TypeScript tfjs-core.conv2d函数代码示例

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本文整理汇总了TypeScript中@tensorflow/tfjs-core.conv2d函数的典型用法代码示例。如果您正苦于以下问题：TypeScript conv2d函数的具体用法？TypeScript conv2d怎么用？TypeScript conv2d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conv2d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(() => {

    let out = tf.conv2d(x, params.filters, strides, 'same')
    out = tf.add(out, params.batch_norm_offset)
    return tf.clipByValue(out, 0, 6)

  })

开发者ID:BakirDiyar，项目名称:face-api.js，代码行数:7，代码来源:pointwiseConvLayer.ts

示例2:

  return tf.tidy(() => {
    const out = tf.add(
      tf.conv2d(x, params.filters, [1, 1], padding),
      params.bias
    ) as tf.Tensor4D

    return withRelu ? tf.relu(out) : out
  })

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

示例3: convLayer

function convLayer(
  x: tf.Tensor4D,
  params: ConvLayerParams,
  strides: [number, number],
  withRelu: boolean,
  padding: 'valid' | 'same' = 'same'
): tf.Tensor4D {
  const { filters, bias } = params.conv

  let out = tf.conv2d(x, filters, strides, padding)
  out = tf.add(out, bias)
  out = scale(out, params.scale)
  return withRelu ? tf.relu(out) : out
}

开发者ID:BakirDiyar，项目名称:face-api.js，代码行数:14，代码来源:convLayer.ts

示例4: switch

    (node: Node, tensorMap: NamedTensorsMap,
     context: ExecutionContext): tfc.Tensor[] => {
      switch (node.op) {
        case 'conv1d': {
          const stride =
              getParamValue('stride', node, tensorMap, context) as number;
          const pad = getParamValue('pad', node, tensorMap, context);
          const dataFormat =
              (getParamValue('dataFormat', node, tensorMap, context) as string)
                  .toUpperCase();
          const dilation =
              getParamValue('dilation', node, tensorMap, context) as number;
          return [tfc.conv1d(
              getParamValue('x', node, tensorMap, context) as tfc.Tensor3D,
              getParamValue('filter', node, tensorMap, context) as tfc.Tensor3D,
              stride, pad as 'valid' | 'same', dataFormat as 'NWC' | 'NCW',
              dilation)];
        }
        case 'conv2d': {
          const stride =
              getParamValue('strides', node, tensorMap, context) as number[];
          const pad = getParamValue('pad', node, tensorMap, context);
          const dataFormat =
              (getParamValue('dataFormat', node, tensorMap, context) as string)
                  .toUpperCase();
          const dilations =
              getParamValue('dilations', node, tensorMap, context) as number[];
          return [tfc.conv2d(
              getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |
                  tfc.Tensor4D,
              getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,
              [stride[1], stride[2]], pad as 'valid' | 'same',
              dataFormat as 'NHWC' | 'NCHW', [dilations[0], dilations[1]])];
        }
        case 'conv2dTranspose': {
          const shape = getParamValue(
                            'outputShape', node, tensorMap,
                            context) as [number, number, number] |
              [number, number, number, number];
          const stride =
              getParamValue('strides', node, tensorMap, context) as number[];
          const pad = getParamValue('pad', node, tensorMap, context);
          return [tfc.conv2dTranspose(
              getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |
                  tfc.Tensor4D,
              getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,
              shape, [stride[1], stride[2]], pad as 'valid' | 'same')];
        }
        case 'depthwiseConv2d': {
          const stride =
              getParamValue('strides', node, tensorMap, context) as number[];
          const pad = getParamValue('pad', node, tensorMap, context);
          const dilations =
              getParamValue('dilations', node, tensorMap, context) as number[];
          const dataFormat =
              (getParamValue('dataFormat', node, tensorMap, context) as string)
                  .toUpperCase();

          return [tfc.depthwiseConv2d(
              getParamValue('input', node, tensorMap, context) as tfc.Tensor3D |
                  tfc.Tensor4D,
              getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,
              [stride[1], stride[2]], pad as 'valid' | 'same',
              dataFormat as 'NHWC' | 'NCHW', [dilations[0], dilations[1]])];
        }

        case 'avgPool': {
          const stride =
              getParamValue('strides', node, tensorMap, context) as number[];
          const pad = getParamValue('pad', node, tensorMap, context);
          const kernelSize =
              getParamValue('kernelSize', node, tensorMap, context) as number[];

          return [tfc.avgPool(
              getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |
                  tfc.Tensor4D,
              [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],
              pad as 'valid' | 'same')];
        }

        case 'maxPool': {
          const stride =
              getParamValue('strides', node, tensorMap, context) as number[];
          const pad = getParamValue('pad', node, tensorMap, context);
          const kernelSize =
              getParamValue('kernelSize', node, tensorMap, context) as number[];

          return [tfc.maxPool(
              getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |
                  tfc.Tensor4D,
              [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],
              pad as 'valid' | 'same')];
        }
        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:97，代码来源:convolution_executor.ts

注：本文中的@tensorflow/tfjs-core.conv2d函数示例由纯净天空整理自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。