| /packages/modules/NeuralNetworks/common/operations/ |
| D | LSTM.cpp | 566 convertFloat16ToFloat32(input_buffer, &input_float32); in LSTMEvalFloat16()
569 convertFloat16ToFloat32(input_to_input_weights_buffer, &input_to_input_weights_float32); in LSTMEvalFloat16()
572 convertFloat16ToFloat32(input_to_forget_weights_buffer, &input_to_forget_weights_float32); in LSTMEvalFloat16()
574 convertFloat16ToFloat32(input_to_cell_weights_buffer, &input_to_cell_weights_float32); in LSTMEvalFloat16()
576 convertFloat16ToFloat32(input_to_output_weights_buffer, &input_to_output_weights_float32); in LSTMEvalFloat16()
580 convertFloat16ToFloat32(recurrent_to_input_weights_buffer, in LSTMEvalFloat16()
584 convertFloat16ToFloat32(recurrent_to_forget_weights_buffer, in LSTMEvalFloat16()
587 convertFloat16ToFloat32(recurrent_to_cell_weights_buffer, &recurrent_to_cell_weights_float32); in LSTMEvalFloat16()
589 convertFloat16ToFloat32(recurrent_to_output_weights_buffer, in LSTMEvalFloat16()
594 convertFloat16ToFloat32(cell_to_input_weights_buffer, &cell_to_input_weights_float32); in LSTMEvalFloat16()
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| D | SVDF.cpp | 115 convertFloat16ToFloat32(reinterpret_cast<_Float16*>(input_->buffer), &inputDataFloat32); in Eval()
117 convertFloat16ToFloat32(reinterpret_cast<_Float16*>(state_in_->buffer), in Eval()
121 convertFloat16ToFloat32(reinterpret_cast<_Float16*>(bias_->buffer), in Eval()
126 convertFloat16ToFloat32(reinterpret_cast<_Float16*>(weights_feature_->buffer), in Eval()
129 convertFloat16ToFloat32(reinterpret_cast<_Float16*>(weights_time_->buffer), in Eval()
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| D | FullyConnected.cpp | 92 convertFloat16ToFloat32(inputData, &inputDataFloat32); in fullyConnectedFloat16()
94 convertFloat16ToFloat32(weightsData, &weightsDataFloat32); in fullyConnectedFloat16()
96 convertFloat16ToFloat32(biasData, &biasDataFloat32); in fullyConnectedFloat16()
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| D | GenerateProposals.cpp | 116 convertFloat16ToFloat32(roiData, &roi_float32); in bboxTransformFloat16()
118 convertFloat16ToFloat32(bboxDeltasData, &delta_float32); in bboxTransformFloat16()
120 convertFloat16ToFloat32(imageInfoData, &imageInfo_float32); in bboxTransformFloat16()
653 convertFloat16ToFloat32(scoresData, &scores_float32); in boxWithNmsLimitFloat16()
655 convertFloat16ToFloat32(roiData, &roi_float32); in boxWithNmsLimitFloat16()
1131 convertFloat16ToFloat32(scoresData, &score_float32); in generateProposalsFloat16()
1133 convertFloat16ToFloat32(bboxDeltasData, &delta_float32); in generateProposalsFloat16()
1135 convertFloat16ToFloat32(anchorsData, &anchors_float32); in generateProposalsFloat16()
1137 convertFloat16ToFloat32(imageInfoData, &imageInfo_float32); in generateProposalsFloat16()
1565 convertFloat16ToFloat32(scoreData, &scores_float32); in detectionPostprocessFloat16()
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| D | GroupedConv2D.cpp | 298 convertFloat16ToFloat32(inputData, &inputData_float32); in groupedConvFloat16()
299 convertFloat16ToFloat32(filterData, &filterData_float32); in groupedConvFloat16()
300 convertFloat16ToFloat32(biasData, &biasData_float32); in groupedConvFloat16()
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| D | Pooling.cpp | 157 convertFloat16ToFloat32(inputData, &inputDataFloat32); in averagePoolNhwc()
203 convertFloat16ToFloat32(inputData, &inputDataFloat32); in l2PoolNhwc()
247 convertFloat16ToFloat32(inputData, &inputData_float32); in maxPoolNhwc()
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| D | SimpleMath.cpp | 38 convertFloat16ToFloat32(inputData, &inputDataFloat32); in meanFloat16()
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| D | TransposeConv2D.cpp | 288 convertFloat16ToFloat32(inputData, &inputData_float32); in transposeConvNhwc()
289 convertFloat16ToFloat32(filterData, &filterData_float32); in transposeConvNhwc()
290 convertFloat16ToFloat32(biasData, &biasData_float32); in transposeConvNhwc()
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| D | HeatmapMaxKeypoint.cpp | 314 convertFloat16ToFloat32(heatmap, &heatmap_float32); in execute()
316 convertFloat16ToFloat32(boxes, &boxes_float32); in execute()
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| D | DepthwiseConv2D.cpp | 176 convertFloat16ToFloat32(inputData, &inputDataFloat32); in depthwiseConvNhwc()
178 convertFloat16ToFloat32(filterData, &filterDataFloat32); in depthwiseConvNhwc()
180 convertFloat16ToFloat32(biasData, &biasDataFloat32); in depthwiseConvNhwc()
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| D | Multinomial.cpp | 91 convertFloat16ToFloat32(GetBuffer<_Float16>(input_), &inputDataFloat32); in Eval()
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| D | Conv2D.cpp | 319 convertFloat16ToFloat32(inputData, &inputData_float32); in convNhwc()
320 convertFloat16ToFloat32(filterData, &filterData_float32); in convNhwc()
321 convertFloat16ToFloat32(biasData, &biasData_float32); in convNhwc()
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| D | LocalResponseNormalization.cpp | 113 convertFloat16ToFloat32(inputData, &inputDataFloat32); in localResponseNorm()
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| D | Broadcast.cpp | 84 convertFloat16ToFloat32(in1, &in1_float32); in binaryOperationFloat16()
86 convertFloat16ToFloat32(in2, &in2_float32); in binaryOperationFloat16()
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| D | L2Normalization.cpp | 159 convertFloat16ToFloat32(inputData, &inputDataFloat32); in l2normFloat16()
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| D | Softmax.cpp | 105 convertFloat16ToFloat32(inputData, &inputData_float32); in softmaxFloat16()
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| D | ResizeImageOps.cpp | 143 convertFloat16ToFloat32(inputData, &inputData_float32); in resizeImageOpNhwc()
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| D | Activation.cpp | 597 convertFloat16ToFloat32(context->getInputBuffer<_Float16>(kInputTensor), &inputFloat); in executeHardSwish()
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| /packages/modules/NeuralNetworks/tools/test_generator/test_harness/include_legacy/ |
| D | TestHarness.h | 39 inline void convertFloat16ToFloat32(const _Float16* input, std::vector<float>* output) { in convertFloat16ToFloat32() function
407 convertFloat16ToFloat32(inputFloat16.data(), &input); in expectMultinomialDistributionWithinTolerance()
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| /packages/modules/NeuralNetworks/common/include/ |
| D | CpuOperationUtils.h | 61 inline void convertFloat16ToFloat32(const _Float16* input, std::vector<float>* output) { in convertFloat16ToFloat32() function
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