| /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()
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| /external/v8/src/compiler/backend/x64/ |
| D | unwinding-info-writer-x64.cc | 20 const BlockInitialState* initial_state = in BeginInstructionBlock() local
22 if (!initial_state) return; in BeginInstructionBlock()
23 if (initial_state->register_ != eh_frame_writer_.base_register() && in BeginInstructionBlock()
24 initial_state->offset_ != eh_frame_writer_.base_offset()) { in BeginInstructionBlock()
26 eh_frame_writer_.SetBaseAddressRegisterAndOffset(initial_state->register_, in BeginInstructionBlock()
27 initial_state->offset_); in BeginInstructionBlock()
28 } else if (initial_state->register_ != eh_frame_writer_.base_register()) { in BeginInstructionBlock()
30 eh_frame_writer_.SetBaseAddressRegister(initial_state->register_); in BeginInstructionBlock()
31 } else if (initial_state->offset_ != eh_frame_writer_.base_offset()) { in BeginInstructionBlock()
33 eh_frame_writer_.SetBaseAddressOffset(initial_state->offset_); in BeginInstructionBlock()
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| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | lstm_test.py | 192 initial_state = [keras.Input((units,)) for _ in range(num_states)]
194 if len(initial_state) == 1:
195 output = layer(inputs, initial_state=initial_state[0])
197 output = layer(inputs, initial_state=initial_state)
199 any(initial_state[0] is t
202 model = keras.models.Model([inputs] + initial_state, output)
210 initial_state = [np.random.random((num_samples, units))
213 model.train_on_batch([inputs] + initial_state, targets)
224 initial_state = [keras.backend.random_normal_variable(
228 output = layer(inputs, initial_state=initial_state)
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| D | convolutional_recurrent.py | 280 initial_state = K.zeros_like(inputs)
282 initial_state = K.sum(initial_state, axis=1)
285 initial_state = self.cell.input_conv(initial_state,
287 initial_state.dtype),
291 return [initial_state for _ in self.cell.state_size]
293 return [initial_state]
295 def __call__(self, inputs, initial_state=None, constants=None, **kwargs): argument
296 inputs, initial_state, constants = _standardize_args(
297 inputs, initial_state, constants, self._num_constants)
299 if initial_state is None and constants is None:
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| D | wrappers.py | 531 def __call__(self, inputs, initial_state=None, constants=None, **kwargs): argument
533 inputs, initial_state, constants = _standardize_args(
534 inputs, initial_state, constants, self._num_constants)
538 initial_state = inputs[1:]
541 if initial_state is None and constants is None:
547 if initial_state is not None:
549 num_states = len(initial_state)
555 'Found: ' + str(initial_state))
557 kwargs['initial_state'] = initial_state
558 additional_inputs += initial_state
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| D | cudnn_recurrent.py | 83 def call(self, inputs, mask=None, training=None, initial_state=None): argument
93 initial_state = inputs[1:]
95 elif initial_state is not None:
98 initial_state = self.states
100 initial_state = self.get_initial_state(inputs)
102 if len(initial_state) != len(self.states):
104 ' states but was passed ' + str(len(initial_state)) +
110 output, states = self._process_batch(inputs, initial_state)
271 def _process_batch(self, inputs, initial_state): argument
274 input_h = initial_state[0]
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| D | recurrent.py | 645 def __call__(self, inputs, initial_state=None, constants=None, **kwargs): argument
646 inputs, initial_state, constants = _standardize_args(inputs,
647 initial_state,
651 if initial_state is None and constants is None:
660 if initial_state is not None:
661 additional_inputs += initial_state
663 lambda s: InputSpec(shape=K.int_shape(s)), initial_state)
701 if initial_state is not None:
702 kwargs['initial_state'] = initial_state
711 initial_state=None, argument
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| D | lstm_v2_test.py | 147 initial_state = [keras.Input((units,)) for _ in range(num_states)]
149 if len(initial_state) == 1:
150 output = layer(inputs, initial_state=initial_state[0])
152 output = layer(inputs, initial_state=initial_state)
154 any(initial_state[0] is t
157 model = keras.models.Model([inputs] + initial_state, output)
163 initial_state = [
167 model.train_on_batch([inputs] + initial_state, targets)
178 initial_state = [
183 output = layer(inputs, initial_state=initial_state)
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| D | cudnn_recurrent_test.py | 137 initial_state = [keras.Input((units,)) for _ in range(num_states)]
139 if len(initial_state) == 1:
140 output = layer(inputs, initial_state=initial_state[0])
142 output = layer(inputs, initial_state=initial_state)
144 any(initial_state[0] is t
147 model = keras.models.Model([inputs] + initial_state, output)
155 initial_state = [
159 model.fit([inputs] + initial_state, targets)
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| D | recurrent_v2.py | 399 def call(self, inputs, mask=None, training=None, initial_state=None): argument
407 inputs, initial_state, _ = self._process_inputs(inputs, initial_state, None)
425 initial_state,
437 inputs, initial_state, training, mask, row_lengths)
455 def _defun_gru_call(self, inputs, initial_state, training, mask, argument
468 'init_h': initial_state[0],
1101 def call(self, inputs, mask=None, training=None, initial_state=None): argument
1109 inputs, initial_state, _ = self._process_inputs(inputs, initial_state, None)
1128 initial_state,
1149 'init_h': initial_state[0],
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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,
63 RngOutput PhiloxBitGenerator(XlaOp key, XlaOp initial_state, const Shape& shape,
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 | 140 XlaOp initial_state, const int64 size) { in GetThreeFryInputsAndUpdatedState() argument
141 XlaBuilder* builder = initial_state.builder(); in GetThreeFryInputsAndUpdatedState()
143 input_u64 = input_u64 + initial_state; in GetThreeFryInputsAndUpdatedState()
144 XlaOp new_state = initial_state + ConstantR0<uint64>(builder, size); in GetThreeFryInputsAndUpdatedState()
150 RngOutput ThreeFryRngBit32(XlaOp key, XlaOp initial_state, const Shape& shape) { in ThreeFryRngBit32() argument
156 GetThreeFryInputsAndUpdatedState(initial_state, half_size); in ThreeFryRngBit32()
169 RngOutput ThreeFryRngBit64(XlaOp key, XlaOp initial_state, const Shape& shape) { in ThreeFryRngBit64() argument
172 GetThreeFryInputsAndUpdatedState(initial_state, size); in ThreeFryRngBit64()
307 XlaOp initial_state, in GeneratePhiloxBits() argument
317 state = Uint128ToUint32s(Uint128FromOp(initial_state)); in GeneratePhiloxBits()
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| /external/v8/src/compiler/backend/arm/ |
| D | unwinding-info-writer-arm.cc | 20 const BlockInitialState* initial_state = in BeginInstructionBlock() local
22 if (!initial_state) return; in BeginInstructionBlock()
23 if (initial_state->saved_lr_ != saved_lr_) { in BeginInstructionBlock()
25 if (initial_state->saved_lr_) { in BeginInstructionBlock()
30 saved_lr_ = initial_state->saved_lr_; in BeginInstructionBlock()
|
| /external/v8/src/compiler/backend/arm64/ |
| D | unwinding-info-writer-arm64.cc | 23 const BlockInitialState* initial_state = in BeginInstructionBlock() local
25 if (!initial_state) return; in BeginInstructionBlock()
26 if (initial_state->saved_lr_ != saved_lr_) { in BeginInstructionBlock()
28 if (initial_state->saved_lr_) { in BeginInstructionBlock()
34 saved_lr_ = initial_state->saved_lr_; in BeginInstructionBlock()
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| /external/v8/src/compiler/backend/s390/ |
| D | unwinding-info-writer-s390.cc | 19 const BlockInitialState* initial_state = in BeginInstructionBlock() local
21 if (!initial_state) return; in BeginInstructionBlock()
22 if (initial_state->saved_lr_ != saved_lr_) { in BeginInstructionBlock()
24 if (initial_state->saved_lr_) { in BeginInstructionBlock()
30 saved_lr_ = initial_state->saved_lr_; in BeginInstructionBlock()
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| /external/v8/src/compiler/backend/ppc/ |
| D | unwinding-info-writer-ppc.cc | 19 const BlockInitialState* initial_state = in BeginInstructionBlock() local
21 if (!initial_state) return; in BeginInstructionBlock()
22 if (initial_state->saved_lr_ != saved_lr_) { in BeginInstructionBlock()
24 if (initial_state->saved_lr_) { in BeginInstructionBlock()
31 saved_lr_ = initial_state->saved_lr_; in BeginInstructionBlock()
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| /external/toolchain-utils/deprecated/automation/common/ |
| D | state_machine.py | 21 def __init__(self, initial_state): argument
22 assert initial_state in self.state_machine,\
25 self._state = initial_state
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| /external/tensorflow/tensorflow/python/ops/ |
| D | rnn.py | 459 initial_state=initial_state_fw,
498 initial_state=initial_state_bw,
524 initial_state=None, argument
671 if initial_state is not None:
672 state = initial_state
721 initial_state, argument
760 state = initial_state
1122 initial_state, emit_structure, init_loop_state) = loop_fn(
1144 nest.assert_same_structure(initial_state, cell.state_size)
1145 state = initial_state
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| /external/tensorflow/tensorflow/lite/experimental/examples/lstm/ |
| D | rnn.py | 45 initial_state=None, argument
230 if initial_state is not None:
231 state = initial_state
374 initial_state=initial_state_fw,
413 initial_state=initial_state_bw,
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| /external/tensorflow/tensorflow/python/data/experimental/ops/ |
| D | scan_ops.py | 34 initial_state, argument
39 self._initial_state = structure.normalize_element(initial_state)
158 def scan(initial_state, scan_func): argument
179 return _ScanDataset(dataset, initial_state, scan_func)
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| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| D | stateful_random_ops.cc | 49 xla::XlaOp initial_state, in StatefulRngUniform() argument
57 key, initial_state, BitGen(alg), minval, maxval, shape); in StatefulRngUniform()
62 return UniformIntDistribution(key, initial_state, BitGen(alg), minval, in StatefulRngUniform()
70 initial_state}; in StatefulRngUniform()
75 xla::XlaOp initial_state, in StatefulRngUniformFullInt() argument
78 xla::RngOutput output = BitGen(alg)(key, initial_state, shape); in StatefulRngUniformFullInt()
93 initial_state}; in StatefulRngUniformFullInt()
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| /external/elfutils/libdw/ |
| D | cfi.c | 315 cfi_assert (cie->initial_state != NULL); in execute_cfi()
320 if (cie->initial_state->nregs > operand) in execute_cfi()
321 fs->regs[operand] = cie->initial_state->regs[operand]; in execute_cfi()
384 cfi_assert (cie->initial_state != NULL); in execute_cfi()
432 if (likely (cie->initial_state != NULL)) in cie_cache_initial_state()
489 cie->initial_state = cie_fs; in cie_cache_initial_state()
503 Dwarf_Frame *fs = duplicate_frame_state (fde->cie->initial_state, NULL); in __libdw_frame_at_address()
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| /external/tensorflow/tensorflow/examples/saved_model/integration_tests/ |
| D | use_rnn_cell.py | 37 initial_state = cell.get_initial_state(
42 initial_state)
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| D | export_rnn_cell.py | 53 initial_state = root.get_initial_state(
57 initial_state)
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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`.
|