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Metatensor
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  • Metatensor’s goals
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    • Overview
    • Python API reference
      • TensorMap
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      • Miscellaneous
    • C++ API reference
      • TensorMap
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    • C API reference
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    • Rust API reference
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      • First steps with metatensor
      • Handling sparsity
      • Managing gradients
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    • Operations and PyTorch
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      • Creation operations
        • empty_like()
        • ones_like()
        • zeros_like()
        • random_like()
        • block_from_array()
      • Linear algebra
        • dot()
        • lstsq()
        • solve()
      • Logic function
        • allclose()
        • equal()
        • equal_metadata()
        • is_contiguous()
      • Manipulation operations
        • detach()
        • drop_blocks()
        • join()
        • make_contiguous()
        • manipulate dimension
        • one_hot()
        • remove_gradients()
        • requires_grad()
        • samples reduction
        • slice()
        • split()
      • Mathematical functions
        • abs()
        • add()
        • divide()
        • multiply()
        • pow()
        • subtract()
      • Set operations
        • unique_metadata()
        • sort()
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  • TorchScript backend
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        • TensorMap
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  • Learning utilities
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      • Data utilites
      • Neural Network
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      • Using IndexedDataset
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      • Systems
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        • Exporting models
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      • Atomic Simulation Environment (ASE) integration
      • C++ API reference
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    • Standard model outputs
    • Tutorials
      • Exporting a model
      • Running Molecular Dynamics with ASE
      • Creating models that use neighbor lists
      • Profiling your models
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divide¶

metatensor.divide(A: TensorMap, B: float | int | TensorMap) → TensorMap[source]¶
Parameters:

  • A (TensorMap)

  • B (float | int | TensorMap)

Return type:

TensorMap

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  • divide
    • divide()