Python ModelBuilder.buildRN_VI Examples

Programming Language: Python

Namespace/Package Name: model

Class/Type: ModelBuilder

Method/Function: buildRN_VI

Examples at hotexamples.com: 2

Python ModelBuilder.buildRN_VI - 2 examples found. These are the top rated real world Python examples of model.ModelBuilder.buildRN_VI extracted from open source projects. You can rate examples to help us improve the quality of examples.

Frequently Used Methods

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ModelBuilder(15)

create_model(4)

predict_model(3)

load_state_dict(3)

eval(3)

buildRN_VII_jl(2)

predict_and_evaluate(2)

build_net(2)

buildWordProcessorLSTMs(2)

build_encoder(2)

buildRN_VIII_jl(2)

buildRN_VI(2)

buildRN_V(2)

buildRN_IV(2)

buildRN_III(2)

buildRN_II(2)

buildRN_I(2)

buildOptimizer(2)

build(1)

cleanFiles(1)

compile(1)

createModels(1)

fit_generator(1)

buildAnswerModel(1)

save(1)

train(1)

Example #1

Show file

File: test.py Project: MMMMasterM/rn-variations

    rnOutput = modelBuilder.buildRN_I(objects, question)
elif modelToUse == 2:
    print("Using model II")
    rnOutput = modelBuilder.buildRN_II(objects, question)
elif modelToUse == 3:
    print("Using model III")
    rnOutput = modelBuilder.buildRN_III(objects, question)
elif modelToUse == 4:
    print("Using model IV")
    rnOutput = modelBuilder.buildRN_IV(objects, question)
elif modelToUse == 5:
    print("Using model V")
    rnOutput = modelBuilder.buildRN_V(objects, question)
elif modelToUse == 6:
    print("Using model VI")
    rnOutput = modelBuilder.buildRN_VI(objects, question)
elif modelToUse == 7:
    print("Using model VII")
    rnOutput = modelBuilder.buildRN_VII_jl(objects, question)
elif modelToUse == 8 and layerCount >= 0:
    print("Using model VIII with " + str(layerCount) + " layers")
    rnOutput = modelBuilder.buildRN_VIII_jl(objects, question, layerCount)
else:
    print("Invalid model number specified: " + str(modelToUse))
    sys.exit(0)

#(answer, answerGates, answerForCorrectness) = modelBuilder.buildAnswerModel(rnOutput)
(answer, answerForCorrectness) = modelBuilder.buildAnswerModel(rnOutput)

(inputAnswer, loss, accum_ops, zero_ops, train_step, global_step_tensor,
 gradientsNorm,

Example #2

Show file

    (rnOutput, isTraining) = modelBuilder.buildRN_I(objects, question)
elif modelToUse == 2:
    print("Using model II")
    (rnOutput, isTraining) = modelBuilder.buildRN_II(objects, question)
elif modelToUse == 3:
    print("Using model III")
    (rnOutput, isTraining) = modelBuilder.buildRN_III(objects, question)
elif modelToUse == 4:
    print("Using model IV")
    (rnOutput, isTraining) = modelBuilder.buildRN_IV(objects, question)
elif modelToUse == 5:
    print("Using model V")
    (rnOutput, isTraining) = modelBuilder.buildRN_V(objects, question)
elif modelToUse == 6:
    print("Using model VI")
    (rnOutput, isTraining) = modelBuilder.buildRN_VI(objects, question)
elif modelToUse == 7:
    print("Using model VII")
    (rnOutput, isTraining) = modelBuilder.buildRN_VII_jl(objects, question)
elif modelToUse == 8 and layerCount >= 0:
    print("Using model VIII with " + str(layerCount) + " layers")
    (rnOutput, isTraining) = modelBuilder.buildRN_VIII_jl(objects, inputContextLengths, question, layerCount)
else:
    print("Invalid model number specified: " + str(modelToUse))
    sys.exit(0)

#(answer, answerGates, answerForCorrectness) = modelBuilder.buildAnswerModel(rnOutput)
(answer, answerForCorrectness) = modelBuilder.buildAnswerModel(rnOutput)

#(inputAnswer, loss, optimizer_op, global_step_tensor, gradientsNorm, learningRate) = modelBuilder.buildOptimizer(answer, args.optimizer)#, answerGates)
(inputAnswer, loss, accum_ops, zero_ops, train_step, global_step_tensor, gradientsNorm, learningRate) = modelBuilder.buildOptimizer(answer, args.optimizer)#, answerGates)