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  /cts/tests/tests/graphics/src/android/graphics/drawable/shapes/cts/
OvalShapeTest.java 17 package android.graphics.drawable.shapes.cts;
31 import android.graphics.drawable.shapes.OvalShape;
PathShapeTest.java 17 package android.graphics.drawable.shapes.cts;
30 import android.graphics.drawable.shapes.PathShape;
RectShapeTest.java 17 package android.graphics.drawable.shapes.cts;
32 import android.graphics.drawable.shapes.RectShape;
ShapeTest.java 17 package android.graphics.drawable.shapes.cts;
30 import android.graphics.drawable.shapes.Shape;
  /external/tensorflow/tensorflow/core/kernels/data/
random_dataset_op.cc 69 static std::vector<PartialTensorShape>* shapes = variable
71 return *shapes;
range_dataset_op.cc 63 static std::vector<PartialTensorShape>* shapes = variable
65 return *shapes;
tensor_queue_dataset_op.cc 51 const std::vector<PartialTensorShape>& shapes) {
53 out.reserve(shapes.size() + 1);
55 for (PartialTensorShape s : shapes) {
69 const std::vector<PartialTensorShape>& shapes,
75 shapes_(shapes),
78 batched_shapes_with_queue_(PrependQueueShapeWithBatch(shapes)) {
171 const auto& shapes = dataset()->shapes_; variable
179 const PartialTensorShape& shape = shapes[i];
215 if (shapes[i].IsFullyDefined() &&
216 shapes[i].IsIdenticalTo(input_shapes[i]))
    [all...]
  /external/tensorflow/tensorflow/python/ops/
split_benchmark.py 111 shapes = [[2000, 8], [8, 2000], [100, 18], [1000, 18], [10000, 18],
116 for shape in shapes:
  /frameworks/base/core/java/android/widget/
RatingBar.java 21 import android.graphics.drawable.shapes.RectShape;
22 import android.graphics.drawable.shapes.Shape;
  /frameworks/support/v7/appcompat/src/main/java/androidx/appcompat/widget/
AppCompatProgressBarHelper.java 28 import android.graphics.drawable.shapes.RoundRectShape;
29 import android.graphics.drawable.shapes.Shape;
  /packages/apps/UnifiedEmail/src/com/android/mail/ui/
FolderItemView.java 21 import android.graphics.drawable.shapes.RoundRectShape;
22 import android.graphics.drawable.shapes.Shape;
  /external/python/cpython2/Demo/tkinter/guido/
paint.py 16 options like other shapes or colors...
  /external/tensorflow/tensorflow/contrib/training/python/training/
sampling_ops_threading_test.py 55 shapes=[prob_estimate.get_shape()])
  /external/tensorflow/tensorflow/java/src/main/java/org/tensorflow/
OperationBuilder.java 278 // Flatten the shapes into a single array to avoid too much overhead in the
280 long[] shapes = new long[totalNumDimensions]; local
285 shapes[shapeIdx++] = dim;
291 setAttrShapeList(unsafeNativeHandle, name, shapes, numDimensions);
356 long handle, String name, long[] shapes, int[] numDims);
  /external/tensorflow/tensorflow/python/data/util/
sparse_test.py 318 shapes = nest.map_structure(lambda _: tensor_shape.TensorShape(None),
322 sparse.serialize_sparse_tensors(expected), types, shapes,
347 shapes = nest.map_structure(lambda _: tensor_shape.TensorShape(None),
351 sparse.serialize_many_sparse_tensors(expected), types, shapes,
  /frameworks/base/graphics/java/android/graphics/drawable/
PaintDrawable.java 19 import android.graphics.drawable.shapes.RoundRectShape;
  /external/tensorflow/tensorflow/compiler/xla/service/
hlo_tfgraph_builder.cc 155 // name used by Tensorboard for shapes of output tensors.
156 tensorflow::AttrValue shapes; local
157 *shapes.mutable_list()->add_shape() = GetTensorShape(instruction);
158 attrs["_output_shapes"] = shapes;
  /external/tensorflow/tensorflow/core/kernels/hexagon/
graph_transferer.cc 168 std::vector<TensorShape> shapes; local
170 node->attrs(), &data_types, &shapes);
174 for (const int64 dim : ToTensorShapeArray(shapes.at(port))) {
322 std::vector<TensorShape> shapes; local
330 shapes.emplace_back(input_node_info_list.at(i).second.shape());
342 .Attr(RemoteFusedGraphExecuteUtils::ATTR_OUTPUT_SHAPES, shapes);
377 std::vector<TensorShape> shapes; local
379 original_input_node->attrs(), &data_types, &shapes);
384 shapes);
619 std::vector<TensorShape> shapes; local
679 std::vector<TensorShape> shapes; local
908 std::vector<TensorShape> shapes; local
    [all...]
  /external/tensorflow/tensorflow/python/kernel_tests/
stage_op_test.py 78 shapes=[[], [128, 128]],
122 ], shapes=[[]])
144 shapes=[[], [128, 128]],
171 ], capacity=capacity, shapes=[[]])
234 ], memory_limit=memory_limit, shapes=[[]])
reader_ops_test.py 92 queue = data_flow_ops.FIFOQueue(99, [dtypes.string], shapes=())
124 queue = data_flow_ops.FIFOQueue(99, [dtypes.string], shapes=())
146 queue = data_flow_ops.FIFOQueue(99, [dtypes.string], shapes=())
202 queue = data_flow_ops.FIFOQueue(99, [dtypes.string], shapes=())
251 queue = data_flow_ops.FIFOQueue(99, [dtypes.string], shapes=())
267 queue = data_flow_ops.FIFOQueue(99, [dtypes.string], shapes=())
310 queue = data_flow_ops.FIFOQueue(99, [dtypes.string], shapes=())
335 queue = data_flow_ops.FIFOQueue(99, [dtypes.string], shapes=())
497 queue = data_flow_ops.FIFOQueue(99, [dtypes.string], shapes=())
524 queue = data_flow_ops.FIFOQueue(99, [dtypes.string], shapes=()
    [all...]
padding_fifo_queue_test.py 47 attr { key: 'shapes' value { list { shape { dim { size: -1 } } } } }
65 attr { key: 'shapes' value { list { shape { } shape { } } } }
75 shapes=(tensor_shape.TensorShape([1, 1, 2, 3]),
84 attr { key: 'shapes' value { list {
106 10, dtypes_lib.float32, shapes=((3, 2),))
116 10, [dtypes_lib.int32, dtypes_lib.int32], shapes=[(), (2,)])
278 q = data_flow_ops.PaddingFIFOQueue(10, dtypes_lib.float32, shapes=((),))
289 10, dtypes_lib.float32, shapes=((None,),))
300 10, dtypes_lib.float32, shapes=((None,),))
312 r"When providing partial shapes, a list of shapes must be provided.")
    [all...]
diag_op_test.py 70 shapes = ((3,), (7, 4))
72 for shape in shapes:
161 shapes = ((3, 4, 4), (3, 3, 4), (3, 4, 3), (7, 4, 8, 8))
163 for shape in shapes:
259 shapes = ((3, 3), (2, 3), (3, 2), (5, 3, 3))
261 for shape in shapes:
498 shapes = ((3,), (3, 3), (3, 3, 3))
502 for shape in shapes:
518 shapes = ((3, 3), (3, 3, 3, 3))
522 for shape in shapes
    [all...]
  /external/tensorflow/tensorflow/python/estimator/inputs/queues/
feeding_functions.py 84 ValueError if data samples have different shapes (except last padded dim).
86 shapes = [
89 if not all(shapes[0] == x for x in shapes):
90 raise ValueError("Array shapes must match.")
101 shape=[batch_size] + list(shapes[0]) + [max_sequence_length],
451 shapes=queue_shapes,
459 capacity, dtypes=types, shapes=queue_shapes)
463 capacity, dtypes=types, shapes=queue_shapes)
469 # Note the placeholders have no shapes, so they will accept an
    [all...]
  /external/tensorflow/tensorflow/python/keras/_impl/keras/
optimizers.py 120 ValueError: in case of incompatible weight shapes.
189 shapes = [K.int_shape(p) for p in params]
190 moments = [K.zeros(shape) for shape in shapes]
313 shapes = [K.int_shape(p) for p in params]
314 accumulators = [K.zeros(shape) for shape in shapes]
376 shapes = [K.int_shape(p) for p in params]
377 accumulators = [K.zeros(shape) for shape in shapes]
378 delta_accumulators = [K.zeros(shape) for shape in shapes]
561 shapes = [K.int_shape(p) for p in params]
563 ms = [K.zeros(shape) for shape in shapes]
    [all...]
  /external/tensorflow/tensorflow/python/kernel_tests/random/
random_shuffle_queue_test.py 59 10, 5, dtypes_lib.float32, shapes=tensor_shape.TensorShape([3, 2]))
69 10, 5, [dtypes_lib.int32, dtypes_lib.int32], shapes=[(), (2,)])
74 10, 5, dtypes_lib.int32, shapes=tensor_shape.TensorShape([3]))
81 10, 0, [dtypes_lib.int32, dtypes_lib.int32], shapes=[(), (1,)])
250 q = data_flow_ops.RandomShuffleQueue(10, 0, dtypes_lib.float32, shapes=())
260 q = data_flow_ops.RandomShuffleQueue(10, 0, dtypes_lib.float32, shapes=())
277 "require the components to have specified shapes"):
283 # with unspecified shapes, even if a shape could be inferred from the
286 "require the components to have specified shapes"):
298 "require the components to have specified shapes")
    [all...]

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