Searched refs:output_size (Results 1 – 6 of 6) sorted by relevance
/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/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/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/Bluetooth/jni/ |
D | com_android_bluetooth_btservice_AdapterService.cpp | 1534 jsize output_size = output.size() * sizeof(char); in dumpMetricsNative() local 1535 jbyteArray output_bytes = env->NewByteArray(output_size); in dumpMetricsNative() 1536 env->SetByteArrayRegion(output_bytes, 0, output_size, in dumpMetricsNative() 1581 jsize output_size = output.size() * sizeof(char); in obfuscateAddressNative() local 1582 jbyteArray output_bytes = env->NewByteArray(output_size); in obfuscateAddressNative() 1583 env->SetByteArrayRegion(output_bytes, 0, output_size, in obfuscateAddressNative()
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/packages/modules/NeuralNetworks/tools/api/ |
D | types.spec | 1664 * A 2-D tensor of shape [num_units, output_size], where “output_size” 1668 * A 2-D tensor of shape [num_units, output_size]. 1670 * A 2-D tensor of shape [num_units, output_size]. 1672 * A 2-D tensor of shape [num_units, output_size]. 1688 * A 2-D tensor of shape [output_size, num_units]. 1690 * A 1-D tensor of shape [output_size]. 1692 * A 2-D tensor of shape [batch_size, output_size]. 1747 * A 2-D tensor of shape [batch_size, output_size]. 1751 * A 2-D tensor of shape [batch_size, output_size]. This is effectively
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