| /external/webrtc/webrtc/test/fuzzers/ |
| audio_decoder_ilbc_fuzzer.cc | 19 int16_t output[kAllocatedOuputSizeSamples]; local
20 FuzzAudioDecoder(data, size, &dec, kSampleRateHz, sizeof(output), output);
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| audio_decoder_isac_fuzzer.cc | 19 int16_t output[kAllocatedOuputSizeSamples]; local
20 FuzzAudioDecoder(data, size, &dec, sample_rate_hz, sizeof(output), output);
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| audio_decoder_isacfix_fuzzer.cc | 19 int16_t output[kAllocatedOuputSizeSamples]; local
20 FuzzAudioDecoder(data, size, &dec, kSampleRateHz, sizeof(output), output);
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| audio_decoder_opus_fuzzer.cc | 20 int16_t output[kAllocatedOuputSizeSamples]; local
21 FuzzAudioDecoder(data, size, &dec, kSampleRateHz, sizeof(output), output);
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| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| depth_to_space_float_1.mod.py | 4 output = Output("output", "TENSOR_FLOAT32", "{1, 2, 2, 2}") variable
6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output)
12 output0 = {output: # output 0
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| depth_to_space_float_2.mod.py | 4 output = Output("output", "TENSOR_FLOAT32", "{1, 4, 4, 1}") variable
6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output)
12 output0 = {output: # output 0
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| depth_to_space_float_3.mod.py | 4 output = Output("output", "TENSOR_FLOAT32", "{1, 4, 4, 2}") variable
6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output)
16 output0 = {output: # output 0
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| depth_to_space_quant8_1.mod.py | 4 output = Output("output", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 2}, 0.5f, 0") variable
6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output)
12 output0 = {output: # output 0
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| depth_to_space_quant8_2.mod.py | 4 output = Output("output", "TENSOR_QUANT8_ASYMM", "{1, 4, 4, 1}, 0.5f, 0") variable
6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output)
12 output0 = {output: # output 0
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| local_response_norm_float_1.mod.py | 7 output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 6}") variable
9 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
15 output0 = {output: # output 0
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| local_response_norm_float_2.mod.py | 7 output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 6}") variable
9 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
15 output0 = {output: # output 0
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| local_response_norm_float_3.mod.py | 7 output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 6}") variable
9 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
15 output0 = {output: # output 0
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| local_response_norm_float_4.mod.py | 7 output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 6}") variable
9 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
15 output0 = {output: # output 0
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| softmax_float_1.mod.py | 6 output = Output("output", "TENSOR_FLOAT32", "{1, 4}") variable
9 model = model.Operation("SOFTMAX", i1, beta).To(output)
14 output0 = {output: [.25, .25, .25, .25]}
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| softmax_float_2.mod.py | 6 output = Output("output", "TENSOR_FLOAT32", "{2, 5}") variable
9 model = model.Operation("SOFTMAX", i1, beta).To(output)
16 output0 = {output:
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| softmax_quant8_1.mod.py | 6 output = Output("output", "TENSOR_QUANT8_ASYMM", "{1, 4}, 0.00390625f, 0") variable
9 model = model.Operation("SOFTMAX", i1, beta).To(output)
14 output0 = {output: [64, 64, 64, 64]}
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| softmax_quant8_2.mod.py | 6 output = Output("output", "TENSOR_QUANT8_ASYMM", "{2, 5}, 0.00390625f, 0") variable
9 model = model.Operation("SOFTMAX", i1, beta).To(output)
16 output0 = {output:
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| space_to_depth_float_1.mod.py | 4 output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 8}") variable
6 model = model.Operation("SPACE_TO_DEPTH", i1, block).To(output)
12 output0 = {output: # output 0
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| space_to_depth_float_2.mod.py | 4 output = Output("output", "TENSOR_FLOAT32", "{1, 2, 2, 4}") variable
6 model = model.Operation("SPACE_TO_DEPTH", i1, block).To(output)
12 output0 = {output: # output 0
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| space_to_depth_float_3.mod.py | 4 output = Output("output", "TENSOR_FLOAT32", "{1, 2, 2, 8}") variable
6 model = model.Operation("SPACE_TO_DEPTH", i1, block).To(output)
15 output0 = {output: # output 0
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| space_to_depth_quant8_1.mod.py | 4 output = Output("output", "TENSOR_QUANT8_ASYMM", "{1, 1, 1, 8}, 0.5f, 0") variable
6 model = model.Operation("SPACE_TO_DEPTH", i1, block).To(output)
12 output0 = {output: # output 0
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| space_to_depth_quant8_2.mod.py | 4 output = Output("output", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 4}, 0.5f, 0") variable
6 model = model.Operation("SPACE_TO_DEPTH", i1, block).To(output)
12 output0 = {output: # output 0
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| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| batch_to_space.mod.py | 4 output = Output("output", "TENSOR_FLOAT32", "{1, 2, 2, 2}") variable
6 model = model.Operation("BATCH_TO_SPACE_ND", i1, block).To(output)
12 output0 = {output: # output 0
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| batch_to_space_float_1.mod.py | 4 output = Output("output", "TENSOR_FLOAT32", "{1, 4, 4, 1}") variable
6 model = model.Operation("BATCH_TO_SPACE_ND", i1, block).To(output)
12 output0 = {output: # output 0
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| batch_to_space_float_1_relaxed.mod.py | 21 output = Output("output", "TENSOR_FLOAT32", "{1, 4, 4, 1}") variable
23 model = model.Operation("BATCH_TO_SPACE_ND", i1, block).To(output)
30 output0 = {output: # output 0
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