| /external/tensorflow/tensorflow/stream_executor/ |
| dnn.cc | 439 string dilations; local
443 port::Appendf(&dilations, "%lld ", dilation_rates_[i]);
450 strides.c_str(), dilations.c_str());
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| dnn.h | 572 std::vector<int64> dilations() const { return dilation_rates_; } function in class:perftools::gputools::dnn::ConvolutionDescriptor
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| /external/tensorflow/tensorflow/core/kernels/ |
| quantized_conv_ops.cc | 466 std::vector<int32> dilations; local
467 OP_REQUIRES_OK(context, context->GetAttr("dilations", &dilations));
468 OP_REQUIRES(context, dilations.size() == 4,
469 errors::InvalidArgument("Dilations field must "
471 OP_REQUIRES(context, dilations[1] == 1 && dilations[2] == 1,
475 OP_REQUIRES(context, (dilations[0] == 1 && dilations[3] == 1),
478 "dilations in the batch and depth dimensions."))
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| /external/opencv/cv/src/ |
| cvcalibinit.cpp | 229 int quad_count = 0, group_idx = 0, i = 0, dilations = 0; local
272 // Try our standard "1" dilation, but if the pattern is not found, iterate the whole procedure with higher dilations.
274 // we want to use the minimum number of dilations possible since dilations cause the squares to become smaller,
278 for( dilations = min_dilations; dilations <= max_dilations; dilations++ )
287 CV_CALL( quad_count = icvGenerateQuadsEx( &quads, &corners, storage, img, thresh_img, dilations, flags ));
300 if (dilations > 0)
301 cvDilate( thresh_img, thresh_img, 0, dilations-1 )
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| /external/tensorflow/tensorflow/core/framework/ |
| common_shape_fns.cc | 105 const std::array<int64, 3>& dilations,
111 input[i], window[i], dilations[i], strides[i], padding_type,
404 std::vector<int32> dilations; local
405 TF_RETURN_IF_ERROR(c->GetAttr("dilations", &dilations));
407 if (dilations.size() != 4) {
410 dilations.size());
426 const int32 dilation_rows = GetTensorDim(dilations, data_format, 'H');
427 const int32 dilation_cols = GetTensorDim(dilations, data_format, 'W');
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