/external/mesa3d/src/intel/isl/ |
D | isl_aux_info.c | 130 isl_aux_prepare_access(enum isl_aux_state initial_state, in isl_aux_prepare_access() argument 137 assert(aux_state_possible(initial_state, state_superset_usage)); in isl_aux_prepare_access() 141 switch (initial_state) { in isl_aux_prepare_access() 171 isl_aux_state_transition_aux_op(enum isl_aux_state initial_state, in isl_aux_state_transition_aux_op() argument 175 assert(aux_state_possible(initial_state, usage)); in isl_aux_state_transition_aux_op() 180 return initial_state; in isl_aux_state_transition_aux_op() 185 assert(isl_aux_state_has_valid_aux(initial_state)); in isl_aux_state_transition_aux_op() 187 return initial_state == ISL_AUX_STATE_CLEAR || in isl_aux_state_transition_aux_op() 188 initial_state == ISL_AUX_STATE_PARTIAL_CLEAR || in isl_aux_state_transition_aux_op() 189 initial_state == ISL_AUX_STATE_COMPRESSED_CLEAR ? in isl_aux_state_transition_aux_op() [all …]
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/external/tensorflow/tensorflow/python/keras/layers/ |
D | lstm_test.py | 198 initial_state = [keras.Input((units,)) for _ in range(num_states)] 200 if len(initial_state) == 1: 201 output = layer(inputs, initial_state=initial_state[0]) 203 output = layer(inputs, initial_state=initial_state) 205 any(initial_state[0] is t 208 model = keras.models.Model([inputs] + initial_state, output) 215 initial_state = [np.random.random((num_samples, units)) 218 model.train_on_batch([inputs] + initial_state, targets) 229 initial_state = [keras.backend.random_normal_variable( 233 output = layer(inputs, initial_state=initial_state) [all …]
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D | wrappers.py | 577 def __call__(self, inputs, initial_state=None, constants=None, **kwargs): argument 579 inputs, initial_state, constants = _standardize_args( 580 inputs, initial_state, constants, self._num_constants) 584 initial_state = inputs[1:] 587 if initial_state is None and constants is None: 593 if initial_state is not None: 595 num_states = len(initial_state) 601 'Found: ' + str(initial_state)) 603 kwargs['initial_state'] = initial_state 604 additional_inputs += initial_state [all …]
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D | cudnn_recurrent.py | 79 def call(self, inputs, mask=None, training=None, initial_state=None): argument 89 initial_state = inputs[1:] 91 elif initial_state is not None: 94 initial_state = self.states 96 initial_state = self.get_initial_state(inputs) 98 if len(initial_state) != len(self.states): 100 ' states but was passed ' + str(len(initial_state)) + 106 output, states = self._process_batch(inputs, initial_state) 268 def _process_batch(self, inputs, initial_state): argument 271 input_h = initial_state[0] [all …]
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D | convolutional_recurrent.py | 276 initial_state = backend.zeros_like(inputs) 278 initial_state = backend.sum(initial_state, axis=1) 281 initial_state = self.cell.input_conv(initial_state, 283 initial_state.dtype), 287 return [initial_state for _ in self.cell.state_size] 289 return [initial_state] 295 initial_state=None, argument 299 inputs, initial_state, constants = self._process_inputs( 300 inputs, initial_state, constants) 324 initial_state, [all …]
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D | recurrent.py | 661 def __call__(self, inputs, initial_state=None, constants=None, **kwargs): argument 662 inputs, initial_state, constants = _standardize_args(inputs, 663 initial_state, 667 if initial_state is None and constants is None: 676 if initial_state is not None: 677 additional_inputs += initial_state 679 lambda s: InputSpec(shape=backend.int_shape(s)), initial_state) 721 if initial_state is not None: 722 kwargs['initial_state'] = initial_state 731 initial_state=None, argument [all …]
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D | lstm_v2_test.py | 144 initial_state = [keras.Input((units,)) for _ in range(num_states)] 146 if len(initial_state) == 1: 147 output = layer(inputs, initial_state=initial_state[0]) 149 output = layer(inputs, initial_state=initial_state) 151 any(initial_state[0] is t 154 model = keras.models.Model([inputs] + initial_state, output) 160 initial_state = [ 164 model.train_on_batch([inputs] + initial_state, targets) 175 initial_state = [ 180 output = layer(inputs, initial_state=initial_state) [all …]
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D | cudnn_recurrent_test.py | 134 initial_state = [keras.Input((units,)) for _ in range(num_states)] 136 if len(initial_state) == 1: 137 output = layer(inputs, initial_state=initial_state[0]) 139 output = layer(inputs, initial_state=initial_state) 141 any(initial_state[0] is t 144 model = keras.models.Model([inputs] + initial_state, output) 151 initial_state = [ 155 model.fit([inputs] + initial_state, targets)
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D | recurrent_v2.py | 418 def call(self, inputs, mask=None, training=None, initial_state=None): argument 426 inputs, initial_state, _ = self._process_inputs(inputs, initial_state, None) 446 initial_state, 458 inputs, initial_state, training, mask, row_lengths) 477 def _defun_gru_call(self, inputs, initial_state, training, mask, argument 491 'init_h': _read_variable_value(initial_state[0]), 506 'init_h': _read_variable_value(initial_state[0]), 1145 def call(self, inputs, mask=None, training=None, initial_state=None): argument 1153 inputs, initial_state, _ = self._process_inputs(inputs, initial_state, None) 1174 initial_state, [all …]
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D | recurrent_test.py | 502 y = layer(x, initial_state=s, constants=c) 523 y = layer(x, initial_state=s, constants=c) 550 y = layer(x, initial_state=s, constants=c) 567 y = layer(x, initial_state=s, constants=c) 661 output = layer_class(units)(input2, initial_state=state) 998 y = layer(x, initial_state=s) 1020 layer(x, initial_state=s) 1056 initial_state = cell.get_initial_state(inputs, None, None) 1057 self.assertEqual(initial_state.shape.as_list(), [None, 5]) 1058 self.assertEqual(initial_state.dtype, inputs.dtype) [all …]
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/external/tensorflow/tensorflow/compiler/xla/client/lib/ |
D | prng.h | 44 using BitGeneratorTy = std::function<RngOutput(XlaOp key, XlaOp initial_state, 50 RngOutput ThreeFryBitGenerator(XlaOp key, XlaOp initial_state, 61 RngOutput PhiloxBitGenerator(XlaOp key, XlaOp initial_state, 70 RngOutput UniformFloatingPointDistribution(XlaOp key, XlaOp initial_state, 77 RngOutput UniformIntDistribution(XlaOp key, XlaOp initial_state, 84 RngOutput NormalFloatingPointDistribution(XlaOp key, XlaOp initial_state,
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D | prng.cc | 141 XlaOp initial_state, const Shape& shape) { in GetThreeFryInputsAndUpdatedState() argument 142 XlaBuilder* builder = initial_state.builder(); in GetThreeFryInputsAndUpdatedState() 145 auto input_u64 = Broadcast(Reshape(initial_state, {}), shape.dimensions()); in GetThreeFryInputsAndUpdatedState() 157 initial_state + ConstantR0<uint64>(builder, ShapeUtil::ElementsIn(shape)); in GetThreeFryInputsAndUpdatedState() 244 RngOutput ThreeFryRngBit32(XlaOp key, XlaOp initial_state, const Shape& shape) { in ThreeFryRngBit32() argument 247 GetThreeFryInputsAndUpdatedState(initial_state, shape_pair.half_shape); in ThreeFryRngBit32() 256 RngOutput ThreeFryRngBit64(XlaOp key, XlaOp initial_state, const Shape& shape) { in ThreeFryRngBit64() argument 258 GetThreeFryInputsAndUpdatedState(initial_state, shape); in ThreeFryRngBit64() 392 XlaOp initial_state, in GeneratePhiloxBits() argument 395 state = Uint128ToUint32s(Uint128FromOp(initial_state)); in GeneratePhiloxBits() [all …]
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/external/tensorflow/tensorflow/python/data/experimental/ops/ |
D | scan_ops.py | 26 def scan(initial_state, scan_func): argument 47 return dataset.scan(initial_state=initial_state, scan_func=scan_func)
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/external/tensorflow/tensorflow/python/data/kernel_tests/ |
D | scan_test.py | 50 initial_state=start, scan_func=scan_fn) 74 initial_state=[0, 1], 122 initial_state=start, scan_func=scan_fn) 153 initial_state=start, scan_func=scan_fn) 191 dataset_ops.Dataset.range(6).scan(initial_state=start, scan_func=scan_fn) 206 initial_state=([0], 1), scan_func=_scan_fn) 235 initial_state=constant_op.constant(1, dtype=dtypes.int32), 250 initial_state=constant_op.constant(1, dtype=dtypes.int32), 264 initial_state=constant_op.constant(1), scan_func=scan_fn) 304 initial_state=[0, 1],
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/external/tensorflow/tensorflow/python/ops/ |
D | rnn.py | 442 initial_state=initial_state_fw, 481 initial_state=initial_state_bw, 508 initial_state=None, argument 716 if initial_state is not None: 717 state = initial_state 766 initial_state, argument 805 state = initial_state 1162 initial_state, emit_structure, init_loop_state) = loop_fn( 1184 nest.assert_same_structure(initial_state, cell.state_size) 1185 state = initial_state [all …]
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/external/rust/crates/ring/src/ |
D | digest.rs | 55 state: algorithm.initial_state, in new() 284 initial_state: State, field 318 initial_state: State { 343 initial_state: State { 368 initial_state: State { 393 initial_state: State { 422 initial_state: State { 579 state: alg.initial_state, in nearly_full_context()
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/external/rust/crates/grpcio-sys/grpc/src/core/ext/filters/client_channel/ |
D | subchannel_interface.h | 70 grpc_connectivity_state initial_state, 109 grpc_connectivity_state initial_state, in WatchConnectivityState() argument 111 return wrapped_subchannel_->WatchConnectivityState(initial_state, in WatchConnectivityState()
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/external/elfutils/libdw/ |
D | cfi.c | 316 cfi_assert (cie->initial_state != NULL); in execute_cfi() 321 if (cie->initial_state->nregs > operand) in execute_cfi() 322 fs->regs[operand] = cie->initial_state->regs[operand]; in execute_cfi() 396 cfi_assert (cie->initial_state != NULL); in execute_cfi() 444 if (likely (cie->initial_state != NULL)) in cie_cache_initial_state() 501 cie->initial_state = cie_fs; in cie_cache_initial_state() 515 Dwarf_Frame *fs = duplicate_frame_state (fde->cie->initial_state, NULL); in __libdw_frame_at_address()
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/external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
D | stateless_random_ops.cc | 86 xla::XlaOp initial_state = xla::ConstantR0WithType(builder, xla::U64, 0); in StatelessRngUniform() local 92 key, initial_state, in StatelessRngUniform() 99 key, initial_state, in StatelessRngUniform() 122 xla::XlaOp initial_state = xla::ConstantR0WithType(builder, xla::U64, 0); in StatelessRngUniformFullInt() local 125 GetBitGeneratorForDevice(device_type_string)(key, initial_state, shape); in StatelessRngUniformFullInt() 305 xla::XlaOp initial_state = xla::ConstantR0WithType(builder, xla::U64, 0); in Compile() local 310 key, initial_state, GetBitGeneratorForDevice(device_type_string_), in Compile()
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D | stateful_random_ops.cc | 67 xla::XlaOp initial_state, in StatefulRngUniform() argument 75 key, initial_state, BitGen(alg), minval, maxval, shape); in StatefulRngUniform() 80 return UniformIntDistribution(key, initial_state, BitGen(alg), minval, in StatefulRngUniform() 88 initial_state}; in StatefulRngUniform() 93 xla::XlaOp initial_state, in StatefulRngUniformFullInt() argument 96 xla::RngOutput output = BitGen(alg)(key, initial_state, shape); in StatefulRngUniformFullInt() 111 initial_state}; in StatefulRngUniformFullInt()
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/external/tensorflow/tensorflow/core/api_def/base_api/ |
D | api_def_ReduceDataset.pbtxt | 11 name: "initial_state" 22 `new_state` must match the structure of `initial_state`.
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/external/rust/crates/grpcio-sys/grpc/src/core/lib/transport/ |
D | connectivity_state.cc | 118 grpc_connectivity_state initial_state, in AddWatcher() argument 125 if (initial_state != current_state) { in AddWatcher() 129 name_, this, watcher.get(), ConnectivityStateName(initial_state), in AddWatcher()
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/external/libchrome/base/threading/ |
D | thread_perftest.cc | 236 WaitableEvent::InitialState initial_state) in ConditionVariableEvent() argument 239 DCHECK_EQ(WaitableEvent::InitialState::NOT_SIGNALED, initial_state); in ConditionVariableEvent() 276 WaitableEvent::InitialState initial_state) { in PthreadEvent() argument 278 DCHECK_EQ(WaitableEvent::InitialState::NOT_SIGNALED, initial_state); in PthreadEvent()
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/external/webrtc/modules/audio_processing/aec3/ |
D | dominant_nearend_detector.cc | 36 bool initial_state) { in Update() argument 51 if ((!initial_state || use_during_initial_phase_) && in Update()
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/external/libchrome/base/synchronization/ |
D | waitable_event_posix.cc | 46 InitialState initial_state) in WaitableEvent() argument 47 : kernel_(new WaitableEventKernel(reset_policy, initial_state)) {} in WaitableEvent() 373 InitialState initial_state) in WaitableEventKernel() argument 375 signaled_(initial_state == InitialState::SIGNALED) {} in WaitableEventKernel()
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