A Tensor of type int32.
An integer vector representing the shape of input, based
on data_format. For example, if data_format is 'NHWC' then
input is a 4-D [batch, height, width, channels] tensor.
filter
A Tensor. Must be one of the following types: half, bfloat16, float32, float64.
4-D with shape
[filter_height, filter_width, in_channels, depthwise_multiplier].
out_backprop
A Tensor. Must have the same type as filter.
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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06 UTC."],[],[]]