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/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_2/
H A Dbidirectional_sequence_rnn.mod.py84 input_size = 8 variable
210 num_batches, max_time, input_size)),
212 fw_num_units, input_size)),
220 bw_num_units, input_size)),
260 max_time, num_batches, input_size)),
262 fw_num_units, input_size)),
270 bw_num_units, input_size)),
315 fw_num_units, input_size)),
323 bw_num_units, input_size)),
371 fw_num_units, input_size)),
[all …]
H A Dunidirectional_sequence_rnn.mod.py39 def convert_to_time_major(tensor, num_batches, max_time, input_size): argument
41 input_size]).transpose([1, 0, 2]).flatten().tolist()
46 input_size = 8 variable
142 num_batches, max_time, input_size)),
144 num_units, input_size)),
164 max_time, num_batches, input_size)),
166 num_units, input_size)),
177 input_size),
H A Drnn_float16.mod.py19 input_size = 8 variable
23 input = Input("input", "TENSOR_FLOAT16", "{%d, %d}" % (batches, input_size))
24 weights = Input("weights", "TENSOR_FLOAT16", "{%d, %d}" % (units, input_size))
184 input_sequence_size = int(len(test_inputs) / input_size / batches)
189 input_begin = i * input_size
190 input_end = input_begin + input_size
H A Dsvdf_bias_present_float16.mod.py21 input_size = 3 variable
26 input = Input("input", "TENSOR_FLOAT16", "{%d, %d}" % (batches, input_size))
27 weights_feature = Input("weights_feature", "TENSOR_FLOAT16", "{%d, %d}" % (features, input_size))
132 batch_start = i * input_size * batches
133 batch_end = batch_start + input_size * batches
H A Dsvdf_float16.mod.py21 input_size = 3 variable
26 input = Input("input", "TENSOR_FLOAT16", "{%d, %d}" % (batches, input_size))
27 weights_feature = Input("weights_feature", "TENSOR_FLOAT16", "{%d, %d}" % (features, input_size))
132 batch_start = i * input_size * batches
133 batch_end = batch_start + input_size * batches
H A Dsvdf_state_float16.mod.py19 input_size = 3 variable
24 input = Input("input", "TENSOR_FLOAT16", "{%d, %d}" % (batches, input_size))
25 weights_feature = Input("weights_feature", "TENSOR_FLOAT16", "{%d, %d}" % (units, input_size))
/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_3/
H A Dbidirectional_sequence_rnn_state_output.mod.py92 input_size = 8 variable
223 "{{ {}, {} }}".format(fw_num_units, input_size)),
231 "{{ {}, {} }}".format(bw_num_units, input_size)),
279 "{{ {}, {} }}".format(fw_num_units, input_size)),
287 "{{ {}, {} }}".format(bw_num_units, input_size)),
499 input_data=[0] * num_batches * max_time * input_size,
500 fw_weights_data=[0] * fw_num_units * input_size,
504 bw_weights_data=[0] * bw_num_units * input_size,
520 input_data, [num_batches, max_time, input_size])
522 weights_data, [fw_num_units, input_size])
[all …]
H A Dbidirectional_sequence_rnn_1_3.mod.py90 input_size = 8 variable
218 "{{ {}, {} }}".format(fw_num_units, input_size)),
226 "{{ {}, {} }}".format(bw_num_units, input_size)),
235 "{{ {}, {}, {} }}".format(num_batches, max_time, input_size)),
248 fw_weights_data=[0] * fw_num_units * input_size,
268 "{{ {}, {} }}".format(fw_num_units, input_size)),
276 "{{ {}, {} }}".format(bw_num_units, input_size)),
285 "{{ {}, {}, {} }}".format(max_time, num_batches, input_size)),
321 "{{ {}, {} }}".format(fw_num_units, input_size)),
329 "{{ {}, {} }}".format(bw_num_units, input_size)),
[all …]
H A 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
49 input_size = 8 variable
180 "{{{}, {}, {}}}".format(num_batches, max_time, input_size)),
182 "{{{}, {}}}".format(num_units, input_size)),
206 "{{{}, {}, {}}}".format(max_time, num_batches, input_size)),
208 "{{{}, {}}}".format(num_units, input_size)),
221 input_size),
/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_0/
H A Drnn.mod.py19 input_size = 8 variable
23 input = Input("input", "TENSOR_FLOAT32", "{%d, %d}" % (batches, input_size))
24 weights = Input("weights", "TENSOR_FLOAT32", "{%d, %d}" % (units, input_size))
184 input_sequence_size = int(len(test_inputs) / input_size / batches)
189 input_begin = i * input_size
190 input_end = input_begin + input_size
H A Dsvdf.mod.py21 input_size = 3 variable
26 input = Input("input", "TENSOR_FLOAT32", "{%d, %d}" % (batches, input_size))
27 weights_feature = Input("weights_feature", "TENSOR_FLOAT32", "{%d, %d}" % (features, input_size))
132 batch_start = i * input_size * batches
133 batch_end = batch_start + input_size * batches
H A Dsvdf2.mod.py21 input_size = 3 variable
26 input = Input("input", "TENSOR_FLOAT32", "{%d, %d}" % (batches, input_size))
27 weights_feature = Input("weights_feature", "TENSOR_FLOAT32", "{%d, %d}" % (features, input_size))
147 batch_start = i * input_size * batches
148 batch_end = batch_start + input_size * batches
H A Dsvdf_bias_present.mod.py21 input_size = 3 variable
26 input = Input("input", "TENSOR_FLOAT32", "{%d, %d}" % (batches, input_size))
27 weights_feature = Input("weights_feature", "TENSOR_FLOAT32", "{%d, %d}" % (features, input_size))
132 batch_start = i * input_size * batches
133 batch_end = batch_start + input_size * batches
H A Drnn_state.mod.py19 input_size = 8 variable
23 input = Input("input", "TENSOR_FLOAT32", "{%d, %d}" % (batches, input_size))
24 weights = Input("weights", "TENSOR_FLOAT32", "{%d, %d}" % (units, input_size))
H A Dsvdf_state.mod.py19 input_size = 3 variable
24 input = Input("input", "TENSOR_FLOAT32", "{%d, %d}" % (batches, input_size))
25 weights_feature = Input("weights_feature", "TENSOR_FLOAT32", "{%d, %d}" % (units, input_size))
/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_1/
H A Drnn_relaxed.mod.py19 input_size = 8 variable
23 input = Input("input", "TENSOR_FLOAT32", "{%d, %d}" % (batches, input_size))
24 weights = Input("weights", "TENSOR_FLOAT32", "{%d, %d}" % (units, input_size))
185 input_sequence_size = int(len(test_inputs) / input_size / batches)
190 input_begin = i * input_size
191 input_end = input_begin + input_size
H A Dsvdf2_relaxed.mod.py21 input_size = 3 variable
26 input = Input("input", "TENSOR_FLOAT32", "{%d, %d}" % (batches, input_size))
27 weights_feature = Input("weights_feature", "TENSOR_FLOAT32", "{%d, %d}" % (features, input_size))
148 batch_start = i * input_size * batches
149 batch_end = batch_start + input_size * batches
H A Dsvdf_bias_present_relaxed.mod.py21 input_size = 3 variable
26 input = Input("input", "TENSOR_FLOAT32", "{%d, %d}" % (batches, input_size))
27 weights_feature = Input("weights_feature", "TENSOR_FLOAT32", "{%d, %d}" % (features, input_size))
133 batch_start = i * input_size * batches
134 batch_end = batch_start + input_size * batches
H A Dsvdf_relaxed.mod.py21 input_size = 3 variable
26 input = Input("input", "TENSOR_FLOAT32", "{%d, %d}" % (batches, input_size))
27 weights_feature = Input("weights_feature", "TENSOR_FLOAT32", "{%d, %d}" % (features, input_size))
133 batch_start = i * input_size * batches
134 batch_end = batch_start + input_size * batches
H A Drnn_state_relaxed.mod.py19 input_size = 8 variable
23 input = Input("input", "TENSOR_FLOAT32", "{%d, %d}" % (batches, input_size))
24 weights = Input("weights", "TENSOR_FLOAT32", "{%d, %d}" % (units, input_size))
H A Dsvdf_state_relaxed.mod.py19 input_size = 3 variable
24 input = Input("input", "TENSOR_FLOAT32", "{%d, %d}" % (batches, input_size))
25 weights_feature = Input("weights_feature", "TENSOR_FLOAT32", "{%d, %d}" % (units, input_size))
/aosp12/system/media/audio_utils/fuzz/format_fuzzer/
H A Dformat_fuzzer.cpp42 static void fillBuffer(const uint8_t bytes[], int16_t(&buffer)[size], size_t input_size) in fillBuffer() argument
44 if (size < input_size) { in fillBuffer()
45 input_size = size; in fillBuffer()
51 bytes, AUDIO_FORMAT_PCM_8_BIT, input_size); in fillBuffer()
56 buffer, AUDIO_FORMAT_PCM_16_BIT, input_size); in fillBuffer()
/aosp12/art/compiler/optimizing/
H A Dnodes_shared.cc48 int input_size = DataType::Size(input_type); in GetOpInfoFromInstruction() local
49 int min_size = std::min(result_size, input_size); in GetOpInfoFromInstruction()
58 (input_type == DataType::Type::kUint8 && input_size < result_size)) { in GetOpInfoFromInstruction()
61 (input_type == DataType::Type::kUint16 && input_size < result_size)) { in GetOpInfoFromInstruction()
/aosp12/frameworks/av/media/libaudioprocessing/tests/fuzzer/
H A Dlibaudioprocessing_resampler_fuzzer.cpp120 size_t input_size = size - metadata_size; in LLVMFuzzerTestOneInput() local
121 uint8_t input_data[input_size]; in LLVMFuzzerTestOneInput()
122 memcpy(input_data, &data[metadata_size], input_size); in LLVMFuzzerTestOneInput()
124 size_t input_frames = input_size / input_frame_size; in LLVMFuzzerTestOneInput()
/aosp12/system/extras/verity/include/verity/
H A Dhash_tree_builder.h38 uint64_t CalculateSize(uint64_t input_size) const { in CalculateSize() argument
39 return CalculateSize(input_size, block_size_, hash_size_); in CalculateSize()
41 static uint64_t CalculateSize(uint64_t input_size, size_t block_size, size_t hash_size);

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