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Tensor_float32() — pytorch Function Reference

Architecture documentation for the Tensor_float32() function in Tensor.java from the pytorch codebase.

Entity Profile

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

Relationship Graph

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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