Index

_

__init__() (Rewrite method)

_DeviceContextManager (class in numba.cuda.cudadrv.devices)

A

accumulate() (numba.DUFunc method) apply() (Rewrite method) array (numba.cuda.local attribute) (numba.cuda.shared attribute) array_like (numba.cuda.const attribute) at() (numba.DUFunc method)

atomic (class in numba.cuda) atomic.add (class in numba.cuda) atomic.max (class in numba.cuda) auto_synchronize() (numba.cuda.cudadrv.driver.Stream method) AutoJitCUDAKernel (class in numba.cuda.compiler)

B

bind() (numba.cuda.compiler.CUDAKernel method) blockDim() (in module numba.cuda)

blockIdx() (in module numba.cuda)

C

close() (in module numba.cuda) compile-time constant compute_capability (numba.cuda.cudadrv.driver.Device attribute) const (class in numba.cuda) Context (class in numba.cuda.cudadrv.driver)

copy_to_device() (numba.cuda.cudadrv.devicearray.DeviceNDArray method) (numba.cuda.cudadrv.devicearray.DeviceRecord method) (numba.cuda.cudadrv.devicearray.MappedNDArray method) copy_to_host() (numba.cuda.cudadrv.devicearray.DeviceNDArray method) (numba.cuda.cudadrv.devicearray.DeviceRecord method) (numba.cuda.cudadrv.devicearray.MappedNDArray method) CUDAKernel (class in numba.cuda.compiler) current_context() (in module numba.cuda)

D

detect() (in module numba.cuda) device (numba.cuda.compiler.CUDAKernel attribute) device_array() (in module numba.cuda) device_array_like() (in module numba.cuda)

DeviceNDArray (class in numba.cuda.cudadrv.devicearray) DeviceRecord (class in numba.cuda.cudadrv.devicearray) Dispatcher (built-in class)

E

environment variable NUMBA_COMPATIBILITY_MODE NUMBA_DEBUG NUMBA_DEBUG_FRONTEND NUMBA_DISABLE_CUDA NUMBA_DISABLE_JIT, [1], [2] NUMBA_DUMP_ANNOTATION, [1] NUMBA_DUMP_ASSEMBLY, [1] NUMBA_DUMP_BYTECODE NUMBA_DUMP_CFG NUMBA_DUMP_FUNC_OPT NUMBA_DUMP_IR, [1], [2] NUMBA_DUMP_LLVM, [1] NUMBA_DUMP_OPTIMIZED, [1], [2], [3] NUMBA_ENABLE_AVX NUMBA_ENABLE_CUDASIM, [1], [2] NUMBA_FORCE_CUDA_CC NUMBA_LOOP_VECTORIZE NUMBA_OPT NUMBA_WARNINGS, [1] Event (class in numba.cuda.cudadrv.driver)

event() (in module numba.cuda) event_elapsed_time() (in module numba.cuda)

G

get_current_device() (in module numba.cuda) get_memory_info() (numba.cuda.cudadrv.driver.Context method)

gpus (numba.cuda attribute) (numba.cuda.cudadrv.devices attribute) gridDim() (in module numba.cuda)

I

id (numba.cuda.cudadrv.driver.Device attribute) identity (numba.DUFunc attribute) inspect_asm() (Dispatcher method) (numba.cuda.compiler.AutoJitCUDAKernel method) (numba.cuda.compiler.CUDAKernel method) inspect_llvm() (Dispatcher method) (numba.cuda.compiler.AutoJitCUDAKernel method) (numba.cuda.compiler.CUDAKernel method)

inspect_types() (Dispatcher method) (numba.cuda.compiler.AutoJitCUDAKernel method) (numba.cuda.compiler.CUDAKernel method) is_available() (in module numba.cuda) is_c_contiguous() (numba.cuda.cudadrv.devicearray.DeviceNDArray method) is_f_contiguous() (numba.cuda.cudadrv.devicearray.DeviceNDArray method)

J

JIT function

jit() (in module numba.cuda)

L

list_devices() (in module numba.cuda) local (class in numba.cuda)

loop-jitting loop-lifting

M

mapped() (in module numba.cuda) mapped_array() (in module numba.cuda)

MappedNDArray (class in numba.cuda.cudadrv.devicearray) match() (Rewrite method)

N

name (numba.cuda.cudadrv.driver.Device attribute) nargs (numba.DUFunc attribute) nin (numba.DUFunc attribute) nopython mode nout (numba.DUFunc attribute) ntypes (numba.DUFunc attribute) numba.cuda.cudadrv.driver.Device (built-in class) numba.cuda.gpus.current() (built-in function) numba.cuda.grid() (built-in function) numba.cuda.gridsize() (built-in function) numba.DUFunc (built-in class) numba.from_dtype() (built-in function) numba.guvectorize() (built-in function) numba.jit() (built-in function)

numba.optional (built-in class) numba.types.Array (built-in class) numba.types.NPDatetime (built-in class) numba.types.NPTimedelta (built-in class) numba.vectorize() (built-in function) NUMBA_DISABLE_JIT, [1] NUMBA_DUMP_ANNOTATION NUMBA_DUMP_ASSEMBLY NUMBA_DUMP_IR, [1] NUMBA_DUMP_LLVM NUMBA_DUMP_OPTIMIZED, [1], [2] NUMBA_ENABLE_CUDASIM, [1] NUMBA_WARNINGS

O

object mode

outer() (numba.DUFunc method)

P

pinned() (in module numba.cuda) pinned_array() (in module numba.cuda) pipeline (Rewrite attribute) pop() (numba.cuda.cudadrv.driver.Context method) profile_start() (in module numba.cuda) profile_stop() (in module numba.cuda)

profiling() (in module numba.cuda) ptx (numba.cuda.compiler.CUDAKernel attribute) push() (numba.cuda.cudadrv.driver.Context method) py_func (Dispatcher attribute) Python Enhancement Proposals PEP 7 PEP 8

Q

query() (numba.cuda.cudadrv.driver.Event method)

R

ravel() (numba.cuda.cudadrv.devicearray.DeviceNDArray method) recompile() (Dispatcher method) record() (numba.cuda.cudadrv.driver.Event method) reduce() (numba.DUFunc method) reduceat() (numba.DUFunc method)

require_context() (in module numba.cuda) reset() (numba.cuda.cudadrv.driver.Context method) (numba.cuda.cudadrv.driver.Device method) reshape() (numba.cuda.cudadrv.devicearray.DeviceNDArray method) Rewrite (built-in class)

S

select_device() (in module numba.cuda) shared (class in numba.cuda) specialize() (numba.cuda.compiler.AutoJitCUDAKernel method) split() (numba.cuda.cudadrv.devicearray.DeviceNDArray method) (numba.cuda.cudadrv.devicearray.MappedNDArray method)

Stream (class in numba.cuda.cudadrv.driver) stream() (in module numba.cuda) synchronize() (in module numba.cuda) (numba.cuda.cudadrv.driver.Event method) (numba.cuda.cudadrv.driver.Stream method) syncthreads() (in module numba.cuda)

T

threadIdx() (in module numba.cuda) to_device() (in module numba.cuda)

type inference types (numba.DUFunc attribute)

U

ufunc (numba.DUFunc attribute)

W

wait() (numba.cuda.cudadrv.driver.Event method)