Searched refs:IntroducedIn (Results 1 – 11 of 11) sorted by relevance
| /packages/modules/NeuralNetworks/runtime/test/specs/V1_2/ |
| D | pad_low_rank_quant8.mod.py | 21 model = Model().IntroducedIn("V1_1").Operation("PAD", input0, paddings).To(output0)
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| D | pad_quant8.mod.py | 24 model = Model().IntroducedIn("V1_1").Operation("PAD", input0, paddings).To(output0)
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3_cts_only/ |
| D | concat_invalid_rank.mod.py | 23 axis).To(output0).IntroducedIn("V1_0")
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_1/ |
| D | fully_connected_float_4d_simple.mod.py | 21 model = Model().IntroducedIn("V1_0")
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| D | l2_normalization_zeros.mod.py | 32 Model().IntroducedIn("V1_2").Operation("L2_NORMALIZATION", i1, axis).To(o1)
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| D | pow_same_shape.mod.py | 24 model = Model().Operation("POW", base, exponent).To(output).IntroducedIn("V1_2")
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| D | cast_identity.mod.py | 83 model.IntroducedIn(operand.introduced_in)
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| D | bidirectional_sequence_rnn_1_3.mod.py | 60 model = model.IntroducedIn("V1_2")
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| D | bidirectional_sequence_lstm.mod.py | 307 ).To(fw_output, bw_output).IntroducedIn("V1_2")
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| /packages/modules/NeuralNetworks/tools/test_generator/ |
| D | README.md | 347 Use `IntroducedIn` to set the version of a model. All variations of the model will have the same ve…
350 model_V1_0 = Model().IntroducedIn("V1_0")
358 …ests are specified by names. This method can also override the version specified by `IntroducedIn`.
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| D | test_generator.py | 515 def IntroducedIn(self, ver): member in Model
623 self.IntroducedIn(None)
1231 self.model.IntroducedIn(Example.versionOverrides[str(self.testName)])
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