| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| D | qlstm_projection.mod.py | 25 output_size = 3 variable
36 RecurrentWeightsType = ("TENSOR_QUANT8_SYMM", [num_units, output_size], 0.00784314, 0)
55 ("TENSOR_QUANT8_SYMM", [output_size, num_units], 0.00392157, 0))
56 projection_bias = Input("projection_bias", ("TENSOR_INT32", [output_size]))
58 OutputStateType = ("TENSOR_QUANT8_ASYMM_SIGNED", [batch_size, output_size], 3.05176e-05, 0)
129 projection_bias: [ 0 for _ in range(output_size) ],
134 output_state_in: [ 0 for _ in range(batch_size * output_size) ],
186 projection_bias: [ 0 for _ in range(output_size) ],
191 output_state_in: [ 0 for _ in range(batch_size * output_size) ],
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| D | qlstm_noprojection.mod.py | 25 output_size = 4 variable
36 RecurrentWeightsType = ("TENSOR_QUANT8_SYMM", [num_units, output_size], 0.00784314, 0)
55 ("TENSOR_QUANT8_SYMM", [output_size, num_units], 0.00392157, 0))
56 projection_bias = Input("projection_bias", ("TENSOR_INT32", [output_size]))
58 OutputStateType = ("TENSOR_QUANT8_ASYMM_SIGNED", [batch_size, output_size], 3.05176e-05, 0)
128 output_state_in: [ 0 for _ in range(batch_size * output_size) ],
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| /packages/apps/Camera2/jni/ |
| D | tinyplanet.cc | 135 jint output_size, jfloat scale, jfloat angle) in Java_com_android_camera_tinyplanet_TinyPlanetNative_process() argument
144 StereographicProjection(scale, angle, rgb_in, width, height, rgb_out, output_size, output_size); in Java_com_android_camera_tinyplanet_TinyPlanetNative_process()
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| /packages/apps/Gallery2/jni/filters/ |
| D | tinyplanet.cc | 132 …, jobject bitmap_in, jint width, jint height, jobject bitmap_out, jint output_size, jfloat scale,j… in JNIFUNCF() argument
141 StereographicProjection(scale,angle, rgb_in, width, height, rgb_out, output_size, output_size); in JNIFUNCF()
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| /packages/modules/adb/ |
| D | test_device.py | 1791 output_size = int(reader.read(4), 16)
1792 output = reader.read(output_size)
1804 output_size = int(reader.read(4), 16)
1805 output = reader.read(output_size)
1817 output_size = int(reader.read(4), 16)
1818 output = reader.read(output_size)
1830 output_size = int(proc.stdout.read(4).decode("utf-8"), 16)
1831 proto = proc.stdout.read(output_size)
1861 output_size = int(proc.stdout.read(4).decode("utf-8"), 16)
1862 proto = proc.stdout.read(output_size)
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| /packages/modules/Bluetooth/android/app/jni/ |
| D | com_android_bluetooth_btservice_AdapterService.cpp | 1697 jsize output_size = output.size() * sizeof(char); in dumpMetricsNative() local
1698 jbyteArray output_bytes = env->NewByteArray(output_size); in dumpMetricsNative()
1699 env->SetByteArrayRegion(output_bytes, 0, output_size, in dumpMetricsNative()
1723 jsize output_size = output.size() * sizeof(char); in obfuscateAddressNative() local
1724 jbyteArray output_bytes = env->NewByteArray(output_size); in obfuscateAddressNative()
1725 env->SetByteArrayRegion(output_bytes, 0, output_size, in obfuscateAddressNative()
|
| /packages/modules/NeuralNetworks/tools/api/ |
| D | types.spec | 1714 * A 2-D tensor of shape [num_units, output_size], where “output_size”
1718 * A 2-D tensor of shape [num_units, output_size].
1720 * A 2-D tensor of shape [num_units, output_size].
1722 * A 2-D tensor of shape [num_units, output_size].
1738 * A 2-D tensor of shape [output_size, num_units].
1740 * A 1-D tensor of shape [output_size].
1742 * A 2-D tensor of shape [batch_size, output_size].
1797 * A 2-D tensor of shape [batch_size, output_size].
1801 * A 2-D tensor of shape [batch_size, output_size]. This is effectively
5934 * A 2-D tensor of shape [num_units, output_size], where “output_size”
[all …]
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