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/external/tensorflow/tensorflow/python/ops/parallel_for/
Dpfor.py398 pfor = PFor(
414 pfor._add_conversion(enter, wrap(converted_enter, False))
418 pfor._add_conversion(enter, wrap(inp, stacked))
423 pfor._add_conversion(merge.outputs[0], wrapped_inp)
432 pfor._add_conversion(merge.outputs[1],
436 pfor._add_conversion(switch.outputs[1], wrapped_inp)
437 return pfor
498 loop_len_vector = pfor_input.pfor.loop_len_vector
507 inp, stacked = self._convert_enter(pfor_input.pfor, enter)
554 init_values = [True, pfor_input.pfor.all_indices] + inputs + output_tas
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Dcontrol_flow_ops_test.py118 x = pfor_control_flow_ops.pfor(
126 pfor_control_flow_ops.pfor(lambda i: 1, 8, parallel_iterations=0)
133 pfor_control_flow_ops.pfor(lambda i: 1, 8, parallel_iterations=1)
247 output = pfor_control_flow_ops.pfor(loop_fn, 4)
261 output = pfor_control_flow_ops.pfor(loop_fn, 8)
273 output = pfor_control_flow_ops.pfor(loop_fn, 8)
285 output = pfor_control_flow_ops.pfor(loop_fn, 8)
302 output = pfor_control_flow_ops.pfor(LoopFn(), 8)
316 output = pfor_control_flow_ops.pfor(loop_fn, 8)
330 pfor_control_flow_ops.pfor(loop_fn, 8, parallel_iterations=2)
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Dindex.md49 This prints a bunch of gathers related to pfor infrastructure, but at the time
107 …low/blob/349172cf0ac29ba1346d244a40dc4761b4600f2e/tensorflow/python/ops/parallel_for/pfor.py#L2653)
112 vectorizable). In practice not all ops have pfor converters defined, and those
120 common case, pfor converters take loop-variant inputs with an extra dimension
135 tensorflow/python/ops/parallel_for/pfor.py (the user-facing APIs are defined in
152 …9172cf0ac29ba1346d244a40dc4761b4600f2e/tensorflow/python/ops/parallel_for/pfor.py#L3505-L3522) ([e…
154 …9172cf0ac29ba1346d244a40dc4761b4600f2e/tensorflow/python/ops/parallel_for/pfor.py#L3276-L3294) sha…
156 …ob/349172cf0ac29ba1346d244a40dc4761b4600f2e/tensorflow/python/ops/parallel_for/pfor.py#L3360-L3377)
171 …9172cf0ac29ba1346d244a40dc4761b4600f2e/tensorflow/python/ops/parallel_for/pfor.py#L4499); [example…
179 …9172cf0ac29ba1346d244a40dc4761b4600f2e/tensorflow/python/ops/parallel_for/pfor.py#L5001) is fairly…
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Dgradients.py59 pfor_outputs = control_flow_ops.pfor(
130 pfor_output = control_flow_ops.pfor(loop_fn, output_row_size,
Dcontrol_flow_ops.py35 from tensorflow.python.ops.parallel_for.pfor import PFor
36 from tensorflow.python.ops.parallel_for.pfor import PForConfig
138 def pfor(loop_fn, function
565 return pfor(
Dgradients_test.py175 pfor_outputs = control_flow_ops.pfor(loop_fn, batch_size)
204 pfor_outputs = control_flow_ops.pfor(loop_fn, batch_size)
269 pfor_outputs = control_flow_ops.pfor(loop_fn, batch_size)
292 pfor_outputs = control_flow_ops.pfor(loop_fn, batch_size)
319 pfor_outputs = control_flow_ops.pfor(
341 per_eg_jacobians_pfor = control_flow_ops.pfor(
500 pfor = self.evaluate(pfor_jacobian)
503 self.assertAllClose(while_i, pfor[:, i, ...])
D__init__.py19 from tensorflow.python.ops.parallel_for.control_flow_ops import pfor
DBUILD16 "pfor.py",
53 srcs = ["pfor.py"],
Dtest_util.py55 t1 = pfor_control_flow_ops.pfor(
Dxla_control_flow_ops_test.py118 return pfor_control_flow_ops.pfor(loop_fn, 8)
158 return pfor_control_flow_ops.pfor(loop_fn, iters)
Darray_test.py236 pfor_control_flow_ops.pfor(loop_fn, 2, fallback_to_while_loop=False)
/external/tensorflow/tensorflow/python/eager/
Dbackprop.py1216 output = pfor_ops.pfor(loop_fn, target_size,
1363 output = pfor_ops.pfor(loop_fn, target_row_size,
/external/tensorflow/
DRELEASE.md5823 * `pfor/vectorized_map`: Added support for vectorizing 56 more ops.
6223 * Add `pfor` converter for `SelfAdjointEigV2`.
6954 * `parallel_for.pfor`: add converters for Softmax, LogSoftmax, IsNaN, All,
6962 * Add `pfor` converter for `Squeeze`.
7283 * Add pfor converter for Squeeze.