Computes a 2-D depthwise convolution given 4-D `input` and `filter` tensors.
Given an input tensor of shape `[batch, in_height, in_width, in_channels]` and a filter / kernel tensor of shape `[filter_height, filter_width, in_channels, channel_multiplier]`, containing `in_channels` convolutional filters of depth 1, `depthwise_conv2d` applies a different filter to each input channel (expanding from 1 channel to `channel_multiplier` channels for each), then concatenates the results together. Thus, the output has `in_channels * channel_multiplier` channels.
for k in 0..in_channels-1
for q in 0..channel_multiplier-1
output[b, i, j, k * channel_multiplier + q] =
sum_{di, dj
input[b, strides[1] * i + di, strides[2] * j + dj, k] *
filter[di, dj, k, q]
}
Nested Classes
class | DepthwiseConv2dNative.Options | Optional attributes for DepthwiseConv2dNative
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Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<T> |
asOutput()
Returns the symbolic handle of the tensor.
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static <T extends TNumber> DepthwiseConv2dNative<T> |
create(Scope scope, Operand<T> input, Operand<T> filter, List<Long> strides, String padding, Options... options)
Factory method to create a class wrapping a new DepthwiseConv2dNative operation.
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static DepthwiseConv2dNative.Options |
dataFormat(String dataFormat)
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static DepthwiseConv2dNative.Options |
dilations(List<Long> dilations)
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static DepthwiseConv2dNative.Options |
explicitPaddings(List<Long> explicitPaddings)
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Output<T> |
output()
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<T> asOutput ()
Returns the symbolic handle of the tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static DepthwiseConv2dNative<T> create (Scope scope, Operand<T> input, Operand<T> filter, List<Long> strides, String padding, Options... options)
Factory method to create a class wrapping a new DepthwiseConv2dNative operation.
Parameters
scope | current scope |
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strides | 1-D of length 4. The stride of the sliding window for each dimension of `input`. |
padding | The type of padding algorithm to use. |
options | carries optional attributes values |
Returns
- a new instance of DepthwiseConv2dNative
public static DepthwiseConv2dNative.Options dataFormat (String dataFormat)
Parameters
dataFormat | 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]. |
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public static DepthwiseConv2dNative.Options dilations (List<Long> dilations)
Parameters
dilations | 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. |
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