| /external/skqp/tests/ |
| D | ClipStackTest.cpp | 1054 const GrReducedClip* reduced = new (storage.get()) GrReducedClip(stack, queryBounds, caps); in test_reduced_clip_stack() local
1057 reduced->maskElements().isEmpty() || in test_reduced_clip_stack()
1058 SkClipStack::kInvalidGenID != reduced->maskGenID(), in test_reduced_clip_stack()
1061 if (!reduced->maskElements().isEmpty()) { in test_reduced_clip_stack()
1062 REPORTER_ASSERT(reporter, reduced->hasScissor(), testCase.c_str()); in test_reduced_clip_stack()
1066 REPORTER_ASSERT(reporter, reduced->maskRequiresAA() == doAA, testCase.c_str()); in test_reduced_clip_stack()
1071 if (GrReducedClip::InitialState::kAllOut == reduced->initialState()) { in test_reduced_clip_stack()
1075 for (ElementList::Iter iter(reduced->maskElements()); iter.get(); iter.next()) { in test_reduced_clip_stack()
1079 SkIRect scissor = reduced->hasScissor() ? reduced->scissor() : kIBounds; in test_reduced_clip_stack()
1094 reduced->~GrReducedClip(); in test_reduced_clip_stack()
[all …]
|
| /external/skia/tests/ |
| D | ClipStackTest.cpp | 1054 const GrReducedClip* reduced = new (storage.get()) GrReducedClip(stack, queryBounds, caps); in test_reduced_clip_stack() local
1057 reduced->maskElements().isEmpty() || in test_reduced_clip_stack()
1058 SkClipStack::kInvalidGenID != reduced->maskGenID(), in test_reduced_clip_stack()
1061 if (!reduced->maskElements().isEmpty()) { in test_reduced_clip_stack()
1062 REPORTER_ASSERT(reporter, reduced->hasScissor(), testCase.c_str()); in test_reduced_clip_stack()
1066 REPORTER_ASSERT(reporter, reduced->maskRequiresAA() == doAA, testCase.c_str()); in test_reduced_clip_stack()
1071 if (GrReducedClip::InitialState::kAllOut == reduced->initialState()) { in test_reduced_clip_stack()
1075 for (ElementList::Iter iter(reduced->maskElements()); iter.get(); iter.next()) { in test_reduced_clip_stack()
1079 SkIRect scissor = reduced->hasScissor() ? reduced->scissor() : kIBounds; in test_reduced_clip_stack()
1094 reduced->~GrReducedClip(); in test_reduced_clip_stack()
[all …]
|
| /external/python/cpython3/Lib/lib2to3/ |
| D | btm_utils.py | 129 reduced = reduce_tree(child, new_node)
130 if reduced is not None:
131 new_node.children.append(reduced)
137 reduced = reduce_tree(child, new_node)
138 if reduced:
139 new_node.children.append(reduced)
229 reduced = reduce_tree(child, new_node)
230 if reduced is not None:
231 new_node.children.append(reduced)
|
| /external/python/cpython2/Lib/lib2to3/ |
| D | btm_utils.py | 130 reduced = reduce_tree(child, new_node)
131 if reduced is not None:
132 new_node.children.append(reduced)
138 reduced = reduce_tree(child, new_node)
139 if reduced:
140 new_node.children.append(reduced)
230 reduced = reduce_tree(child, new_node)
231 if reduced is not None:
232 new_node.children.append(reduced)
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | reduce_join_op_test.py | 241 reduced = string_ops.reduce_join(placeholder, axis=0)
242 output_array = reduced.eval(feed_dict={placeholder.name: input_array})
244 self.assertAllEqual(truth_shape, reduced.get_shape())
255 reduced = string_ops.reduce_join(input_array, axis=placeholder)
256 output_array_dim_zero = reduced.eval(feed_dict={placeholder.name: [0]})
257 output_array_dim_one = reduced.eval(feed_dict={placeholder.name: [1]})
260 self.assertAllEqual(truth_shape, reduced.get_shape())
347 reduced = string_ops.reduce_join(["test", "test2"], axis=placeholder)
350 reduced.eval(feed_dict={placeholder.name: -2})
352 reduced.eval(feed_dict={placeholder.name: 2})
|
| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_SparseReduceMax.pbtxt | 31 `R-K`-D. The reduced Tensor.
37 If true, retain reduced dimensions with length 1.
47 `keep_dims` is true, the rank of the tensor is reduced by 1 for each entry in
48 `reduction_axes`. If `keep_dims` is true, the reduced dimensions are retained
51 If `reduction_axes` has no entries, all dimensions are reduced, and a tensor
|
| D | api_def_SparseReduceSum.pbtxt | 31 `R-K`-D. The reduced Tensor.
37 If true, retain reduced dimensions with length 1.
47 `keep_dims` is true, the rank of the tensor is reduced by 1 for each entry in
48 `reduction_axes`. If `keep_dims` is true, the reduced dimensions are retained
51 If `reduction_axes` has no entries, all dimensions are reduced, and a tensor
|
| D | api_def_EuclideanNorm.pbtxt | 23 The reduced tensor.
29 If true, retain reduced dimensions with length 1.
35 `keep_dims` is true, the rank of the tensor is reduced by 1 for each entry in
36 `reduction_indices`. If `keep_dims` is true, the reduced dimensions are
|
| D | api_def_Mean.pbtxt | 26 The reduced tensor.
32 If true, retain reduced dimensions with length 1.
38 `keep_dims` is true, the rank of the tensor is reduced by 1 for each entry in
39 `reduction_indices`. If `keep_dims` is true, the reduced dimensions are
|
| D | api_def_Max.pbtxt | 26 The reduced tensor.
32 If true, retain reduced dimensions with length 1.
38 `keep_dims` is true, the rank of the tensor is reduced by 1 for each entry in
39 `reduction_indices`. If `keep_dims` is true, the reduced dimensions are
|
| D | api_def_Any.pbtxt | 26 The reduced tensor.
32 If true, retain reduced dimensions with length 1.
38 `keep_dims` is true, the rank of the tensor is reduced by 1 for each entry in
39 `reduction_indices`. If `keep_dims` is true, the reduced dimensions are
|
| D | api_def_Min.pbtxt | 26 The reduced tensor.
32 If true, retain reduced dimensions with length 1.
38 `keep_dims` is true, the rank of the tensor is reduced by 1 for each entry in
39 `reduction_indices`. If `keep_dims` is true, the reduced dimensions are
|
| D | api_def_Sum.pbtxt | 26 The reduced tensor.
32 If true, retain reduced dimensions with length 1.
38 `keep_dims` is true, the rank of the tensor is reduced by 1 for each entry in
39 `reduction_indices`. If `keep_dims` is true, the reduced dimensions are
|
| D | api_def_Prod.pbtxt | 26 The reduced tensor.
32 If true, retain reduced dimensions with length 1.
38 `keep_dims` is true, the rank of the tensor is reduced by 1 for each entry in
39 `reduction_indices`. If `keep_dims` is true, the reduced dimensions are
|
| D | api_def_All.pbtxt | 26 The reduced tensor.
32 If true, retain reduced dimensions with length 1.
38 `keep_dims` is true, the rank of the tensor is reduced by 1 for each entry in
39 `reduction_indices`. If `keep_dims` is true, the reduced dimensions are
|
| D | api_def_SparseReduceSumSparse.pbtxt | 31 If true, retain reduced dimensions with length 1.
41 `keep_dims` is true, the rank of the tensor is reduced by 1 for each entry in
42 `reduction_axes`. If `keep_dims` is true, the reduced dimensions are retained
45 If `reduction_axes` has no entries, all dimensions are reduced, and a tensor
|
| D | api_def_SparseReduceMaxSparse.pbtxt | 31 If true, retain reduced dimensions with length 1.
41 `keep_dims` is true, the rank of the tensor is reduced by 1 for each entry in
42 `reduction_axes`. If `keep_dims` is true, the reduced dimensions are retained
45 If `reduction_axes` has no entries, all dimensions are reduced, and a tensor
|
| D | api_def_ReduceJoin.pbtxt | 6 The input to be joined. All reduced indices must have non-zero size.
12 The dimensions to reduce over. Dimensions are reduced in the
20 Has shape equal to that of the input with reduced dimensions removed or
27 If `True`, retain reduced dimensions with length `1`.
|
| /external/tensorflow/tensorflow/compiler/xla/service/ |
| D | reduce_precision_insertion.cc | 96 HloInstruction* reduced = instruction->parent()->AddInstruction( in insert_after() local
99 TF_RETURN_IF_ERROR(instruction->ReplaceAllUsesWith(reduced)); in insert_after()
137 HloInstruction* reduced = nullptr; in insert_on_inputs() local
143 reduced = user; in insert_on_inputs()
148 if (!reduced) { in insert_on_inputs()
149 reduced = instruction->parent()->AddInstruction( in insert_on_inputs()
154 TF_RETURN_IF_ERROR(instruction->ReplaceOperandWith(i, reduced)); in insert_on_inputs()
|
| /external/boringssl/src/third_party/wycheproof_testvectors/ |
| D | aes_gcm_test.txt | 499 # The counter for AES-GCM is reduced modulo 2**32. This test vector was
511 # The counter for AES-GCM is reduced modulo 2**32. This test vector was
523 # The counter for AES-GCM is reduced modulo 2**32. This test vector was
535 # The counter for AES-GCM is reduced modulo 2**32. This test vector was
547 # The counter for AES-GCM is reduced modulo 2**32. This test vector was
559 # The counter for AES-GCM is reduced modulo 2**32. This test vector was
571 # The counter for AES-GCM is reduced modulo 2**32. This test vector was
583 # The counter for AES-GCM is reduced modulo 2**32. This test vector was
595 # The counter for AES-GCM is reduced modulo 2**32. This test vector was
607 # The counter for AES-GCM is reduced modulo 2**32. This test vector was
[all …]
|
| /external/tensorflow/tensorflow/python/distribute/ |
| D | cross_device_ops.py | 214 reduced = cross_device_utils.aggregate_tensors_or_indexed_slices(
217 reduced = cross_device_utils.divide_by_n_tensors_or_indexed_slices(
218 reduced, count)
221 return reduced
391 reduced = _simple_reduce(per_replica_value, reduce_to_device,
393 return self.broadcast(reduced, destinations)
626 def _unpack_tensors(reduced, tensor_packer=None): argument
629 return tensor_packer.unpack(reduced)
630 return reduced
731 reduced = cross_device_utils.aggregate_gradients_using_nccl(
[all …]
|
| /external/eigen/unsupported/test/ |
| D | cxx11_tensor_argmax.cpp | 64 Tensor<Tuple<DenseIndex, float>, 0, DataLayout> reduced; in test_argmax_tuple_reducer() local
66 reduced = index_tuples.reduce( in test_argmax_tuple_reducer()
71 VERIFY_IS_EQUAL(maxi(), reduced(0).second); in test_argmax_tuple_reducer()
96 Tensor<Tuple<DenseIndex, float>, 0, DataLayout> reduced; in test_argmin_tuple_reducer() local
98 reduced = index_tuples.reduce( in test_argmin_tuple_reducer()
103 VERIFY_IS_EQUAL(mini(), reduced(0).second); in test_argmin_tuple_reducer()
|
| /external/tensorflow/tensorflow/python/ops/ragged/ |
| D | ragged_reduce_op_test.py | 310 reduced = ragged_reduce_op(rt_input, axis)
311 self.assertRaggedEqual(reduced, expected)
324 reduced = ragged_math_ops.reduce_mean(rt_input, axis=1)
325 self.assertEqualWithNan(self.evaluate(reduced), expected)
330 reduced = ragged_math_ops.reduce_mean(tensor, axis=1)
331 self.assertRaggedEqual(reduced, expected)
|
| /external/clang/test/CodeGen/ |
| D | regparm.c | 14 extern void FASTCALL reduced(char b, double c, foo* d, double e, int f);
24 reduced(0, 0.0, 0, 0.0, 0); in main()
|
| /external/swiftshader/third_party/llvm-7.0/llvm/test/MC/ARM/ |
| D | coff-debugging-secrel.ll | 8 ; ModuleID = '/Users/compnerd/work/llvm/test/MC/ARM/reduced.c'
22 !2 = !DIFile(filename: "/Users/compnerd/work/llvm/test/MC/ARM/reduced.c", directory: "/Users/compne…
23 !3 = !DIFile(filename: "/Users/compnerd/work/llvm/test/MC/ARM/reduced.c", directory: "/Users/compne…
|