Searched refs:Float32Scalar (Results 1 – 25 of 58) sorted by relevance
123
| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| D | qlstm_noprojection.mod.py | 69 cell_clip = Float32Scalar("cell_clip", 0.)
70 projection_clip = Float32Scalar("projection_clip", 0.)
72 input_intermediate_scale = Float32Scalar("input_intermediate_scale", 0.007059)
73 forget_intermediate_scale = Float32Scalar("forget_intermediate_scale", 0.007812)
74 cell_intermediate_scale = Float32Scalar("cell_intermediate_scale", 0.007059)
75 output_intermediate_scale = Float32Scalar("output_intermediate_scale", 0.007812)
77 hidden_state_scale = Float32Scalar("hidden_state_scale", 0.007)
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| D | qlstm_projection.mod.py | 69 cell_clip = Float32Scalar("cell_clip", 0.)
70 projection_clip = Float32Scalar("projection_clip", 0.)
72 input_intermediate_scale = Float32Scalar("input_intermediate_scale", 0.007059)
73 forget_intermediate_scale = Float32Scalar("forget_intermediate_scale", 0.007812)
74 cell_intermediate_scale = Float32Scalar("cell_intermediate_scale", 0.007059)
75 output_intermediate_scale = Float32Scalar("output_intermediate_scale", 0.007812)
77 hidden_state_scale = Float32Scalar("hidden_state_scale", 0.007)
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| D | fill.mod.py | 29 value=Float32Scalar("value", 3.0),
38 value=Float32Scalar("value", 3.0),
47 value=Float32Scalar("value", 3.0),
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| D | elu.mod.py | 27 alpha=Float32Scalar("alpha", 1.0),
36 alpha=Float32Scalar("alpha", 0.1),
45 alpha=Float32Scalar("alpha", 10),
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_0/ |
| D | local_response_norm_float_1.mod.py | 4 bias = Float32Scalar("bias", 9.)
5 alpha = Float32Scalar("alpha", 4.)
6 beta = Float32Scalar("beta", .5)
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| D | local_response_norm_float_4.mod.py | 4 bias = Float32Scalar("bias", 9.)
5 alpha = Float32Scalar("alpha", 4.)
6 beta = Float32Scalar("beta", .5)
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| D | lstm2_state.mod.py | 55 cell_clip_param = Float32Scalar("cell_clip_param", 0.)
56 proj_clip_param = Float32Scalar("proj_clip_param", 0.)
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| D | lstm2.mod.py | 55 cell_clip_param = Float32Scalar("cell_clip_param", 0.)
56 proj_clip_param = Float32Scalar("proj_clip_param", 0.)
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| D | lstm3_state3.mod.py | 55 cell_clip_param = Float32Scalar("cell_clip_param", 0.)
56 proj_clip_param = Float32Scalar("proj_clip_param", 0.)
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| D | lstm.mod.py | 55 cell_clip_param = Float32Scalar("cell_clip_param", 0.)
56 proj_clip_param = Float32Scalar("proj_clip_param", 0.)
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| D | lstm3.mod.py | 55 cell_clip_param = Float32Scalar("cell_clip_param", 0.)
56 proj_clip_param = Float32Scalar("proj_clip_param", 0.)
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| D | lstm_state2.mod.py | 55 cell_clip_param = Float32Scalar("cell_clip_param", 0.)
56 proj_clip_param = Float32Scalar("proj_clip_param", 0.)
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_1/ |
| D | local_response_norm_float_1_relaxed.mod.py | 20 bias = Float32Scalar("bias", 9.)
21 alpha = Float32Scalar("alpha", 4.)
22 beta = Float32Scalar("beta", .5)
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| D | local_response_norm_float_4_relaxed.mod.py | 20 bias = Float32Scalar("bias", 9.)
21 alpha = Float32Scalar("alpha", 4.)
22 beta = Float32Scalar("beta", .5)
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| D | lstm_relaxed.mod.py | 55 cell_clip_param = Float32Scalar("cell_clip_param", 0.)
56 proj_clip_param = Float32Scalar("proj_clip_param", 0.)
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| D | lstm3_state2_relaxed.mod.py | 55 cell_clip_param = Float32Scalar("cell_clip_param", 0.)
56 proj_clip_param = Float32Scalar("proj_clip_param", 0.)
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| D | lstm3_state_relaxed.mod.py | 55 cell_clip_param = Float32Scalar("cell_clip_param", 0.)
56 proj_clip_param = Float32Scalar("proj_clip_param", 0.)
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| D | lstm2_relaxed.mod.py | 55 cell_clip_param = Float32Scalar("cell_clip_param", 0.)
56 proj_clip_param = Float32Scalar("proj_clip_param", 0.)
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| D | lstm_state2_relaxed.mod.py | 55 cell_clip_param = Float32Scalar("cell_clip_param", 0.)
56 proj_clip_param = Float32Scalar("proj_clip_param", 0.)
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| D | lstm_state_relaxed.mod.py | 55 cell_clip_param = Float32Scalar("cell_clip_param", 0.)
56 proj_clip_param = Float32Scalar("proj_clip_param", 0.)
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| D | lstm2_state2_relaxed.mod.py | 55 cell_clip_param = Float32Scalar("cell_clip_param", 0.)
56 proj_clip_param = Float32Scalar("proj_clip_param", 0.)
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_2/ |
| D | layer_norm_lstm.mod.py | 74 cell_clip_param = Float32Scalar("cell_clip_param", 0.)
75 proj_clip_param = Float32Scalar("proj_clip_param", 0.)
246 cell_clip_param = Float32Scalar("cell_clip_param", 0.)
247 proj_clip_param = Float32Scalar("proj_clip_param", 0.)
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| D | unidirectional_sequence_lstm_batch_major_peephole_projection_bias.mod.py | 77 cell_clip_param = Float32Scalar("cell_clip_param", 0.)
78 proj_clip_param = Float32Scalar("proj_clip_param", 0.)
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| D | unidirectional_sequence_lstm_layer_norm_cifg_peephole.mod.py | 77 cell_clip_param = Float32Scalar("cell_clip_param", 0.)
78 proj_clip_param = Float32Scalar("proj_clip_param", 0.)
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| /packages/modules/NeuralNetworks/tools/test_generator/tests/P_backward_compatibility_float/ |
| D | lstm_float.mod.py | 51 cell_clip_param = Float32Scalar("cell_clip_param", 0.)
52 proj_clip_param = Float32Scalar("proj_clip_param", 0.)
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123