/external/tensorflow/tensorflow/python/ops/parallel_for/ |
D | array_test.py | 42 def loop_fn(i): function 70 self._test_loop_fn(loop_fn, 3) 75 def loop_fn(i): function 83 self._test_loop_fn(loop_fn, 3) 88 def loop_fn(i): function 92 self._test_loop_fn(loop_fn, 3) 97 def loop_fn(i): function 101 self._test_loop_fn(loop_fn, 3) 106 def loop_fn(i): function 110 self._test_loop_fn(loop_fn, 3) [all …]
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D | control_flow_ops_test.py | 90 def loop_fn(i): function 95 self._test_loop_fn(loop_fn, 3, fallback_to_while_loop=False) 96 self._test_loop_fn(loop_fn, 3, fallback_to_while_loop=True) 103 def loop_fn(i): function 108 self._test_loop_fn(loop_fn, 8, parallel_iterations=parallel_iterations) 110 loop_fn, 199 def loop_fn(i): function 203 self._test_loop_fn(loop_fn, 2) 207 def loop_fn(i): function 214 self._test_loop_fn(loop_fn, 2) [all …]
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D | math_test.py | 55 def loop_fn(i): function 72 self._test_loop_fn(loop_fn, 3) 151 def loop_fn(i): function 156 self._test_loop_fn(loop_fn, 3) 223 def loop_fn(i): function 233 self._test_loop_fn(loop_fn, 3) 242 def loop_fn(i): function 247 self._test_loop_fn(loop_fn, 3) 254 def loop_fn(i): function 258 self._test_loop_fn(loop_fn, 2) [all …]
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D | control_flow_ops.py | 46 def for_loop(loop_fn, loop_fn_dtypes, iters, parallel_iterations=None): argument 72 fn_output = nest.flatten(loop_fn(i)) 138 def pfor(loop_fn, iters, fallback_to_while_loop=True, parallel_iterations=None): argument 188 return _pfor_impl(loop_fn, 248 def _loop_fn_has_config(loop_fn): argument 250 if tf_inspect.isfunction(loop_fn): 251 argspec = tf_inspect.getargspec(loop_fn) 253 elif isinstance(loop_fn, functools.partial): 254 fn = loop_fn.func 257 PFOR_CONFIG_ARG not in loop_fn.keywords) [all …]
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D | xla_control_flow_ops_test.py | 52 def loop_fn(i): function 65 self._test_loop_fn(loop_fn, num_loop) 118 def loop_fn(i, pfor_config): function 122 return pfor_control_flow_ops.pfor(loop_fn, 8) 159 def _test_loop_fn(self, loop_fn, iters, force_xla=False): argument 162 return pfor_control_flow_ops.pfor(loop_fn, iters) 184 def loop_fn(i): function 193 self._test_loop_fn(loop_fn, 3) 198 def loop_fn(_): function 205 self._test_loop_fn(loop_fn, 3) [all …]
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D | gradients.py | 53 def loop_fn(i): function 64 loop_fn, output_size, parallel_iterations=parallel_iterations) 67 loop_fn, 129 def loop_fn(i): function 134 pfor_output = control_flow_ops.pfor(loop_fn, output_row_size, 138 loop_fn, output.dtype,
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D | gradients_test.py | 176 def loop_fn(i): function 179 pfor_outputs = control_flow_ops.pfor(loop_fn, batch_size) 181 while_outputs = control_flow_ops.for_loop(loop_fn, loop_fn_dtypes, batch_size) 200 def loop_fn(i): function 208 pfor_outputs = control_flow_ops.pfor(loop_fn, batch_size) 210 while_outputs = control_flow_ops.for_loop(loop_fn, loop_fn_dtypes, batch_size) 269 def loop_fn(i): function 273 pfor_outputs = control_flow_ops.pfor(loop_fn, batch_size) 275 loop_fn, dtypes.float32, batch_size) 288 def loop_fn(i): function [all …]
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D | test_util.py | 53 loop_fn, 60 loop_fn, 65 t2 = pfor_control_flow_ops.for_loop(loop_fn, loop_fn_dtypes, iters=iters,
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/external/tensorflow/tensorflow/python/eager/ |
D | backprop.py | 1162 def loop_fn(i): function 1175 output = pfor_ops.pfor(loop_fn, target_size, 1192 loop_fn, [target.dtype] * len(flat_sources), target_size, 1303 def loop_fn(i): function 1311 output = pfor_ops.pfor(loop_fn, target_row_size, 1327 output = pfor_ops.for_loop(loop_fn, target.dtype, target_row_size,
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/external/tensorflow/tensorflow/python/ops/ |
D | rnn.py | 920 loop_fn, argument 1086 if not callable(loop_fn): 1101 initial_state, emit_structure, init_loop_state) = loop_fn( 1187 next_loop_state) = loop_fn(next_time, next_output, cell_state,
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | rnn_cell_test.py | 2076 def loop_fn(time_, cell_output, cell_state, unused_loop_state): function 2093 outputs_ta, final_state, _ = rnn.raw_rnn(cell, loop_fn, scope=reuse_scope) 2185 def loop_fn(time_, cell_output, cell_state, loop_state): function 2203 r = rnn.raw_rnn(cell, loop_fn) 2222 def loop_fn(time_, cell_output, cell_state, loop_state): function 2246 r = rnn.raw_rnn(cell, loop_fn) 2269 def loop_fn(time_, cell_output, cell_state, _): function 2288 r = rnn.raw_rnn(cell, loop_fn) 2338 def loop_fn(time_, cell_output, cell_state, unused_loop_state): function 2354 return rnn.raw_rnn(cell, loop_fn, scope=scope)
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.nn.pbtxt | 313 …argspec: "args=[\'cell\', \'loop_fn\', \'parallel_iterations\', \'swap_memory\', \'scope\'], varar…
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