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/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_0/
H A Drnn_state.mod.py29 activation_param = Int32Scalar("activation_param", 1) # Relu variable
35 activation_param).To([hidden_state_out, output])
H A Dsvdf_state.mod.py30 activation_param = Int32Scalar("activation_param", 0) variable
35 rank_param, activation_param).To([state_out, output])
H A Drnn.mod.py29 activation_param = Int32Scalar("activation_param", 1) # Relu variable
35 activation_param).To([hidden_state_out, output])
H A Dsvdf.mod.py32 activation_param = Int32Scalar("activation_param", 0) variable
37 rank_param, activation_param).To([state_out, output])
H A Dsvdf2.mod.py32 activation_param = Int32Scalar("activation_param", 0) variable
37 rank_param, activation_param).To([state_out, output])
H A Dsvdf_bias_present.mod.py32 activation_param = Int32Scalar("activation_param", 0) variable
37 rank_param, activation_param).To([state_out, output])
H A Dlstm2_state.mod.py54 activation_param = Int32Scalar("activation_param", 4) # Tanh variable
91 activation_param,
H A Dlstm.mod.py54 activation_param = Int32Scalar("activation_param", 4) # Tanh variable
91 activation_param,
H A Dlstm2.mod.py54 activation_param = Int32Scalar("activation_param", 4) # Tanh variable
91 activation_param,
H A Dlstm2_state2.mod.py54 activation_param = Int32Scalar("activation_param", 4) # Tanh variable
91 activation_param,
H A Dlstm3.mod.py54 activation_param = Int32Scalar("activation_param", 4) # Tanh variable
91 activation_param,
H A Dlstm3_state.mod.py54 activation_param = Int32Scalar("activation_param", 4) # Tanh variable
91 activation_param,
H A Dlstm3_state2.mod.py54 activation_param = Int32Scalar("activation_param", 4) # Tanh variable
91 activation_param,
/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_1/
H A Drnn_state_relaxed.mod.py29 activation_param = Int32Scalar("activation_param", 1) # Relu variable
35 activation_param).To([hidden_state_out, output])
H A Dsvdf_state_relaxed.mod.py30 activation_param = Int32Scalar("activation_param", 0) variable
35 rank_param, activation_param).To([state_out, output])
H A Drnn_relaxed.mod.py29 activation_param = Int32Scalar("activation_param", 1) # Relu variable
35 activation_param).To([hidden_state_out, output])
H A Dsvdf2_relaxed.mod.py32 activation_param = Int32Scalar("activation_param", 0) variable
37 rank_param, activation_param).To([state_out, output])
H A Dsvdf_bias_present_relaxed.mod.py32 activation_param = Int32Scalar("activation_param", 0) variable
37 rank_param, activation_param).To([state_out, output])
H A Dsvdf_relaxed.mod.py32 activation_param = Int32Scalar("activation_param", 0) variable
37 rank_param, activation_param).To([state_out, output])
/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_2/
H A Dsvdf_state_float16.mod.py30 activation_param = Int32Scalar("activation_param", 0) variable
35 rank_param, activation_param).To([state_out, output])
H A Dlayer_norm_lstm.mod.py73 activation_param = Int32Scalar("activation_param", 4) # Tanh variable
101 cell_state_in, activation_param, cell_clip_param, proj_clip_param,
245 activation_param = Int32Scalar("activation_param", 4) # Tanh variable
273 cell_state_in, activation_param, cell_clip_param, proj_clip_param,
H A Drnn_float16.mod.py29 activation_param = Int32Scalar("activation_param", 1) # Relu variable
35 activation_param).To([hidden_state_out, output])
H A Dsvdf_bias_present_float16.mod.py32 activation_param = Int32Scalar("activation_param", 0) variable
37 rank_param, activation_param).To([state_out, output])
H A Dsvdf_float16.mod.py32 activation_param = Int32Scalar("activation_param", 0) variable
37 rank_param, activation_param).To([state_out, output])
H A Dlstm2_state_float16.mod.py54 activation_param = Int32Scalar("activation_param", 4) # Tanh variable
91 activation_param,

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