Computes the gradients of depthwise convolution with respect to the filter.

tf.raw_ops.DepthwiseConv2dNativeBackpropFilter( input, filter_sizes, out_backprop, strides, padding, explicit_paddings=[], data_format='NHWC', dilations=[1, 1, 1, 1], name=None )

Args | |
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`input` | A `Tensor` . Must be one of the following types: `half` , `bfloat16` , `float32` , `float64` . 4-D with shape based on `data_format` . For example, if `data_format` is 'NHWC' then `input` is a 4-D `[batch, in_height, in_width, in_channels]` tensor. |

`filter_sizes` | A `Tensor` of type `int32` . An integer vector representing the tensor shape of `filter` , where `filter` is a 4-D `[filter_height, filter_width, in_channels, depthwise_multiplier]` tensor. |

`out_backprop` | A `Tensor` . Must have the same type as `input` . 4-D with shape based on `data_format` . For example, if `data_format` is 'NHWC' then out_backprop shape is `[batch, out_height, out_width, out_channels]` . Gradients w.r.t. the output of the convolution. |

`strides` | A list of `ints` . The stride of the sliding window for each dimension of the input of the convolution. |

`padding` | A `string` from: `"SAME", "VALID", "EXPLICIT"` . The type of padding algorithm to use. |

`explicit_paddings` | An optional list of `ints` . Defaults to `[]` . |

`data_format` | An optional `string` from: `"NHWC", "NCHW"` . Defaults to `"NHWC"` . 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]. |

`dilations` | An optional list of `ints` . Defaults to `[1, 1, 1, 1]` . 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. |

`name` | A name for the operation (optional). |

Returns | |
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A `Tensor` . Has the same type as `input` . |

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Licensed under the Creative Commons Attribution License 3.0.

Code samples licensed under the Apache 2.0 License.

https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/DepthwiseConv2dNativeBackpropFilter