Tensor_float32() — pytorch Function Reference
Architecture documentation for the Tensor_float32() function in Tensor.java from the pytorch codebase.
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Dependency Diagram
graph TD e3be0d59_52d8_641b_e35d_ee2cbba07acb["Tensor_float32()"] 7d987baf_1d44_31d6_f128_18964ed36ba8["fromBlob()"] 7d987baf_1d44_31d6_f128_18964ed36ba8 -->|calls| e3be0d59_52d8_641b_e35d_ee2cbba07acb d50225be_5454_b26a_269e_76ae3e7e49e5["nativeNewTensor()"] d50225be_5454_b26a_269e_76ae3e7e49e5 -->|calls| e3be0d59_52d8_641b_e35d_ee2cbba07acb style e3be0d59_52d8_641b_e35d_ee2cbba07acb fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
android/pytorch_android/src/main/java/org/pytorch/Tensor.java lines 586–589
Tensor_float32(FloatBuffer data, long[] shape, MemoryFormat memoryFormat) {
super(shape, memoryFormat);
this.data = data;
}
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Frequently Asked Questions
What does Tensor_float32() do?
Tensor_float32() is a function in the pytorch codebase.
What calls Tensor_float32()?
Tensor_float32() is called by 2 function(s): fromBlob, nativeNewTensor.
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