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/external/tensorflow/tensorflow/lite/python/
Dop_hint.py550 self.flattened = None
558 if not self.flattened:
559 self.flattened = [None] * len(self.nodes)
561 self.flattened[idx] = node
566 self.flattened = self.flattened[:1]
568 self.flattened = self.flattened[-1:]
574 return self.flattened
595 flattened = self.flatten_nodes()
596 if len(flattened) == 1:
597 return _tensor_name_base(flattened[0].name)
[all …]
/external/tensorflow/tensorflow/core/api_def/base_api/
Dapi_def_MaxPoolWithArgmax.pbtxt18 4-D. The flattened indices of the max values chosen for each output.
43 Whether to include batch dimension in flattened index of `argmax`.
48 The indices in `argmax` are flattened, so that a maximum value at position
49 `[b, y, x, c]` becomes flattened index:
Dapi_def_TPUReplicate.pbtxt7 the inputs to 'computation', flattened, in replica-major order.
68 a flattened array with shape
Dapi_def_UnravelIndex.pbtxt7 flattened version of an array of dimensions dims.
Dapi_def_MaxPoolGradGradWithArgmax.pbtxt50 Whether to include batch dimension in flattened index of `argmax`.
Dapi_def_MaxPoolGradWithArgmax.pbtxt51 Whether to include batch dimension in flattened index of `argmax`.
Dapi_def_UnicodeDecode.pbtxt6 The text to be decoded. Can have any shape. Note that the output is flattened
/external/dtc/Documentation/
Ddtc-paper.tex44 flattened-tree representation of the system's hardware based on the
55 This flattened-tree approach is now the only supported method of
114 compact, flattened format. The resulting device tree ``blob'' is then
121 directly from the entry point taking a flattened device tree. The
129 \subsection{Properties of the flattened tree}
131 The flattened tree format should be easy to handle, both for the
141 make tweaks to the flattened tree, such as deleting or inserting a
143 having to effectively regenerate the whole flattened tree. In
247 Having seen how to represent the device tree structure as a flattened
249 same as an OF tree''. On OF systems, the flattened tree is
[all …]
Dmanual.txt60 - "dtb": "blob" format. A flattened device-tree block with
276 This chapter defines the format of the flattened device-tree
287 will generate a flattened device-tree from the Open Firmware
328 /* Definitions used by the flattened device tree */
390 to reallocate it easily at boot and free up the unused flattened
527 flattened device tree is used directly. An example of a node
631 manipulating a flattened tree must take care to preserve this
/external/tensorflow/tensorflow/python/framework/
Dfunc_graph.py111 flattened = nest.flatten_with_tuple_paths(structure)
118 flattened = [
119 ((arg_names[path[0]],) + path[1:], arg) for path, arg in flattened
122 mapped = [encode_arg(arg, path) for path, arg in flattened]
891 flattened = nest.flatten(arg_value)
893 arg for arg in flattened if isinstance(arg, tensor_spec.TensorSpec)
900 for arg in flattened:
/external/tensorflow/tensorflow/python/debug/lib/
Dstepper.py48 flattened = []
51 flattened.extend(_flatten_fetches(fetch))
54 flattened.extend(_flatten_fetches(fetches[key]))
56 flattened.append(fetches)
58 return flattened
/external/tensorflow/tensorflow/python/util/
Dnest_test.py175 flattened = nest.flatten(mess)
176 self.assertEqual(flattened, ["z", 3, 4, 5, 1, 2, 3, 4, 17])
197 unflattened = nest.pack_sequence_as(structure_of_mess, flattened)
211 flattened = nest.flatten(structure)
212 self.assertLen(flattened, 1)
216 flattened = nest.flatten(structure)
217 self.assertLen(flattened, 1)
218 unflattened = nest.pack_sequence_as("goodbye", flattened)
/external/llvm/test/Transforms/PhaseOrdering/
DPR6627.ll6 ; PR6627 - This whole nasty sequence should be flattened down to a single
51 ; PR6627 - This should all be flattened down to one compare. This is the same
/external/swiftshader/third_party/llvm-7.0/llvm/test/Transforms/PhaseOrdering/
DPR6627.ll6 ; PR6627 - This whole nasty sequence should be flattened down to a single
51 ; PR6627 - This should all be flattened down to one compare. This is the same
/external/deqp-deps/glslang/Test/
Dhlsl.array.flatten.frag14 … float g_floats[4] = { 10, 11, 12, 13 }; // TODO: ... add when initializer lists can be flattened.
/external/swiftshader/third_party/LLVM/test/Transforms/PhaseOrdering/
Dbasic.ll28 ; PR6627 - This whole nasty sequence should be flattened down to a single
75 ; PR6627 - This should all be flattened down to one compare. This is the same
/external/tensorflow/tensorflow/python/data/util/
Dnest_test.py109 flattened = nest.flatten(mess)
110 self.assertEqual(flattened, ["z", 3, 4, 5, 1, 2, 3, 17])
128 unflattened = nest.pack_sequence_as(structure_of_mess, flattened)
/external/tensorflow/tensorflow/python/distribute/
Dinput_lib.py63 flattened = tuple(d for l in self._fed_devices for d in l)
64 assert (flattened ==
67 (flattened, logical_device,
/external/tensorflow/tensorflow/contrib/opt/python/training/
Dexternal_optimizer.py258 flattened = [array_ops.reshape(tensor, [-1]) for tensor in tensors]
259 return array_ops.concat(flattened, 0)
/external/tensorflow/tensorflow/core/protobuf/tpu/
Dtopology.proto20 // A flattened rank 3 int32 array with shape
/external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/
Dhead.py477 flattened = {}
481 flattened[prefixed_state_name] = state_value
482 return flattened
/external/jsoncpp/
DREADME.md206 * `test_complex_01.expected`: flattened JSON element tree used to check if
208 * `test_complex_01.actual`: flattened JSON element tree produced by `jsontest`
213 * `test_complex_01.actual-rewrite`: flattened JSON element tree produced by
/external/libprotobuf-mutator/examples/xml/
Dxml.proto5 // Not all features are implemented and some rules are flattened.
/external/tensorflow/tensorflow/python/eager/
Ddef_function.py594 flattened = nest.flatten(signature)
597 for arg in flattened):
/external/tensorflow/tensorflow/core/framework/
Dtensor.proto40 // be set. The values hold the flattened representation of the tensor in

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