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tensorflow::ops::DepthwiseConv2dNative::Attrs
#include <nn_ops.h>
Optional attribute setters for DepthwiseConv2dNative.
Summary
Public functions
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DataFormat(StringPiece x)
|
Specify the data format of the input and output data.
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Dilations(const gtl::ArraySlice< int > & x)
|
1-D tensor of length 4.
|
ExplicitPaddings(const gtl::ArraySlice< int > & x)
|
Defaults to [].
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Public attributes
StringPiece tensorflow::ops::DepthwiseConv2dNative::Attrs::data_format_ = "NHWC"
dilations_
gtl::ArraySlice< int > tensorflow::ops::DepthwiseConv2dNative::Attrs::dilations_ = Default_dilations()
explicit_paddings_
gtl::ArraySlice< int > tensorflow::ops::DepthwiseConv2dNative::Attrs::explicit_paddings_ = {}
Public functions
TF_MUST_USE_RESULT Attrs tensorflow::ops::DepthwiseConv2dNative::Attrs::DataFormat(
StringPiece x
)
Specify the data format of the input and output data.
With the default format "NHWC", the data is stored in the order of: [batch, height, width, channels]. Alternatively, the format could be "NCHW", the data storage order of: [batch, channels, height, width].
Defaults to "NHWC"
Dilations
TF_MUST_USE_RESULT Attrs tensorflow::ops::DepthwiseConv2dNative::Attrs::Dilations(
const gtl::ArraySlice< int > & x
)
1-D tensor of length 4.
The dilation factor for each dimension of input. If set to k > 1, there will be k-1 skipped cells between each filter element on that dimension. The dimension order is determined by the value of data_format, see above for details. Dilations in the batch and depth dimensions must be 1.
Defaults to [1, 1, 1, 1]
ExplicitPaddings
TF_MUST_USE_RESULT Attrs tensorflow::ops::DepthwiseConv2dNative::Attrs::ExplicitPaddings(
const gtl::ArraySlice< int > & x
)
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Last updated 2021-11-15 UTC.
[null,null,["Last updated 2021-11-15 UTC."],[],[],null,["# tensorflow::ops::DepthwiseConv2dNative::Attrs Struct Reference\n\ntensorflow::ops::DepthwiseConv2dNative::Attrs\n=============================================\n\n`#include \u003cnn_ops.h\u003e`\n\nOptional attribute setters for [DepthwiseConv2dNative](/api_docs/cc/class/tensorflow/ops/depthwise-conv2d-native#classtensorflow_1_1ops_1_1_depthwise_conv2d_native).\n\nSummary\n-------\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------------------------------------------------------|--------------------------|\n| [data_format_](#structtensorflow_1_1ops_1_1_depthwise_conv2d_native_1_1_attrs_1a0d029aaf29f51127d2da6466b8103ead)` = \"NHWC\"` | `StringPiece` |\n| [dilations_](#structtensorflow_1_1ops_1_1_depthwise_conv2d_native_1_1_attrs_1a4e35a2333d2bb5228f4251202d78c0e1)` = Default_dilations()` | `gtl::ArraySlice\u003c int \u003e` |\n| [explicit_paddings_](#structtensorflow_1_1ops_1_1_depthwise_conv2d_native_1_1_attrs_1a755122176f87796e4d88cc5eb4b0267a)` = {}` | `gtl::ArraySlice\u003c int \u003e` |\n\n| ### Public functions ||\n|-----------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [DataFormat](#structtensorflow_1_1ops_1_1_depthwise_conv2d_native_1_1_attrs_1a447e7c3e583e72979fb2ec601f68db73)`(StringPiece x)` | `TF_MUST_USE_RESULT `[Attrs](/api_docs/cc/struct/tensorflow/ops/depthwise-conv2d-native/attrs#structtensorflow_1_1ops_1_1_depthwise_conv2d_native_1_1_attrs) Specify the data format of the input and output data. |\n| [Dilations](#structtensorflow_1_1ops_1_1_depthwise_conv2d_native_1_1_attrs_1aa73e4b11fe5a09060f449fcc49c63ba8)`(const gtl::ArraySlice\u003c int \u003e & x)` | `TF_MUST_USE_RESULT `[Attrs](/api_docs/cc/struct/tensorflow/ops/depthwise-conv2d-native/attrs#structtensorflow_1_1ops_1_1_depthwise_conv2d_native_1_1_attrs) 1-D tensor of length 4. |\n| [ExplicitPaddings](#structtensorflow_1_1ops_1_1_depthwise_conv2d_native_1_1_attrs_1a74bc8bd5a5f6750f0aee226d1ba431ad)`(const gtl::ArraySlice\u003c int \u003e & x)` | `TF_MUST_USE_RESULT `[Attrs](/api_docs/cc/struct/tensorflow/ops/depthwise-conv2d-native/attrs#structtensorflow_1_1ops_1_1_depthwise_conv2d_native_1_1_attrs) Defaults to \\[\\]. |\n\nPublic attributes\n-----------------\n\n### data_format_\n\n```scdoc\nStringPiece tensorflow::ops::DepthwiseConv2dNative::Attrs::data_format_ = \"NHWC\"\n``` \n\n### dilations_\n\n```scdoc\ngtl::ArraySlice\u003c int \u003e tensorflow::ops::DepthwiseConv2dNative::Attrs::dilations_ = Default_dilations()\n``` \n\n### explicit_paddings_\n\n```scdoc\ngtl::ArraySlice\u003c int \u003e tensorflow::ops::DepthwiseConv2dNative::Attrs::explicit_paddings_ = {}\n``` \n\nPublic functions\n----------------\n\n### DataFormat\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::DepthwiseConv2dNative::Attrs::DataFormat(\n StringPiece x\n)\n``` \nSpecify the data format of the input and output data.\n\nWith the default format \"NHWC\", the data is stored in the order of: \\[batch, height, width, channels\\]. Alternatively, the format could be \"NCHW\", the data storage order of: \\[batch, channels, height, width\\].\n\nDefaults to \"NHWC\" \n\n### Dilations\n\n```gdscript\nTF_MUST_USE_RESULT Attrs tensorflow::ops::DepthwiseConv2dNative::Attrs::Dilations(\n const gtl::ArraySlice\u003c int \u003e & x\n)\n``` \n1-D tensor of length 4.\n\nThe dilation factor for each dimension of `input`. If set to k \\\u003e 1, there will be k-1 skipped cells between each filter element on that dimension. The dimension order is determined by the value of `data_format`, see above for details. Dilations in the batch and depth dimensions must be 1.\n\nDefaults to \\[1, 1, 1, 1\\] \n\n### ExplicitPaddings\n\n```gdscript\nTF_MUST_USE_RESULT Attrs tensorflow::ops::DepthwiseConv2dNative::Attrs::ExplicitPaddings(\n const gtl::ArraySlice\u003c int \u003e & x\n)\n``` \nDefaults to \\[\\]."]]
