NVIDIA nvmath-python
0.1.0

Contents

  • Release Notes
    • nvmath-python v0.1.0
    • Disclaimer
  • Overview
    • Architecture
    • Host APIs
      • Effortless Interoperability
      • Stateless and Stateful APIs
      • Generic and Specialized APIs
      • Full Logging Support
      • Call Blocking Behavior
      • Stream Semantics
      • Memory Management
      • Common Objects (nvmath)
        • nvmath.BaseCUDAMemoryManager
        • nvmath.MemoryPointer
    • Device APIs
    • Compatibility Policy
  • Getting Started
    • Install nvmath-python
      • Install from PyPI
      • Install from conda
      • Build from source
      • Cheatsheet
      • Test Configuration
    • Run nvmath-python
      • Shared libraries
      • Headers
      • Host APIs
        • Examples
        • Tests
      • Device APIs
        • Examples
        • Tests
    • Troubleshooting
  • Linear Algebra
    • Overview
    • API Reference
      • Generic Linear Algebra APIs (nvmath.linalg)
      • Specialized Linear Algebra APIs (nvmath.linalg.advanced)
        • nvmath.linalg.advanced.matmul
        • nvmath.linalg.advanced.matrix_qualifiers_dtype
        • nvmath.linalg.advanced.Algorithm
        • nvmath.linalg.advanced.Matmul
        • nvmath.linalg.advanced.MatmulComputeType
        • nvmath.linalg.advanced.MatmulEpilog
        • nvmath.linalg.advanced.MatmulInnerShape
        • nvmath.linalg.advanced.MatmulNumericalImplFlags
        • nvmath.linalg.advanced.MatmulReductionScheme
        • nvmath.linalg.advanced.MatmulOptions
        • nvmath.linalg.advanced.MatmulPlanPreferences
  • Fast Fourier Transform
    • Overview
    • Host API Reference
      • FFT support (nvmath.fft)
        • nvmath.fft.fft
        • nvmath.fft.ifft
        • nvmath.fft.rfft
        • nvmath.fft.irfft
        • nvmath.fft.UnsupportedLayoutError
        • nvmath.fft.FFT
        • nvmath.fft.FFTOptions
        • nvmath.fft.FFTDirection
        • nvmath.fft.DeviceCallable
  • Device APIs
    • Overview
    • API Reference
      • Utility APIs (nvmath.device)
        • nvmath.device.current_device_lto
        • nvmath.device.float16x2
        • nvmath.device.float16x4
        • nvmath.device.float32x2
        • nvmath.device.float64x2
        • nvmath.device.float16x2_type
        • nvmath.device.float16x4_type
        • nvmath.device.float32x2_type
        • nvmath.device.float64x2_type
        • nvmath.device.ISAVersion
        • nvmath.device.Code
        • nvmath.device.CodeType
        • nvmath.device.ComputeCapability
        • nvmath.device.CodeType
        • nvmath.device.Symbol
        • nvmath.device.Dim3
      • cuBLASDx APIs (nvmath.device)
        • nvmath.device.matmul
        • nvmath.device.BlasOptions
        • nvmath.device.LeadingDimension
        • nvmath.device.TransposeMode
      • cuFFTDx APIs (nvmath.device)
        • nvmath.device.fft
        • nvmath.device.FFTOptions
  • Bindings
    • Overview
    • Naming & Calling Convention
    • Memory management
      • Pointer and data lifetime
    • API Reference
      • cuBLAS (nvmath.bindings.cublas)
        • Enums and constants
        • Functions
      • cuBLASLt (nvmath.bindings.cublaslt)
        • Enums and constants
        • Functions
      • cuFFT (nvmath.bindings.cufft)
        • Enums and constants
        • Functions
      • cuSOLVER (nvmath.bindings.cusolver)
        • Enums and constants
        • Functions
      • cuSOLVERDn (nvmath.bindings.cusolverDn)
        • Enums and constants
        • Functions
      • cuSPARSE (nvmath.bindings.cusparse)
        • Enums and constants
        • Functions
      • cuRAND (nvmath.bindings.curand)
        • Enums and constants
        • Functions
  • Code of Conduct
    • Overview
    • Our Pledge
    • Our Standards
    • Our Responsibilities
    • Scope
    • Enforcement
    • Attribution
  • Contributing
  • License
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NVIDIA nvmath-python v: 0.1.0