TypeScript tfjs-core.div函数代码示例

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本文整理汇总了TypeScript中@tensorflow/tfjs-core.div函数的典型用法代码示例。如果您正苦于以下问题：TypeScript div函数的具体用法？TypeScript div怎么用？TypeScript div使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。

在下文中一共展示了div函数的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的TypeScript代码示例。

示例1:

  return tf.tidy(() => {
    const avg_r = tf.fill([1, 150, 150, 1], 122.782);
    const avg_g = tf.fill([1, 150, 150, 1], 117.001);
    const avg_b = tf.fill([1, 150, 150, 1], 104.298);
    const avg_rgb = tf.concat([avg_r, avg_g, avg_b], 3)

    return tf.div(tf.sub(x, avg_rgb), tf.scalar(256))
  })

开发者ID:BakirDiyar，项目名称:face-api.js，代码行数:8，代码来源:normalize.ts

示例2: getCenterCoordinatesAndSizesLayer

function getCenterCoordinatesAndSizesLayer(x: tf.Tensor2D) {
  const vec = tf.unstack(tf.transpose(x, [1, 0]))

  const sizes = [
    tf.sub(vec[2], vec[0]),
    tf.sub(vec[3], vec[1])
  ]

  const centers = [
    tf.add(vec[0], tf.div(sizes[0], tf.scalar(2))),
    tf.add(vec[1], tf.div(sizes[1], tf.scalar(2)))
  ]

  return {
    sizes,
    centers
  }
}

开发者ID:BakirDiyar，项目名称:face-api.js，代码行数:18，代码来源:outputLayer.ts

示例3: decodeBoxesLayer

function decodeBoxesLayer(x0: tf.Tensor2D, x1: tf.Tensor2D) {
  const {
    sizes,
    centers
  } = getCenterCoordinatesAndSizesLayer(x0)

  const vec = tf.unstack(tf.transpose(x1, [1, 0]))

  const div0_out = tf.div(tf.mul(tf.exp(tf.div(vec[2], tf.scalar(5))), sizes[0]), tf.scalar(2))
  const add0_out = tf.add(tf.mul(tf.div(vec[0], tf.scalar(10)), sizes[0]), centers[0])

  const div1_out = tf.div(tf.mul(tf.exp(tf.div(vec[3], tf.scalar(5))), sizes[1]), tf.scalar(2))
  const add1_out = tf.add(tf.mul(tf.div(vec[1], tf.scalar(10)), sizes[1]), centers[1])

  return tf.transpose(
    tf.stack([
      tf.sub(add0_out, div0_out),
      tf.sub(add1_out, div1_out),
      tf.add(add0_out, div0_out),
      tf.add(add1_out, div1_out)
    ]),
    [1, 0]
  )
}

开发者ID:BakirDiyar，项目名称:face-api.js，代码行数:24，代码来源:outputLayer.ts

示例4: switch


//.........这里部分代码省略.........
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    case 'atanh':
      return [tfc.atanh(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    case 'ceil':
      return [tfc.ceil(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    case 'cos':
      return [tfc.cos(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    case 'cosh':
      return [tfc.cosh(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    case 'elu':
      return [tfc.elu(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    case 'erf':
      return [tfc.erf(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    case 'exp':
      return [tfc.exp(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    case 'expm1': {
      return [tfc.expm1(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    }
    case 'floor':
      return [tfc.floor(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    case 'log':
      return [tfc.log(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    case 'log1p': {
      return [tfc.log1p(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    }
    case 'neg':
      return [tfc.neg(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    case 'reciprocal': {
      return [tfc.reciprocal(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    }
    case 'relu':
      return [tfc.relu(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    case 'round': {
      return [tfc.round(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    }
    case 'selu':
      return [tfc.selu(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    case 'sigmoid':
      return [tfc.sigmoid(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    case 'sin':
      return [tfc.sin(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    case 'sign': {
      return [tfc.sign(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    }
    case 'sinh': {
      return [tfc.sinh(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    }
    case 'softplus': {
      return [tfc.softplus(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    }
    case 'sqrt': {
      return [tfc.sqrt(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    }
    case 'square': {
      return [tfc.square(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    }
    case 'tanh': {
      return [tfc.tanh(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    }
    case 'tan':
      return [tfc.tan(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
    case 'clipByValue':
      return [tfc.clipByValue(
          getParamValue('x', node, tensorMap, context) as tfc.Tensor,
          getParamValue('clipValueMin', node, tensorMap, context) as number,
          getParamValue('clipValueMax', node, tensorMap, context) as number)];
    case 'rsqrt':
      return [tfc.div(
          tfc.scalar(1.0, 'float32'),
          tfc.sqrt(getTensor(node.inputNames[0], tensorMap, context)))];

    default:
      throw TypeError(`Node type ${node.op} is not implemented`);
  }
};

开发者ID:oveddan，项目名称:tfjs-converter，代码行数:101，代码来源:basic_math_executor.ts

注：本文中的@tensorflow/tfjs-core.div函数示例整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。