, 4], [2, 2]); |
| 27 | + expect(tensor.getData()).toEqual([1, 2, 3, 4]); |
| 28 | + expect(tensor.getSizes()).toEqual([2, 2]); |
| 29 | + tensor.delete(); |
| 30 | + }); |
| 31 | + |
| 32 | + test("fromArray wrong size", () => { |
| 33 | + expect(() => et.FloatTensor.fromArray([1, 2, 3, 4], [3, 2])).toThrow(); |
| 34 | + }); |
| 35 | + |
| 36 | + test("full", () => { |
| 37 | + const tensor = et.FloatTensor.full([2, 2], 3); |
| 38 | + expect(tensor.getData()).toEqual([3, 3, 3, 3]); |
| 39 | + expect(tensor.getSizes()).toEqual([2, 2]); |
| 40 | + tensor.delete(); |
| 41 | + }); |
| 42 | +}); |
| 43 | + |
| 44 | +describe("Module", () => { |
| 45 | + test("getMethods has foward", () => { |
| 46 | + const module = et.Module.load("add.pte"); |
| 47 | + const methods = module.getMethods(); |
| 48 | + expect(methods).toEqual(["forward"]); |
| 49 | + module.delete(); |
| 50 | + }); |
| 51 | + |
| 52 | + test("loadMethod forward", () => { |
| 53 | + const module = et.Module.load("add.pte"); |
| 54 | + expect(() => module.loadMethod("forward")).not.toThrow(); |
| 55 | + module.delete(); |
| 56 | + }); |
| 57 | + |
| 58 | + test("loadMethod does not exist", () => { |
| 59 | + const module = et.Module.load("add.pte"); |
| 60 | + expect(() => module.loadMethod("does_not_exist")).toThrow(); |
| 61 | + module.delete(); |
| 62 | + }); |
| 63 | + |
| 64 | + describe("MethodMeta", () => { |
| 65 | + test("name is forward", () => { |
| 66 | + const module = et.Module.load("add_mul.pte"); |
| 67 | + const methodMeta = module.getMethodMeta("forward"); |
| 68 | + expect(methodMeta.name).toEqual("forward"); |
| 69 | + methodMeta.delete(); |
| 70 | + module.delete(); |
| 71 | + }); |
| 72 | + |
| 73 | + test("numInputs is 3", () => { |
| 74 | + const module = et.Module.load("add_mul.pte"); |
| 75 | + const methodMeta = module.getMethodMeta("forward"); |
| 76 | + expect(methodMeta.numInputs).toEqual(3); |
| 77 | + methodMeta.delete(); |
| 78 | + module.delete(); |
| 79 | + }); |
| 80 | + |
| 81 | + test("method does not exist", () => { |
| 82 | + const module = et.Module.load("add_mul.pte"); |
| 83 | + expect(() => module.getMethodMeta("does_not_exist")).toThrow(); |
| 84 | + module.delete(); |
| 85 | + }); |
| 86 | + |
| 87 | + describe("TensorInfo", () => { |
| 88 | + test("sizes is 2x2", () => { |
| 89 | + const module = et.Module.load("add_mul.pte"); |
| 90 | + const methodMeta = module.getMethodMeta("forward"); |
| 91 | + for (var i = 0; i < methodMeta.numInputs; i++) { |
| 92 | + const tensorInfo = methodMeta.inputTensorMeta(i); |
| 93 | + expect(tensorInfo.sizes).toEqual([2, 2]); |
| 94 | + tensorInfo.delete(); |
| 95 | + } |
| 96 | + methodMeta.delete(); |
| 97 | + module.delete(); |
| 98 | + }); |
| 99 | + |
| 100 | + test("out of range", () => { |
| 101 | + const module = et.Module.load("add_mul.pte"); |
| 102 | + const methodMeta = module.getMethodMeta("forward"); |
| 103 | + expect(() => methodMeta.inputTensorMeta(3)).toThrow(); |
| 104 | + methodMeta.delete(); |
| 105 | + module.delete(); |
| 106 | + }); |
| 107 | + }); |
| 108 | + }); |
| 109 | + |
| 110 | + describe("execute", () => { |
| 111 | + test("add normally", () => { |
| 112 | + const module = et.Module.load("add.pte"); |
| 113 | + const inputs = [et.FloatTensor.ones([1]), et.FloatTensor.ones([1])]; |
| 114 | + const output = module.execute("forward", inputs); |
| 115 | + |
| 116 | + expect(output.length).toEqual(1); |
| 117 | + expect(output[0].getData()).toEqual([2]); |
| 118 | + expect(output[0].getSizes()).toEqual([1]); |
| 119 | + |
| 120 | + inputs.forEach((input) => input.delete()); |
| 121 | + output.forEach((output) => output.delete()); |
| 122 | + module.delete(); |
| 123 | + }); |
| 124 | + |
| 125 | + test("add_mul normally", () => { |
| 126 | + const module = et.Module.load("add_mul.pte"); |
| 127 | + const inputs = [et.FloatTensor.ones([2, 2]), et.FloatTensor.ones([2, 2]), et.FloatTensor.ones([2, 2])]; |
| 128 | + const output = module.execute("forward", inputs); |
| 129 | + |
| 130 | + expect(output.length).toEqual(1); |
| 131 | + expect(output[0].getData()).toEqual([3, 3, 3, 3]); |
| 132 | + expect(output[0].getSizes()).toEqual([2, 2]); |
| 133 | + |
| 134 | + inputs.forEach((input) => input.delete()); |
| 135 | + output.forEach((output) => output.delete()); |
| 136 | + module.delete(); |
| 137 | + }); |
| 138 | + |
| 139 | + test("forward directly", () => { |
| 140 | + const module = et.Module.load("add_mul.pte"); |
| 141 | + const inputs = [et.FloatTensor.ones([2, 2]), et.FloatTensor.ones([2, 2]), et.FloatTensor.ones([2, 2])]; |
| 142 | + const output = module.forward(inputs); |
| 143 | + |
| 144 | + expect(output.length).toEqual(1); |
| 145 | + expect(output[0].getData()).toEqual([3, 3, 3, 3]); |
| 146 | + expect(output[0].getSizes()).toEqual([2, 2]); |
| 147 | + |
| 148 | + inputs.forEach((input) => input.delete()); |
| 149 | + output.forEach((output) => output.delete()); |
| 150 | + module.delete(); |
| 151 | + }); |
| 152 | + |
| 153 | + test("wrong number of inputs", () => { |
| 154 | + const module = et.Module.load("add_mul.pte"); |
| 155 | + const inputs = [et.FloatTensor.ones([2, 2]), et.FloatTensor.ones([2, 2])]; |
| 156 | + expect(() => module.execute("forward", inputs)).toThrow(); |
| 157 | + |
| 158 | + inputs.forEach((input) => input.delete()); |
| 159 | + module.delete(); |
| 160 | + }); |
| 161 | + |
| 162 | + test("wrong input size", () => { |
| 163 | + const module = et.Module.load("add.pte"); |
| 164 | + const inputs = [et.FloatTensor.ones([2, 1]), et.FloatTensor.ones([2, 1])]; |
| 165 | + expect(() => module.execute("forward", inputs)).toThrow(); |
| 166 | + |
| 167 | + inputs.forEach((input) => input.delete()); |
| 168 | + module.delete(); |
| 169 | + }); |
| 170 | + |
| 171 | + test("wrong input type", () => { |
| 172 | + const module = et.Module.load("add.pte"); |
| 173 | + const inputs = [et.FloatTensor.ones([1]), et.IntTensor.ones([1])]; |
| 174 | + expect(() => module.execute("forward", inputs)).toThrow(); |
| 175 | + |
| 176 | + inputs.forEach((input) => input.delete()); |
| 177 | + module.delete(); |
| 178 | + }); |
| 179 | + |
| 180 | + test("method does not exist", () => { |
| 181 | + const module = et.Module.load("add.pte"); |
| 182 | + const inputs = [et.FloatTensor.ones([1]), et.FloatTensor.ones([1])]; |
| 183 | + expect(() => module.execute("does_not_exist", inputs)).toThrow(); |
| 184 | + |
| 185 | + inputs.forEach((input) => input.delete()); |
| 186 | + module.delete(); |
| 187 | + }); |
| 188 | + |
| 189 | + test("output tensor can be reused", () => { |
| 190 | + const module = et.Module.load("add_mul.pte"); |
| 191 | + const inputs = [et.FloatTensor.ones([2, 2]), et.FloatTensor.ones([2, 2]), et.FloatTensor.ones([2, 2])]; |
| 192 | + const output = module.forward(inputs); |
| 193 | + |
| 194 | + expect(output.length).toEqual(1); |
| 195 | + expect(output[0].getData()).toEqual([3, 3, 3, 3]); |
| 196 | + expect(output[0].getSizes()).toEqual([2, 2]); |
| 197 | + |
| 198 | + const inputs2 = [output[0], output[0], output[0]]; |
| 199 | + const output2 = module.forward(inputs2); |
| 200 | + |
| 201 | + expect(output2.length).toEqual(1); |
| 202 | + expect(output2[0].getData()).toEqual([21, 21, 21, 21]); |
| 203 | + expect(output2[0].getSizes()).toEqual([2, 2]); |
| 204 | + |
| 205 | + inputs.forEach((input) => input.delete()); |
| 206 | + output.forEach((output) => output.delete()); |
| 207 | + output2.forEach((output) => output.delete()); |
| 208 | + module.delete(); |
| 209 | + }); |
| 210 | + }); |
| 211 | +}); |
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