| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| D | conv2d_quant8_signed.mod.py | 21 f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}", [.25, .25, .25, .25]) variable
72 f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}", [.25, .25, .25, .25]) variable
150 f1 = Parameter("op2", "TENSOR_QUANT8_SYMM_PER_CHANNEL", "{3, 1, 1, 2}", variable
211 f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}", [.25, .25, .25, .25]) variable
437 f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2, 2, 1}, 0.5f, -1", variable
468 f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM_SIGNED", "{3, 1, 1, 3}, 0.5f, -128", [-127, -126, -125, … variable
489 f1 = Input("op2", "TENSOR_QUANT8_ASYMM_SIGNED", "{3, 1, 1, 3}, 0.5f, -128") variable
516 f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM_SIGNED", "{3, 1, 1, 3}, 0.5, -128", [-127, -124, -121, -… variable
544 f1 = Input("op2", "TENSOR_QUANT8_ASYMM_SIGNED", "{3, 1, 1, 3}, 0.5, -128") variable
580 f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2, 2, 1}, 0.5f, -128", variable
[all …]
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| D | depthwise_conv2d_quant8_signed.mod.py | 21 f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}", [.25, 0., .2, 0., .25, 0., 0., .3, .25, 0.,… variable
78 f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}", [.25, 0., .2, 0., .25, 0., 0., .3, .25, 0.,… variable
165 f1 = Parameter("op2", "TENSOR_QUANT8_SYMM_PER_CHANNEL", "{1, 2, 2, 2}", variable
220 f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2, 2, 4}, 0.5f, -1", [1, 3, 5, 7, -19, 19,… variable
251 f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2, 2, 2}, 0.5f, -128", variable
280 f1 = Input("op2", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2, 2, 2}, 0.5f, -128") variable
312 f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2, 2, 2}, 0.5f, -128", variable
341 f1 = Input("op2", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2, 2, 2}, 0.5f, -128") variable
375 f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}", [.25, 0., .2, 0., .25, 0., 0., .3, .25, 0.,… variable
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_2/ |
| D | conv2d_dilation.mod.py | 21 f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}", [.25, .25, .25, .25]) variable
72 f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}", [.25, .25, .25, .25]) variable
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| D | depthwise_conv2d_dilation.mod.py | 21 f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}", [.25, 0., .2, 0., .25, 0., 0., .3, .25, 0.,… variable
76 f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}", [.25, 0., .2, 0., .25, 0., 0., .3, .25, 0.,… variable
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| D | depthwise_conv2d_invalid_filter_dims.mod.py | 23 f1 = Parameter("op2", "TENSOR_FLOAT32", "{2, 2, 2, 4}", [0.] * (2 * 2 * 2 * 4)) variable
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3_cts_only/ |
| D | conv2d_v1_3_invalid_rank.mod.py | 21 f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2}", [.25, .25, .25, .25]) variable
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_0/ |
| D | conv_quant8_channels.mod.py | 19 f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{3, 1, 1, 3}, 0.5f, 0", [1, 2, 3, 4, 5, 6, 7, 8, 9]) variable
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| D | conv_quant8_weights_as_inputs.mod.py | 19 f1 = Input("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 0.5f, 0") variable
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| D | conv_quant8_large.mod.py | 19 f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{3, 1, 1, 3}, 0.5, 0", [1, 4, 7, 2, 5, 8, 3, 6, 9]) variable
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| D | conv_float_large.mod.py | 19 f1 = Parameter("op2", "TENSOR_FLOAT32", "{3, 1, 1, 3}", [1., 4., 7., 2., 5., 8., 3., 6., 9.]) variable
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| D | conv_float_2.mod.py | 19 f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 3, 3, 1}", [1, 4, 7, 2, 5, 8, 3, 6, 9]) variable
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| D | conv_quant8_channels_weights_as_inputs.mod.py | 19 f1 = Input("op2", "TENSOR_QUANT8_ASYMM", "{3, 1, 1, 3}, 0.5f, 0") variable
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| D | conv_float_channels_weights_as_inputs.mod.py | 19 f1 = Input("op2", "TENSOR_FLOAT32", "{3, 1, 1, 3}") variable
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| D | conv_quant8_large_weights_as_inputs.mod.py | 19 f1 = Input("op2", "TENSOR_QUANT8_ASYMM", "{3, 1, 1, 3}, 0.5, 0") variable
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| D | conv_quant8_overflow.mod.py | 19 f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{3, 1, 1, 3}, 0.5, 0", [10, 40, 70, 20, 50, 80, 30, 6… variable
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| D | conv_float_weights_as_inputs.mod.py | 19 f1 = Input("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
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| D | conv_quant8.mod.py | 20 f1 = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 0.5f, 0", variable
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| D | conv_quant8_overflow_weights_as_inputs.mod.py | 19 f1 = Input("op2", "TENSOR_QUANT8_ASYMM", "{3, 1, 1, 3}, 0.5, 0") variable
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| D | conv_float_channels.mod.py | 19 f1 = Parameter("op2", "TENSOR_FLOAT32", "{3, 1, 1, 3}", [1.0, 1.0, 1.0, 2.0, 2.0, 2.0, 3.0, 3.0, 3.… variable
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| D | conv_float.mod.py | 19 f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}", [.25, .25, .25, .25]) variable
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| D | conv_float_large_weights_as_inputs.mod.py | 19 f1 = Input("op2", "TENSOR_FLOAT32", "{3, 1, 1, 3}") variable
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| /packages/modules/NeuralNetworks/tools/test_generator/tests/P_vts_implicit_variation/ |
| D | conv_float.mod.py | 17 f1 = Parameter("op2", "TENSOR_FLOAT32", "{2, 2, 2, 2}", [1, 2, 3, 4, 5, 6, 7, 8, 8, 7, 6, 5, 4, 3, … variable
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| /packages/modules/NeuralNetworks/tools/test_generator/tests/P_implicit_variation/ |
| D | conv_float.mod.py | 17 f1 = Parameter("op2", "TENSOR_FLOAT32", "{2, 2, 2, 2}", [1, 2, 3, 4, 5, 6, 7, 8, 8, 7, 6, 5, 4, 3, … variable
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_1/ |
| D | conv_float_large_relaxed.mod.py | 19 f1 = Parameter("op2", "TENSOR_FLOAT32", "{3, 1, 1, 3}", [1., 4., 7., 2., 5., 8., 3., 6., 9.]) variable
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| D | conv_float_channels_relaxed.mod.py | 19 f1 = Parameter("op2", "TENSOR_FLOAT32", "{3, 1, 1, 3}", [1.0, 1.0, 1.0, 2.0, 2.0, 2.0, 3.0, 3.0, 3.… variable
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