Function transform

tfjs-backend-wasm/src/kernels/Transform.ts:52–108

(
    args:
        {backend: BackendWasm, inputs: TransformInputs, attrs: TransformAttrs})

}

function transform(
    args:
        {backend: BackendWasm, inputs: TransformInputs, attrs: TransformAttrs}):
    TensorInfo {
  const {backend, inputs, attrs} = args;
  const {image, transforms} = inputs;
  const {interpolation, fillMode, fillValue, outputShape} = attrs;

  const [batch, imageHeight, imageWidth, numChannels] = image.shape;
  const [outHeight, outWidth] =
      outputShape != null ? outputShape : [imageHeight, imageWidth];
  const outShape =
      [batch, outHeight, outWidth,
       numChannels] as [number, number, number, number];
  const inputStrides =
      new Uint8Array(new Int32Array(util.computeStrides(image.shape)).buffer);

  const outputStrides =
      new Uint8Array(new Int32Array(util.computeStrides(outShape)).buffer);

  const out = backend.makeOutput(outShape, image.dtype);
  const outId = backend.dataIdMap.get(out.dataId).id;

  const imageData = backend.dataIdMap.get(image.dataId);
  const imageId = imageData.id;

  const transformsData = backend.dataIdMap.get(transforms.dataId);
  const transformsId = transformsData.id;

  const interpolationModeId = interpolation === 'nearest' ? 1 : 2;
  let fillModeId;
  switch (fillMode) {
    case 'constant':
      fillModeId = 1;
      break;
    case 'reflect':
      fillModeId = 2;
      break;
    case 'wrap':
      fillModeId = 3;
      break;
    case 'nearest':
      fillModeId = 4;
      break;
    default:
      fillModeId = 1;
      break;
  }

  wasmTransform(
      imageId, transformsId, (transforms.shape[0] > 1), batch, outHeight,
      outWidth, numChannels, imageWidth, imageHeight, inputStrides,
      image.shape.length - 1, outputStrides, outShape.length - 1,
      interpolationModeId, fillModeId, fillValue, outId);

  return out;
}