| /dports/devel/tinygo/tinygo-0.14.1/llvm-project/polly/lib/External/isl/ |
| H A D | isl_farkas.c | 120 isl_space *dim_param; in isl_space_coefficients() local
126 dim_param = isl_space_copy(dim); in isl_space_coefficients()
127 dim_param = isl_space_drop_dims(dim_param, isl_dim_set, 0, nvar); in isl_space_coefficients()
128 dim_param = isl_space_move_dims(dim_param, isl_dim_set, 0, in isl_space_coefficients()
130 dim_param = isl_space_prefix(dim_param, "c_"); in isl_space_coefficients()
131 dim_param = isl_space_insert_dims(dim_param, isl_dim_set, 0, 1); in isl_space_coefficients()
132 dim_param = isl_space_set_dim_name(dim_param, isl_dim_set, 0, "c_cst"); in isl_space_coefficients()
135 dim = isl_space_join(isl_space_from_domain(dim_param), in isl_space_coefficients()
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| H A D | isl_bernstein.c | 250 isl_space *dim_param; in bernstein_coefficients_cell() local
275 dim_param = isl_basic_set_get_space(cell->dom); in bernstein_coefficients_cell()
290 isl_space_copy(dim_param)); in bernstein_coefficients_cell()
308 data->fold = isl_qpolynomial_fold_empty(data->type, isl_space_copy(dim_param)); in bernstein_coefficients_cell()
309 data->fold_tight = isl_qpolynomial_fold_empty(data->type, dim_param); in bernstein_coefficients_cell()
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| /dports/misc/py-onnx/onnx-1.10.2/onnx/tools/ |
| H A D | update_model_dims.py | 47 dim_param_set.add(dim.dim_param) # type: ignore
66 dim_proto.dim_param = generated_dim_param
68 dim_proto.dim_param = dim
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| /dports/misc/glow/glow-f24d960e3cc80db95ac0bc17b1900dbf60ca044a/tests/models/onnxModels/ |
| H A D | dimParam.onnxtxt | 17 dim_param: "ONNXUndefinedSymbol"
33 dim_param: "ONNXUndefinedSymbol"
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| /dports/misc/py-onnx/onnx-1.10.2/onnx/defs/ |
| H A D | shape_inference.cc | 29 if (target_dim.has_dim_param() && target_dim.dim_param() == source_dim.dim_param()) { in UnionShapeInfo()
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| H A D | data_propagators.h | 13 tsp.mutable_dim()->Add()->set_dim_param(dim.dim_param()); in appendDimToTensorShapeProto()
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| H A D | shape_inference.h | 699 } else if (dim_i_j.dim_param() != symbolic_dim.dim_param()) { in multidirectionalBroadcastShapeInference()
766 target_dim.set_dim_param(source_dim.dim_param()); in mergeInDimensionInfo()
927 target_dim.set_dim_param(source_dim.dim_param()); in unifyDim()
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| H A D | printer.cc | 25 os << dim.dim_param(); in operator <<()
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| /dports/graphics/colmap/colmap-3.6/lib/FLANN/algorithms/ |
| H A D | kdtree_cuda_3d_index.h | 95 int dim_param = get_param(params,"dim",-1); in BaseClass() local
96 if (dim_param>0) dim_ = dim_param; in BaseClass()
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| /dports/math/flann/flann-1.9.1-29-g1d04523/src/cpp/flann/algorithms/ |
| H A D | kdtree_cuda_3d_index.h | 95 int dim_param = get_param(params,"dim",-1); in BaseClass() local
96 if (dim_param>0) dim_ = dim_param; in BaseClass()
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| /dports/misc/openmvg/openMVG-2.0/src/third_party/flann/src/cpp/flann/algorithms/ |
| H A D | kdtree_cuda_3d_index.h | 95 int dim_param = get_param(params,"dim",-1); in BaseClass() local
96 if (dim_param>0) dim_ = dim_param; in BaseClass()
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| /dports/misc/py-onnx/onnx-1.10.2/onnx/test/cpp/ |
| H A D | shape_inference_test.cc | 74 << ", Param:" << (z ? x.dim_param() : "<unset>") << "\n"; in Dump()
329 EXPECT_TRUE(shape.dim(0).dim_param() == "B"); in TEST()
346 EXPECT_TRUE(shape.dim(0).dim_param() == "B"); in TEST()
540 … : inferredShape.dim(i).dim_param() == expectedShape.dim(i).dim_param()); in RunReshapeShapeInfTest()
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| H A D | data_propagation_test.cc | 35 …checkSameParam ? inferredShape.dim(i).dim_param() == expectedShape.dim(i).dim_para… in CompareShape()
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| H A D | parser_test.cc | 47 EXPECT_EQ(type.tensor_type().shape().dim(0).dim_param(), "N"); in TEST()
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| /dports/misc/glow/glow-f24d960e3cc80db95ac0bc17b1900dbf60ca044a/thirdparty/onnx/onnx/defs/tensor/ |
| H A D | defs.cc | 176 const auto& dim_param = in __anon493632d60202() local
177 dataInputTensorType.shape().dim(i).dim_param(); in __anon493632d60202()
178 new_dim->set_dim_param(dim_param); in __anon493632d60202()
619 output_dim->set_dim_param(input_dim.dim_param()); in __anon493632d60702()
1629 dim->set_dim_param(indices_shape.dim(i).dim_param()); in __anon493632d61502()
1635 dim->set_dim_param(indices_shape.dim(i - 1).dim_param()); in __anon493632d61502()
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| /dports/misc/py-onnx/onnx-1.10.2/onnx/defs/tensor/ |
| H A D | old.cc | 198 const auto& dim_param = in __anon151c70ac0202() local
199 dataInputTensorType.shape().dim(i).dim_param(); in __anon151c70ac0202()
200 new_dim->set_dim_param(dim_param); in __anon151c70ac0202()
337 const auto& dim_param = in __anon151c70ac0302() local
338 dataInputTensorType.shape().dim(i).dim_param(); in __anon151c70ac0302()
339 new_dim->set_dim_param(dim_param); in __anon151c70ac0302()
891 output_dim->set_dim_param(input_dim.dim_param()); in __anon151c70ac0a02()
3202 output_dim->set_dim_param(input_dim.dim_param()); in __anon151c70ac2402()
3777 dim->set_dim_param(indices_shape.dim(i).dim_param()); in __anon151c70ac2c02()
3783 dim->set_dim_param(indices_shape.dim(i - 1).dim_param()); in __anon151c70ac2c02()
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| H A D | defs.cc | 289 new_dim->set_dim_param(targetShapeProto.dim(i).dim_param()); in __anon59def38f0502()
326 new_dim->set_dim_param(dataInputTensorType.shape().dim(i).dim_param()); in __anon59def38f0502()
991 output_dim->set_dim_param(input_dim.dim_param()); in __anon59def38f0e02()
2748 dim->set_dim_param(indices_shape.dim(i).dim_param()); in __anon59def38f2402()
2754 dim->set_dim_param(indices_shape.dim(i - 1).dim_param()); in __anon59def38f2402()
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| /dports/misc/glow/glow-f24d960e3cc80db95ac0bc17b1900dbf60ca044a/thirdparty/onnx/onnx/defs/ |
| H A D | shape_inference.h | 470 } else if (dim_i_j.dim_param() != symbolic_dim.dim_param()) { in multidirectionalBroadcastShapeInference()
535 target_dim.set_dim_param(source_dim.dim_param()); in mergeInDimensionInfo()
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| /dports/misc/glow/glow-f24d960e3cc80db95ac0bc17b1900dbf60ca044a/thirdparty/onnx/onnx/test/cpp/ |
| H A D | shape_inference_test.cc | 66 << ", Param:" << (z ? x.dim_param() : "<unset>") << "\n"; in Dump()
228 EXPECT_TRUE(shape.dim(0).dim_param() == "B"); in TEST()
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| /dports/graphics/opencv/opencv-4.5.3/modules/flann/include/opencv2/flann/ |
| H A D | kdtree_single_index.h | 91 int dim_param = get_param(params,"dim",-1); in dataset_() local
92 if (dim_param>0) dim_ = dim_param; in dataset_()
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| /dports/misc/py-onnx-tf/onnx-tf-1.6.0/onnx_tf/handlers/backend/ |
| H A D | scan_mixin.py | 93 d.dim_value if (d.dim_value > 0 and d.dim_param == "") else None
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| /dports/misc/py-onnx-tf/onnx-tf-1.6.0/onnx_tf/ |
| H A D | backend.py | 118 d.dim_value if (d.dim_value > 0 and d.dim_param == "") else None
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| /dports/misc/py-onnx/onnx-1.10.2/onnx/ |
| H A D | helper.py | 503 dim.dim_param = d
568 dim.dim_param = d
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| /dports/graphics/opencv/opencv-4.5.3/modules/dnn/misc/onnx/ |
| H A D | opencv-onnx.pb.cc | 5388 set_dim_param(from.dim_param()); in TensorShapeProto_Dimension()
5506 this->dim_param().data(), static_cast<int>(this->dim_param().length()), in MergePartialFromCodedStream()
5563 this->dim_param().data(), static_cast<int>(this->dim_param().length()), in SerializeWithCachedSizes()
5567 2, this->dim_param(), output); in SerializeWithCachedSizes()
5602 this->dim_param().data(), static_cast<int>(this->dim_param().length()), in InternalSerializeWithCachedSizesToArray()
5607 2, this->dim_param(), target); in InternalSerializeWithCachedSizesToArray()
5659 this->dim_param()); in ByteSizeLong()
5705 set_dim_param(from.dim_param()); in MergeFrom()
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| /dports/misc/py-onnx/onnx-1.10.2/onnx/shape_inference/ |
| H A D | implementation.h | 45 existing_symbols.insert(tensorType.shape().dim(i).dim_param()); in AddExistingSymbolicDims()
|