| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| H A D | local_response_norm_float_1.mod.py | 6 beta = Float32Scalar("beta", .5) variable
9 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
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| H A D | local_response_norm_float_2.mod.py | 6 beta = Float32Scalar("beta", .5) variable
9 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
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| H A D | local_response_norm_float_3.mod.py | 6 beta = Float32Scalar("beta", .5) variable
9 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
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| H A D | local_response_norm_float_4.mod.py | 6 beta = Float32Scalar("beta", .5) variable
9 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
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| H A D | softmax_float_1.mod.py | 5 beta = Float32Scalar("beta", 0.000001) variable
9 model = model.Operation("SOFTMAX", i1, beta).To(output)
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| H A D | softmax_float_2.mod.py | 5 beta = Float32Scalar("beta", 1.) variable
9 model = model.Operation("SOFTMAX", i1, beta).To(output)
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| H A D | softmax_quant8_1.mod.py | 5 beta = Float32Scalar("beta", 0.00001) # close to 0 variable
9 model = model.Operation("SOFTMAX", i1, beta).To(output)
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| H A D | softmax_quant8_2.mod.py | 5 beta = Float32Scalar("beta", 1.) variable
9 model = model.Operation("SOFTMAX", i1, beta).To(output)
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| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| H A D | softmax_float_1_relaxed.mod.py | 21 beta = Float32Scalar("beta", 0.000001) variable
25 model = model.Operation("SOFTMAX", i1, beta).To(output)
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| H A D | softmax_float_2_relaxed.mod.py | 21 beta = Float32Scalar("beta", 1.) variable
25 model = model.Operation("SOFTMAX", i1, beta).To(output)
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| H A D | local_response_norm_float_1_relaxed.mod.py | 22 beta = Float32Scalar("beta", .5) variable
25 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
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| H A D | local_response_norm_float_2_relaxed.mod.py | 22 beta = Float32Scalar("beta", .5) variable
25 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
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| H A D | local_response_norm_float_3_relaxed.mod.py | 22 beta = Float32Scalar("beta", .5) variable
25 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
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| H A D | local_response_norm_float_4_relaxed.mod.py | 22 beta = Float32Scalar("beta", .5) variable
25 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
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| /frameworks/ml/nn/runtime/test/generated/models/ |
| H A D | softmax_float_1.model.cpp | 7 auto beta = model->addOperand(&type1); local
11 model->setOperandValue(beta, beta_init, sizeof(float) * 1);
12 model->addOperation(ANEURALNETWORKS_SOFTMAX, {input, beta}, {output});
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| H A D | softmax_float_1_relaxed.model.cpp | 7 auto beta = model->addOperand(&type1); local
11 model->setOperandValue(beta, beta_init, sizeof(float) * 1);
12 model->addOperation(ANEURALNETWORKS_SOFTMAX, {input, beta}, {output});
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| H A D | softmax_float_2.model.cpp | 7 auto beta = model->addOperand(&type1); local
11 model->setOperandValue(beta, beta_init, sizeof(float) * 1);
12 model->addOperation(ANEURALNETWORKS_SOFTMAX, {input, beta}, {output});
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| H A D | softmax_float_2_relaxed.model.cpp | 7 auto beta = model->addOperand(&type1); local
11 model->setOperandValue(beta, beta_init, sizeof(float) * 1);
12 model->addOperation(ANEURALNETWORKS_SOFTMAX, {input, beta}, {output});
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| H A D | softmax_quant8_1.model.cpp | 8 auto beta = model->addOperand(&type1); local
12 model->setOperandValue(beta, beta_init, sizeof(float) * 1);
13 model->addOperation(ANEURALNETWORKS_SOFTMAX, {input, beta}, {output});
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| H A D | softmax_quant8_2.model.cpp | 8 auto beta = model->addOperand(&type1); local
12 model->setOperandValue(beta, beta_init, sizeof(float) * 1);
13 model->addOperation(ANEURALNETWORKS_SOFTMAX, {input, beta}, {output});
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| H A D | local_response_norm_float_1.model.cpp | 11 auto beta = model->addOperand(&type2); local
21 model->setOperandValue(beta, beta_init, sizeof(float) * 1);
22 model->addOperation(ANEURALNETWORKS_LOCAL_RESPONSE_NORMALIZATION, {input, radius, bias, alpha, beta}, {output});
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| H A D | local_response_norm_float_1_relaxed.model.cpp | 11 auto beta = model->addOperand(&type2); local
21 model->setOperandValue(beta, beta_init, sizeof(float) * 1);
22 model->addOperation(ANEURALNETWORKS_LOCAL_RESPONSE_NORMALIZATION, {input, radius, bias, alpha, beta}, {output});
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| H A D | local_response_norm_float_2.model.cpp | 11 auto beta = model->addOperand(&type2); local
21 model->setOperandValue(beta, beta_init, sizeof(float) * 1);
22 model->addOperation(ANEURALNETWORKS_LOCAL_RESPONSE_NORMALIZATION, {input, radius, bias, alpha, beta}, {output});
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| H A D | local_response_norm_float_2_relaxed.model.cpp | 11 auto beta = model->addOperand(&type2); local
21 model->setOperandValue(beta, beta_init, sizeof(float) * 1);
22 model->addOperation(ANEURALNETWORKS_LOCAL_RESPONSE_NORMALIZATION, {input, radius, bias, alpha, beta}, {output});
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| /frameworks/ml/nn/common/operations/ |
| H A D | Normalization.cpp | 45 int32_t radius, float bias, float alpha, float beta,
49 radius, bias, alpha, beta,
44 localResponseNormFloat32(const float* inputData, const Shape& inputShape, int32_t radius, float bias, float alpha, float beta, float* outputData, const Shape& outputShape) argument
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