Searched refs:inputData_float32 (Results 1 – 6 of 6) sorted by relevance
| /frameworks/ml/nn/common/operations/ |
| D | Softmax.cpp | 102 std::vector<float> inputData_float32(getNumberOfElements(inputShape)); in softmaxFloat16() local
103 convertFloat16ToFloat32(inputData, &inputData_float32); in softmaxFloat16()
106 softmaxFloat32(inputData_float32.data(), inputShape, beta, axis, outputData_float32.data(), in softmaxFloat16()
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| D | ResizeImageOps.cpp | 140 std::vector<float> inputData_float32(getNumberOfElements(inputShape)); in resizeImageOpNhwc() local
141 convertFloat16ToFloat32(inputData, &inputData_float32); in resizeImageOpNhwc()
143 NN_RET_CHECK(resizeImageOpNhwc(opType, inputData_float32.data(), inputShape, alignCorners, in resizeImageOpNhwc()
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| D | GroupedConv2D.cpp | 293 std::vector<float> inputData_float32(getNumberOfElements(inputShape)); in groupedConvFloat16() local
298 convertFloat16ToFloat32(inputData, &inputData_float32); in groupedConvFloat16()
302 groupedConvFloat32(inputData_float32.data(), inputShape, filterData_float32.data(), filterShape, in groupedConvFloat16()
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| D | Pooling.cpp | 242 std::vector<float> inputData_float32(getNumberOfElements(inputShape)); in maxPoolNhwc() local
245 convertFloat16ToFloat32(inputData, &inputData_float32); in maxPoolNhwc()
246 maxPoolNhwc(inputData_float32.data(), inputShape, param, outputData_float32.data(), in maxPoolNhwc()
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| D | TransposeConv2D.cpp | 282 std::vector<float> inputData_float32(getNumberOfElements(inputShape)); in transposeConvNhwc() local
287 convertFloat16ToFloat32(inputData, &inputData_float32); in transposeConvNhwc()
291 transposeConvNhwc(inputData_float32.data(), inputShape, filterData_float32.data(), filterShape, in transposeConvNhwc()
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| D | Conv2D.cpp | 313 std::vector<float> inputData_float32(getNumberOfElements(inputShape)); in convNhwc() local
318 convertFloat16ToFloat32(inputData, &inputData_float32); in convNhwc()
322 convNhwc(inputData_float32.data(), inputShape, filterData_float32.data(), filterShape, in convNhwc()
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