| /frameworks/ml/nn/driver/sample/ |
| SampleDriverMinimal.cpp | 63 const Operand& firstOperand = model.operands[operation.inputs[0]];
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| /frameworks/ml/nn/runtime/test/generated/vts_models/ |
| avg_pool_float_2.model.cpp | 64 .inputs = {0, 3, 3, 3, 3, 1, 1, 2, 2, 4},
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| avg_pool_float_3.model.cpp | 64 .inputs = {0, 3, 3, 3, 3, 1, 1, 2, 2, 4},
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| avg_pool_float_4.model.cpp | 64 .inputs = {0, 3, 3, 3, 3, 1, 1, 2, 2, 4},
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| avg_pool_quant8_2.model.cpp | 64 .inputs = {0, 3, 3, 3, 3, 1, 1, 2, 2, 4},
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| avg_pool_quant8_3.model.cpp | 64 .inputs = {0, 3, 3, 3, 3, 1, 1, 2, 2, 4},
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| conv_float.model.cpp | 73 .inputs = {0, 1, 2, 3, 3, 3, 3, 5, 5, 4},
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| conv_float_channels.model.cpp | 73 .inputs = {0, 1, 2, 3, 3, 3, 3, 5, 5, 4},
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| conv_float_channels_weights_as_inputs.model.cpp | 73 .inputs = {0, 1, 2, 3, 3, 3, 3, 5, 5, 4},
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| conv_float_large.model.cpp | 73 .inputs = {0, 1, 2, 3, 3, 3, 3, 5, 5, 4},
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| conv_float_large_weights_as_inputs.model.cpp | 73 .inputs = {0, 1, 2, 3, 3, 3, 3, 5, 5, 4},
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| conv_float_weights_as_inputs.model.cpp | 73 .inputs = {0, 1, 2, 3, 3, 3, 3, 5, 5, 4},
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| conv_quant8.model.cpp | 73 .inputs = {0, 1, 2, 3, 3, 3, 3, 5, 5, 4},
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| conv_quant8_channels.model.cpp | 73 .inputs = {0, 1, 2, 3, 3, 3, 3, 5, 5, 4},
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| conv_quant8_channels_weights_as_inputs.model.cpp | 73 .inputs = {0, 1, 2, 3, 3, 3, 3, 5, 5, 4},
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| conv_quant8_large.model.cpp | 73 .inputs = {0, 1, 2, 3, 3, 3, 3, 5, 5, 4},
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| conv_quant8_large_weights_as_inputs.model.cpp | 73 .inputs = {0, 1, 2, 3, 3, 3, 3, 5, 5, 4},
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| conv_quant8_overflow.model.cpp | 73 .inputs = {0, 1, 2, 3, 3, 3, 3, 5, 5, 4},
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| conv_quant8_overflow_weights_as_inputs.model.cpp | 73 .inputs = {0, 1, 2, 3, 3, 3, 3, 5, 5, 4},
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| conv_quant8_weights_as_inputs.model.cpp | 73 .inputs = {0, 1, 2, 3, 3, 3, 3, 5, 5, 4},
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| local_response_norm_float_1.model.cpp | 64 .inputs = {0, 1, 2, 3, 4},
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| local_response_norm_float_2.model.cpp | 64 .inputs = {0, 1, 2, 3, 4},
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| local_response_norm_float_3.model.cpp | 64 .inputs = {0, 1, 2, 3, 4},
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| local_response_norm_float_4.model.cpp | 64 .inputs = {0, 1, 2, 3, 4},
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| max_pool_float_2.model.cpp | 64 .inputs = {0, 3, 3, 3, 3, 1, 1, 2, 2, 4},
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