Searched refs:xi (Results 1 – 6 of 6) sorted by relevance
| /frameworks/ml/nn/runtime/test/specs/V1_3/ |
| D | while_sum_of_powers.mod.py | 35 xi = Input("xi", DataType)
41 model.IdentifyInputs(xi, j, i, x)
47 xi = Input("xi", DataType)
54 model.IdentifyInputs(xi, j, i, x)
56 model.Operation("MUL", xi, x, 0).To(xi_out)
83 xi = Internal("xi", DataType)
87 model.Operation("WHILE", cond, body, xi_init, j_init, i, x).To(xi)
89 model.Operation("ADD", sum, xi, 0).To(sum_out)
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| D | while_sum_of_powers_quant8_signed.mod.py | 39 xi = Input("xi", DataType10)
45 model.IdentifyInputs(xi, j, i, x)
51 xi = Input("xi", DataType10)
58 model.IdentifyInputs(xi, j, i, x)
60 model.Operation("MUL", xi, x, 0).To(xi_out)
87 xi = Internal("xi", DataType10)
93 model.Operation("WHILE", cond, body, xi_init, j_init, i, x).To(xi)
95 model.Operation("ADD", sum, xi, 0).To(sum_out)
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| D | while_sum_of_powers_quant8.mod.py | 39 xi = Input("xi", DataType10)
45 model.IdentifyInputs(xi, j, i, x)
51 xi = Input("xi", DataType10)
58 model.IdentifyInputs(xi, j, i, x)
60 model.Operation("MUL", xi, x, 0).To(xi_out)
87 xi = Internal("xi", DataType10)
93 model.Operation("WHILE", cond, body, xi_init, j_init, i, x).To(xi)
95 model.Operation("ADD", sum, xi, 0).To(sum_out)
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| /frameworks/native/libs/input/ |
| D | VelocityTracker.cpp | 584 float xi = x[i]; in solveUnweightedLeastSquaresDeg2() local
586 float xi2 = xi*xi; in solveUnweightedLeastSquaresDeg2()
587 float xi3 = xi2*xi; in solveUnweightedLeastSquaresDeg2()
588 float xi4 = xi3*xi; in solveUnweightedLeastSquaresDeg2()
589 float xiyi = xi*yi; in solveUnweightedLeastSquaresDeg2()
592 sxi += xi; in solveUnweightedLeastSquaresDeg2()
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| /frameworks/base/tests/LegacyRestoreTest/ |
| D | jbmr2-encrypted-settings-abcd.ab | 17 n��ɭ=��aA�|ݽ��8E.�h�xi�Δ��e������/��óQu|A%Y�Mp�5���Y1O�� �C �;X!Oq1H����}���z��~TA<2xI|KL�г�…
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| /frameworks/ml/nn/tools/api/ |
| D | types.spec | 1433 * i_t =& \sigma(W_{xi}x_t+W_{hi}h_{t-1}+W_{ci}C_{t-1}+b_i) & \\
1454 * * \f$W_{xi}\f$ is the input-to-input weight matrix,
1492 * * The input-to-input weights (\f$W_{xi}\f$), recurrent-to-input weights
1555 * * 1: The input-to-input weights (\f$W_{xi}\f$). Optional.
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