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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2018-04-13 08:12:42 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-04-13 08:16:46 -0700
commit91c31997e6854a3d07acc76381cff7436df1c1dd (patch)
treeee4f38d890771de2f2144c718a6421673eb81caf /tensorflow/contrib/lite/kernels/depthwise_conv.cc
parentf9de043501e401af73aa02ab950864534f07c1df (diff)
Add support to TFLite for dilated convolution.
PiperOrigin-RevId: 192770919
Diffstat (limited to 'tensorflow/contrib/lite/kernels/depthwise_conv.cc')
-rw-r--r--tensorflow/contrib/lite/kernels/depthwise_conv.cc6
1 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/contrib/lite/kernels/depthwise_conv.cc b/tensorflow/contrib/lite/kernels/depthwise_conv.cc
index cad9ce114c..eeda1bc3c5 100644
--- a/tensorflow/contrib/lite/kernels/depthwise_conv.cc
+++ b/tensorflow/contrib/lite/kernels/depthwise_conv.cc
@@ -140,10 +140,10 @@ TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
int out_height =
compute_out_size(height, filter_height, params->stride_height);
- data->padding.height =
- ComputePadding(params->stride_height, height, filter_height, out_height);
+ data->padding.height = ComputePadding(params->stride_height, 1, height,
+ filter_height, out_height);
data->padding.width =
- ComputePadding(params->stride_width, width, filter_width, out_width);
+ ComputePadding(params->stride_width, 1, width, filter_width, out_width);
// Note that quantized inference requires that all tensors have their
// parameters set. This is usually done during quantized training.