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Searched refs:OH_NN_FLOAT64 (Results 1 – 17 of 17) sorted by relevance

/ohos5.0/foundation/ai/neural_network_runtime/frameworks/native/neural_network_runtime/
H A Dtransform.cpp45 case OH_NN_FLOAT64: in GetTypeSize()
77 case OH_NN_FLOAT64: in TransformDataType()
155 return OH_NN_FLOAT64; in TransformDataType()
H A Dhdi_prepared_model_v1_0.cpp50 case OH_NN_FLOAT64: in TransDataType()
H A Dhdi_prepared_model_v2_0.cpp51 case OH_NN_FLOAT64: in TransDataType()
H A Dhdi_prepared_model_v2_1.cpp51 case OH_NN_FLOAT64: in TransDataType()
/ohos5.0/foundation/ai/neural_network_runtime/frameworks/native/neural_network_core/
H A Dvalidation.cpp23 if (dataType >= OH_NN_UNKNOWN && dataType <= OH_NN_FLOAT64) { in ValidateTensorDataType()
H A Dtensor_desc.cpp45 case OH_NN_FLOAT64: in GetTypeSize()
/ohos5.0/foundation/ai/neural_network_runtime/test/unittest/components/v1_0/transform/
H A Dtransform_test.cpp244 OH_NN_DataType dataType = OH_NN_FLOAT64;
499 EXPECT_EQ(OH_NN_FLOAT64, result);
/ohos5.0/foundation/ai/neural_network_runtime/test/unittest/components/v2_0/transform/
H A Dtransform_test.cpp244 OH_NN_DataType dataType = OH_NN_FLOAT64;
499 EXPECT_EQ(OH_NN_FLOAT64, result);
/ohos5.0/foundation/ai/neural_network_runtime/interfaces/kits/c/neural_network_runtime/
H A Dneural_network_runtime_type.h316 OH_NN_FLOAT64 = 12 enumerator
/ohos5.0/docs/zh-cn/application-dev/reference/apis-neural-network-runtime-kit/
H A D_neural_network_runtime.md70 …32 = 8, OH_NN_UINT64 = 9, OH_NN_FLOAT16 = 10, OH_NN_FLOAT32 = 11,<br/>OH_NN_FLOAT64 = 12<br/>} | N…
500 | OH_NN_FLOAT64 | 张量数据类型为float64 |
654 | OH_NN_OPS_COS<sup>12+</sup> | 逐元素计算输入数据的余弦值。<br/>输入：<br/>- input，n维张量，数值类型为OH_NN_FLOAT64、OH_NN_FL…
655 | OH_NN_OPS_LOG<sup>12+</sup> | 逐元素计算输入的自然对数。<br/>输入：<br/>- input，n维张量，数值必须大于0，数值类型为OH_NN_FLOAT64、O…
660 | OH_NN_OPS_RECIPROCAL<sup>12+</sup> | 逐元素计算输入的倒数。<br/>输入：<br/>- input，n维张量，数据类型为数值类型为OH_NN_FLOAT64…
661 | OH_NN_OPS_SIN<sup>12+</sup> | 逐元素计算输入的正弦值。<br/>输入：<br/>- input，n维张量，数值类型为OH_NN_FLOAT64、OH_NN_FLOA…
665 | OH_NN_OPS_CEIL<sup>12+</sup> | 对输入的每个元素做向上取整。<br/>输入：<br/>- input，n维张量，数据类型为OH_NN_FLOAT64、OH_NN_F…
668 | OH_NN_OPS_FLOOR<sup>12+</sup> | 对输入的每个元素做向下取整。<br/>输入：<br/>- input，n维张量，数据类型为OH_NN_FLOAT64、OH_NN_…
670 …归一化处理，最终得到一个概率分布向量。<br/>输入：<br/>- 2维张量，形状为[batchSize，numClasses]，数据类型为OH_NN_FLOAT64、OH_NN_FLOAT32、…
H A D_neural_nework_runtime.md70 …32 = 8, OH_NN_UINT64 = 9, OH_NN_FLOAT16 = 10, OH_NN_FLOAT32 = 11,<br/>OH_NN_FLOAT64 = 12<br/>} | N…
500 | OH_NN_FLOAT64 | 张量数据类型为float64 |
654 | OH_NN_OPS_COS<sup>12+</sup> | 逐元素计算输入数据的余弦值。<br/>输入：<br/>- input，n维张量，数值类型为OH_NN_FLOAT64、OH_NN_FL…
655 | OH_NN_OPS_LOG<sup>12+</sup> | 逐元素计算输入的自然对数。<br/>输入：<br/>- input，n维张量，数值必须大于0，数值类型为OH_NN_FLOAT64、O…
660 | OH_NN_OPS_RECIPROCAL<sup>12+</sup> | 逐元素计算输入的倒数。<br/>输入：<br/>- input，n维张量，数据类型为数值类型为OH_NN_FLOAT64…
661 | OH_NN_OPS_SIN<sup>12+</sup> | 逐元素计算输入的正弦值。<br/>输入：<br/>- input，n维张量，数值类型为OH_NN_FLOAT64、OH_NN_FLOA…
665 | OH_NN_OPS_CEIL<sup>12+</sup> | 对输入的每个元素做向上取整。<br/>输入：<br/>- input，n维张量，数据类型为OH_NN_FLOAT64、OH_NN_F…
668 | OH_NN_OPS_FLOOR<sup>12+</sup> | 对输入的每个元素做向下取整。<br/>输入：<br/>- input，n维张量，数据类型为OH_NN_FLOAT64、OH_NN_…
670 …归一化处理，最终得到一个概率分布向量。<br/>输入：<br/>- 2维张量，形状为[batchSize，numClasses]，数据类型为OH_NN_FLOAT64、OH_NN_FLOAT32、…
H A Dneural__network__runtime__type_8h.md69 …_UINT32 = 8, OH_NN_UINT64 = 9, OH_NN_FLOAT16 = 10, OH_NN_FLOAT32 = 11,OH_NN_FLOAT64 = 12<br/>} | N…
/ohos5.0/docs/en/application-dev/reference/apis-neural-network-runtime-kit/
H A Dneural__network__runtime__type_8h.md69 …_UINT32 = 8, OH_NN_UINT64 = 9, OH_NN_FLOAT16 = 10, OH_NN_FLOAT32 = 11,OH_NN_FLOAT64 = 12<br>} | Da…
H A D_neural_network_runtime.md70 …T32 = 8, OH_NN_UINT64 = 9, OH_NN_FLOAT16 = 10, OH_NN_FLOAT32 = 11,<br>OH_NN_FLOAT64 = 12<br>} | Da…
500 | OH_NN_FLOAT64 | float64 type.|
654 …br>Input:<br>- **input**: *n*-dimensional tensor whose data type is **OH_NN_FLOAT64**, **OH_NN_FLO…
655 …br>Input:<br>- **input**: *n*-dimensional tensor whose data type is **OH_NN_FLOAT64**, **OH_NN_FLO…
660 …br>Input:<br>- **input**: *n*-dimensional tensor whose data type is **OH_NN_FLOAT64**, **OH_NN_FLO…
661 …br>Input:<br>- **input**: *n*-dimensional tensor whose data type is **OH_NN_FLOAT64**, **OH_NN_FLO…
665 …br>Input:<br>- **input**: *n*-dimensional tensor whose data type is **OH_NN_FLOAT64**, **OH_NN_FLO…
668 …br>Input:<br>- **input**: *n*-dimensional tensor whose data type is **OH_NN_FLOAT64**, **OH_NN_FLO…
670 …: 2D tensor whose shape is [batchSize, numClasses] and data type is **OH_NN_FLOAT64**, **OH_NN_FLO…
/ohos5.0/foundation/ai/neural_network_runtime/test/unittest/components/v1_0/hdi_prepared_model/
H A Dhdi_prepared_model_test.cpp602 inputTensor.dataType = OH_NN_FLOAT64;
/ohos5.0/foundation/ai/neural_network_runtime/test/unittest/components/v2_0/hdi_prepared_model/
H A Dhdi_prepared_model_test.cpp597 inputTensor.dataType = OH_NN_FLOAT64;
/ohos5.0/foundation/ai/neural_network_runtime/test/unittest/components/v2_1/hdi_prepared_model/
H A Dhdi_prepared_model_test.cpp596 inputTensor.dataType = OH_NN_FLOAT64;