Function conv2dImpl

tfjs-node/src/kernels/Conv2D.ts:41–79

(
    x: TensorInfo, filter: TensorInfo, convInfo: backend_util.Conv2DInfo,
    backend: NodeJSKernelBackend)

};

export function conv2dImpl(
    x: TensorInfo, filter: TensorInfo, convInfo: backend_util.Conv2DInfo,
    backend: NodeJSKernelBackend): Tensor4D {
  if (convInfo.padInfo.type !== 'VALID' && convInfo.padInfo.type !== 'SAME' &&
      convInfo.padInfo.type !== 'EXPLICIT') {
    throw new Error(
        `TF Backend supports only 'valid' and 'same' padding ` +
        `while padding was ${convInfo.padInfo.type}`);
  }
  const strides = [1, convInfo.strideHeight, convInfo.strideWidth, 1];
  const padding = convInfo.padInfo.type;
  const dataFormat = convInfo.dataFormat === 'channelsLast' ? 'NHWC' : 'NCHW';
  const dilations = [1, convInfo.dilationHeight, convInfo.dilationWidth, 1];
  const opAttrs = [
    createTensorsTypeOpAttr('T', x.dtype),
    {name: 'strides', type: backend.binding.TF_ATTR_INT, value: strides},
    {name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding},
    {
      name: 'data_format',
      type: backend.binding.TF_ATTR_STRING,
      value: dataFormat
    },
    {name: 'use_cudnn_on_gpu', type: backend.binding.TF_ATTR_BOOL, value: true},
    {name: 'dilations', type: backend.binding.TF_ATTR_INT, value: dilations},
  ];
  if (padding === 'EXPLICIT') {
    const padValue = [
      convInfo.padInfo.top, convInfo.padInfo.bottom, convInfo.padInfo.left,
      convInfo.padInfo.right
    ];
    opAttrs.push({
      name: 'explicit_paddings',
      type: backend.binding.TF_ATTR_INT,
      value: dataFormat === 'NHWC' ? [0, 0, ...padValue, 0, 0] :
                                     [0, 0, 0, 0, ...padValue]
    });
  }
  return backend.executeSingleOutput(Conv2D, opAttrs, [x, filter]) as Tensor4D;
}