| /external/tensorflow/tensorflow/compiler/xla/service/ |
| reshape_mover_test.cc | 526 auto shape1 = ShapeUtil::MakeShape(F32, {1, 8, 1, 7}); local
531 HloInstruction::CreateParameter(0, shape1, "param0"));
533 HloInstruction::CreateParameter(1, shape1, "param1"));
|
| /external/tensorflow/tensorflow/compiler/xla/ |
| shape_util_test.cc | 151 Shape shape1 = ShapeUtil::MakeShape(F32, {3, 2}); local
153 ASSERT_TRUE(ShapeUtil::Compatible(shape1, shape2));
174 Shape shape1 = ShapeUtil::MakeShape(BF16, {3, 2}); local
176 ASSERT_TRUE(ShapeUtil::CompatibleIgnoringFpPrecision(shape1, shape2));
180 Shape shape1 = ShapeUtil::MakeShape(BF16, {3, 2}); local
182 ASSERT_FALSE(ShapeUtil::CompatibleIgnoringFpPrecision(shape1, shape2));
242 Shape shape1 = ShapeUtil::MakeShape(F32, {20, 30}); local
243 shape1.mutable_layout()->add_padded_dimensions(10);
248 EXPECT_FALSE(ShapeUtil::Equal(shape1, shape2));
252 Shape shape1 = ShapeUtil::MakeShape(F32, {20, 30}) local
551 Shape shape1 = ShapeUtil::MakeShape(S32, {1, 9, 4, 1}); local
[all...] |
| /external/tensorflow/tensorflow/compiler/xla/tests/ |
| fusion_test.cc | 787 Shape shape1 = ShapeUtil::MakeShape(F32, {param1_dim0, param1_dim1}); local
[all...] |
| /external/tensorflow/tensorflow/core/kernels/ |
| set_kernels.cc | 383 Status CheckShapesMatch(VarDimArray shape1, VarDimArray shape2) {
384 if (shape1 != shape2) {
386 str_util::Join(shape1, ","), "] vs [",
394 Status GroupShapeFromInputs(VarDimArray shape1, VarDimArray shape2,
397 TF_RETURN_IF_ERROR(GroupShape(shape1, &group_shape_1));
437 const auto shape1 = TensorShapeToArray(set1_t.shape()); local
439 OP_REQUIRES_OK(ctx, GroupShapeFromInputs(shape1, shape2, &group_shape));
441 const auto set1_strides = Strides(shape1);
|
| /external/tensorflow/tensorflow/core/grappler/optimizers/ |
| constant_folding.cc | 386 bool ShapesEqual(const TensorShapeProto& shape1,
388 if (shape1.unknown_rank() || shape2.unknown_rank()) {
391 if (shape1.dim_size() != shape2.dim_size()) {
394 for (int i = 0; i < shape1.dim_size(); ++i) {
395 if (shape1.dim(i).size() != shape2.dim(i).size()) {
398 if (shape1.dim(i).size() == -1 || shape2.dim(i).size() == -1) {
454 BCast::Vec shape1; local
455 if (!ExtractShape(*shape_node1, properties, &shape1, &min_id)) {
465 for (auto& id : shape1) {
480 const int common_dims = std::min(shape1.size(), shape2.size())
[all...] |
| /prebuilts/devtools/tools/lib/ |
| jfreechart-1.0.9.jar | |
| /prebuilts/tools/common/jfreechart/ |
| jfreechart-1.0.9.jar | |
| /prebuilts/tools/common/m2/repository/jfree/jfreechart/1.0.9/ |
| jfreechart-1.0.9.jar | |
