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Searched refs:max_time (Results 1 – 25 of 27) sorted by relevance

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/frameworks/ml/nn/runtime/test/specs/V1_2/
Dbidirectional_sequence_rnn.mod.py83 max_time = 16 variable
210 num_batches, max_time, input_size)),
234 num_batches, max_time, fw_num_units)),
237 num_batches, max_time, bw_num_units)),
260 max_time, num_batches, input_size)),
284 max_time, num_batches, fw_num_units)),
287 max_time, num_batches, bw_num_units)),
292 [num_batches, max_time, input_size]),
305 [num_batches, max_time, fw_num_units]),
307 [num_batches, max_time, bw_num_units]),
[all …]
Dunidirectional_sequence_rnn.mod.py39 def convert_to_time_major(tensor, num_batches, max_time, input_size): argument
40 return np.array(tensor).reshape([num_batches, max_time,
45 max_time = 16 variable
142 num_batches, max_time, input_size)),
151 num_batches, max_time, num_units)),
164 max_time, num_batches, input_size)),
173 max_time, num_batches, num_units)),
176 input_data=convert_to_time_major(input_data, num_batches, max_time,
182 output_data=convert_to_time_major(output_data, num_batches, max_time,
Dunidirectional_sequence_lstm_layer_norm_cifg_peephole.mod.py23 max_time = 3 variable
30 input = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d}" % (max_time, n_batch, n_input))
90 output = Output("output", "TENSOR_FLOAT32", "{%d, %d, %d}" % (max_time, n_batch, n_output))
Dunidirectional_sequence_lstm_batch_major_peephole_projection_bias.mod.py24 max_time = 4 variable
30 input = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d}" % (n_batch, max_time, n_input))
86 output = Output("output", "TENSOR_FLOAT32", "{%d, %d, %d}" % (n_batch, max_time, n_output))
Dunidirectional_sequence_lstm_1step.mod.py23 max_time = 1 variable
30 input = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d}" % (max_time, n_batch, n_input))
90 output = Output("output", "TENSOR_FLOAT32", "{%d, %d, %d}" % (max_time, n_batch, n_output))
Dunidirectional_sequence_lstm_f16_norm_peephole_projection.mod.py23 max_time = 3 variable
30 input = Input("input", "TENSOR_FLOAT16", "{%d, %d, %d}" % (max_time, n_batch, n_input))
90 output = Output("output", "TENSOR_FLOAT16", "{%d, %d, %d}" % (max_time, n_batch, n_output))
Dunidirectional_sequence_lstm_cifg_peephole.mod.py23 max_time = 3 variable
30 input = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d}" % (max_time, n_batch, n_input))
90 output = Output("output", "TENSOR_FLOAT32", "{%d, %d, %d}" % (max_time, n_batch, n_output))
Dunidirectional_sequence_lstm_f16_batch_major.mod.py24 max_time = 3 variable
31 input = Input("input", "TENSOR_FLOAT16", "{%d, %d, %d}" % (n_batch, max_time, n_input))
91 output = Output("output", "TENSOR_FLOAT16", "{%d, %d, %d}" % (n_batch, max_time, n_output))
Dunidirectional_sequence_lstm_norm_peephole_projection.mod.py23 max_time = 3 variable
30 input = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d}" % (max_time, n_batch, n_input))
90 output = Output("output", "TENSOR_FLOAT32", "{%d, %d, %d}" % (max_time, n_batch, n_output))
Dunidirectional_sequence_lstm_batch_major_norm_peephole_projection.mod.py23 max_time = 3 variable
30 input = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d}" % (n_batch, max_time, n_input))
90 output = Output("output", "TENSOR_FLOAT32", "{%d, %d, %d}" % (n_batch, max_time, n_output))
Dbidirectional_sequence_lstm_norm_fw_output.mod.py25 max_time = 3 variable
27 input = Input("input", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, n_input))
117 aux_input = Input("input", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, n_input))
147 fw_output=Output("fw_output", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, n_output…
148 bw_output=IgnoredOutput("bw_output", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, n…
431 bw_golden_output_data = [0 for _ in range(n_batch * max_time * n_output)]
Dbidirectional_sequence_lstm_cifg_peephole.mod.py24 max_time = 3 variable
26 input = Input("input", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, n_input))
116 aux_input = Input("input", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, n_input))
146 fw_output=Output("fw_output", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, n_output…
147 bw_output=Output("bw_output", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, n_output…
Dbidirectional_sequence_lstm_float16_batch_major.mod.py24 max_time = 3 variable
26 input = Input("input", "TENSOR_FLOAT16", "{{{}, {}, {}}}".format(n_batch, max_time, n_input))
116 aux_input = Input("input", "TENSOR_FLOAT16", "{{{}, {}, {}}}".format(n_batch, max_time, n_input))
146 fw_output=Output("fw_output", "TENSOR_FLOAT16", "{{{}, {}, {}}}".format(n_batch, max_time, n_output…
147 bw_output=Output("bw_output", "TENSOR_FLOAT16", "{{{}, {}, {}}}".format(n_batch, max_time, n_output…
Dbidirectional_sequence_lstm.mod.py24 max_time = 3 variable
26 input = Input("input", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, n_input))
116 aux_input = Input("input", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, n_input))
146 fw_output=Output("fw_output", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, n_output…
147 bw_output=Output("bw_output", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, n_output…
Dbidirectional_sequence_lstm_aux_input.mod.py26 max_time = 3 variable
28 input = Input("input", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, n_input))
118 aux_input = Input("input", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, n_input))
148 fw_output=Output("fw_output", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, n_output…
149 bw_output=Output("bw_output", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, n_output…
Dbidirectional_sequence_lstm_float16_batch_major_aux_input.mod.py27 max_time = 3 variable
29 input = Input("input", "TENSOR_FLOAT16", "{{{}, {}, {}}}".format(n_batch, max_time, n_input))
119 aux_input = Input("input", "TENSOR_FLOAT16", "{{{}, {}, {}}}".format(n_batch, max_time, n_input))
149 fw_output=Output("fw_output", "TENSOR_FLOAT16", "{{{}, {}, {}}}".format(n_batch, max_time, n_output…
150 bw_output=Output("bw_output", "TENSOR_FLOAT16", "{{{}, {}, {}}}".format(n_batch, max_time, n_output…
Dbidirectional_sequence_lstm_float16_batch_major_merge_outputs.mod.py25 max_time = 3 variable
27 input = Input("input", "TENSOR_FLOAT16", "{{{}, {}, {}}}".format(n_batch, max_time, n_input))
117 aux_input = Input("input", "TENSOR_FLOAT16", "{{{}, {}, {}}}".format(n_batch, max_time, n_input))
147 fw_output=Output("fw_output", "TENSOR_FLOAT16", "{{{}, {}, {}}}".format(n_batch, max_time,
Dbidirectional_sequence_lstm_merge_outputs.mod.py25 max_time = 3 variable
27 input = Input("input", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, n_input))
117 aux_input = Input("input", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, n_input))
147 fw_output=Output("fw_output", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, 2 * n_ou…
/frameworks/ml/nn/runtime/test/specs/V1_3/
Dbidirectional_sequence_rnn_1_3.mod.py89 max_time = 16 variable
216 "{{ {}, {}, {} }}".format(num_batches, max_time, input_size)),
235 "{{ {}, {}, {} }}".format(num_batches, max_time, input_size)),
240 "{{ {}, {}, {} }}".format(num_batches, max_time, fw_num_units)),
243 "{{ {}, {}, {} }}".format(num_batches, max_time, bw_num_units)),
266 "{{ {}, {}, {} }}".format(max_time, num_batches, input_size)),
285 "{{ {}, {}, {} }}".format(max_time, num_batches, input_size)),
290 "{{ {}, {}, {} }}".format(max_time, num_batches, fw_num_units)),
293 "{{ {}, {}, {} }}".format(max_time, num_batches, bw_num_units)),
307 [num_batches, max_time, input_size]),
[all …]
Dbidirectional_sequence_rnn_state_output.mod.py91 max_time = 16 variable
221 "{{ {}, {}, {} }}".format(num_batches, max_time, input_size)),
246 "{{ {}, {}, {} }}".format(num_batches, max_time, fw_num_units)),
249 "{{ {}, {}, {} }}".format(num_batches, max_time, bw_num_units)),
277 "{{ {}, {}, {} }}".format(max_time, num_batches, input_size)),
299 "{{ {}, {}, {} }}".format(max_time, num_batches, fw_num_units)),
302 "{{ {}, {}, {} }}".format(max_time, num_batches, bw_num_units)),
313 [num_batches, max_time, input_size]),
326 [num_batches, max_time, fw_num_units]),
328 [num_batches, max_time, bw_num_units]),
[all …]
Dunidirectional_sequence_rnn.mod.py42 def convert_to_time_major(tensor, num_batches, max_time, input_size): argument
43 return np.array(tensor).reshape([num_batches, max_time, input_size
48 max_time = 16 variable
180 "{{{}, {}, {}}}".format(num_batches, max_time, input_size)),
189 "{{{}, {}, {}}}".format(num_batches, max_time, num_units)),
206 "{{{}, {}, {}}}".format(max_time, num_batches, input_size)),
215 "{{{}, {}, {}}}".format(max_time, num_batches, num_units)),
220 input_data=convert_to_time_major(input_data, num_batches, max_time,
226 output_data=convert_to_time_major(output_data, num_batches, max_time,
Dbidirectional_sequence_lstm.mod.py27 max_time, argument
88 "{{{}, {}, {}}}".format(max_time, n_batch, n_fw_input))
191 "{{{}, {}, {}}}".format(max_time, n_batch, n_bw_input))
230 "{{{}, {}, {}}}".format(max_time, n_batch, n_output))
232 "{{{}, {}, {}}}".format(max_time, n_batch, n_output))
237 "{{{}, {}, {}}}".format(max_time, n_batch, n_output))
460 max_time = 3 variable
469 max_time=max_time,
508 max_time = 3 variable
517 max_time=max_time,
[all …]
Dunidirectional_sequence_lstm_layer_norm_cifg_peephole_state_output.mod.py23 max_time = 3 variable
31 "{%d, %d, %d}" % (max_time, n_batch, n_input))
90 "{%d, %d, %d}" % (max_time, n_batch, n_output))
181 golden_output[(max_time - 1) * (n_batch * n_output):],
Dbidirectional_sequence_lstm_state_output.mod.py24 max_time = 3 variable
26 input = Input("input", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, n_input))
116 aux_input = Input("input", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, n_input))
146 fw_output=Output("fw_output", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, n_output…
147 bw_output=Output("bw_output", "TENSOR_FLOAT32", "{{{}, {}, {}}}".format(max_time, n_batch, n_output…
/frameworks/base/cmds/incident_helper/testdata/
Dkernel_wakeups.txt1 name active_count event_count wakeup_count expire_count active_since total_time max_time last_chan…

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