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* Add nvptx pass * Fix spaces * Don't change name * Add runtime support * Add init call * Add more runtime functions * Add launch function * Add intrinsics * Fix codegen * Run GPU pass between general opt passes * Set data layout * Create context * Link libdevice * Add function remapping * Fix linkage * Fix libdevice link * Fix linking * Fix personality * Fix linking * Fix linking * Fix linking * Add internalize pass * Add more math conversions * Add more re-mappings * Fix conversions * Fix __str__ * Add decorator attribute for any decorator * Update kernel decorator * Fix kernel decorator * Fix kernel decorator * Fix kernel decorator * Fix kernel decorator * Remove old decorator * Fix pointer calc * Fix fill-in codegen * Fix linkage * Add comment * Update list conversion * Add more conversions * Add dict and set conversions * Add float32 type to IR/LLVM * Add float32 * Add float32 stdlib * Keep required global values in PTX module * Fix PTX module pruning * Fix malloc * Set will-return * Fix name cleanup * Fix access * Fix name cleanup * Fix function renaming * Update dimension API * Fix args * Clean up API * Move GPU transformations to end of opt pipeline * Fix alloc replacements * Fix naming * Target PTX 4.2 * Fix global renaming * Fix early return in static blocks; Add __realized__ function * Format * Add __llvm_name__ for functions * Add vector type to IR * SIMD support [wip] * Update kernel naming * Fix early returns; Fix SIMD calls * Fix kernel naming * Fix IR matcher * Remove module print * Update realloc * Add overloads for 32-bit float math ops * Add gpu.Pointer type for working with raw pointers * Add float32 conversion * Add to_gpu and from_gpu * clang-format * Add f32 reduction support to OpenMP * Fix automatic GPU class conversions * Fix conversion functions * Fix conversions * Rename self * Fix tuple conversion * Fix conversions * Fix conversions * Update PTX filename * Fix filename * Add raw function * Add GPU docs * Allow nested object conversions * Add tests (WIP) * Update SIMD * Add staticrange and statictuple loop support * SIMD updates * Add new Vec constructors * Fix UInt conversion * Fix size-0 allocs * Add more tests * Add matmul test * Rename gpu test file * Add more tests * Add alloc cache * Fix object_to_gpu * Fix frees * Fix str conversion * Fix set conversion * Fix conversions * Fix class conversion * Fix str conversion * Fix byte conversion * Fix list conversion * Fix pointer conversions * Fix conversions * Fix conversions * Update tests * Fix conversions * Fix tuple conversion * Fix tuple conversion * Fix auto conversions * Fix conversion * Fix magics * Update tests * Support GPU in JIT mode * Fix GPU+JIT * Fix kernel filename in JIT mode * Add __static_print__; Add earlyDefines; Various domination bugfixes; SimplifyContext RAII base handling * Fix global static handling * Fix float32 tests * FIx gpu module * Support OpenMP "collapse" option * Add more collapse tests * Capture generics and statics * TraitVar handling * Python exceptions / isinstance [wip; no_ci] * clang-format * Add list comparison operators * Support empty raise in IR * Add dict 'or' operator * Fix repr * Add copy module * Fix spacing * Use sm_30 * Python exceptions * TypeTrait support; Fix defaultDict * Fix earlyDefines * Add defaultdict * clang-format * Fix invalid canonicalizations * Fix empty raise * Fix copyright * Add Python numerics option * Support py-numerics in math module * Update docs * Add static Python division / modulus * Add static py numerics tests * Fix staticrange/tuple; Add KwTuple.__getitem__ * clang-format * Add gpu parameter to par * Fix globals * Don't init loop vars on loop collapse * Add par-gpu tests * Update gpu docs * Fix isinstance check * Remove invalid test * Add -libdevice to set custom path [skip ci] * Add release notes; bump version [skip ci] * Add libdevice docs [skip ci] Co-authored-by: Ibrahim Numanagić <ibrahimpasa@gmail.com>
47 lines
1.7 KiB
Markdown
47 lines
1.7 KiB
Markdown
While Codon's syntax and semantics are virtually identical
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to Python's, there are some notable differences that are
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worth mentioning. Most of these design decisions were made
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with the trade-off between performance and Python compatibility
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in mind.
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# Data types
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- **Integers:** Codon's `int` is a 64-bit signed integer,
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whereas Python's (after version 3) can be arbitrarily large.
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However Codon does support larger integers via `Int[N]` where
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`N` is the bit width.
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- **Strings:** Codon currently uses ASCII strings unlike
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Python's unicode strings.
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- **Dictionaries:** Codon's dictionary type is not sorted
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internally, unlike Python's.
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# Type checking
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Since Codon performs static type checking ahead of time, a
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few of Python's dynamic features are disallowed. For example,
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monkey patching classes at runtime (although Codon supports a
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form of this at compile time) or adding objects of different
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types to a collection.
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These few restrictions are ultimately what allow Codon to
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compile to native code without any runtime performance overhead.
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Future versions of Codon will lift some of these restrictions
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by the introduction of e.g. implicit union types.
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# Numerics
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For performance reasons, some numeric operations use C semantics
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rather than Python semantics. This includes, for example, raising
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an exception when dividing by zero, or other checks done by `math`
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functions. Strict adherence to Python semantics can be achieved by
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using the `-numerics=py` flag of the Codon compiler. Note that this
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does *not* change `int`s from 64-bit.
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# Modules
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While most of the commonly used builtin modules have Codon-native
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implementations, a few are not yet implemented. However these can
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still be used within Codon via `from python import`.
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