testEqTensor() — pytorch Function Reference

Architecture documentation for the testEqTensor() function in PytorchTestBase.java from the pytorch codebase.

Function java CoreTensor Dispatcher calls 1

Entity Profile

CoreTensor→ Dispatcher→ testEqTensor() — pytorch Function Reference

Dependency Diagram

graph TD
  24196e64_292f_1647_f6b2_3097f27373f2["testEqTensor()"]
  9f728842_eeeb_dcbf_a87a_1decf4b380f8["loadModel()"]
  24196e64_292f_1647_f6b2_3097f27373f2 -->|calls| 9f728842_eeeb_dcbf_a87a_1decf4b380f8
  style 24196e64_292f_1647_f6b2_3097f27373f2 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

android/pytorch_android/src/androidTest/java/org/pytorch/PytorchTestBase.java lines 80–103

  @Test
  public void testEqTensor() throws IOException {
    final long[] inputTensorShape = new long[] {1, 3, 224, 224};
    final long numElements = Tensor.numel(inputTensorShape);
    final float[] inputTensorData = new float[(int) numElements];
    for (int i = 0; i < numElements; ++i) {
      inputTensorData[i] = i;
    }
    final Tensor inputTensor = Tensor.fromBlob(inputTensorData, inputTensorShape);

    final Module module = loadModel(TEST_MODULE_ASSET_NAME);
    final IValue input = IValue.from(inputTensor);
    assertTrue(input.isTensor());
    assertTrue(inputTensor == input.toTensor());
    final IValue output = module.runMethod("eqTensor", input);
    assertTrue(output.isTensor());
    final Tensor outputTensor = output.toTensor();
    assertNotNull(outputTensor);
    assertArrayEquals(inputTensorShape, outputTensor.shape());
    float[] outputData = outputTensor.getDataAsFloatArray();
    for (int i = 0; i < numElements; i++) {
      assertTrue(inputTensorData[i] == outputData[i]);
    }
  }