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82 Commits

Author SHA1 Message Date
David Mak 4730b595f3 core/builtins: Add np_array function 2024-06-11 16:42:08 +08:00
David Mak 210d9e2334 core: Add more creator functions for ProxyType 2024-06-11 15:26:37 +08:00
David Mak 520e1adc56 core/builtins: Add np_minimum/np_maximum 2024-05-09 15:01:20 +08:00
David Mak 73e81259f3 core/builtins: Add np_min/np_max 2024-05-09 15:01:20 +08:00
David Mak 30c6cffbad core/builtins: Refactored numpy builtins to accept scalar and ndarrays 2024-05-06 15:38:29 +08:00
David Mak 51671800b6 core/builtins: Extract codegen portion into functions 
We will need to reuse them when implementing elementwise function
application for ndarrays.
 2024-05-06 13:21:54 +08:00
David Mak 7195476edb core/builtins: Add llvm_intrinsics prefix 2024-05-06 13:21:54 +08:00
David Mak eecba0b71d core: Add GenCall::create_dummy 
A simple abstraction for GenCalls that are already handled elsewhere.
 2024-05-06 13:21:54 +08:00
David Mak f58c3a11f8 core/builtins: Rework handling of PrimitiveStore-Unifier tuples 2024-05-06 13:21:54 +08:00
David Mak d0766a116f core: Remove Box from GenCallCallback type alias 
So that references to the function type can be taken.
 2024-05-06 13:21:54 +08:00
David Mak 64a3751fc2 core: Remove custom function type definitions for ndarray operators 2024-05-06 13:21:54 +08:00
David Mak 5dfcc63978 core/classes: Take reference of indexes 2024-04-16 17:20:24 +08:00
David Mak 6af13a8261 core: Implement elementwise binary operators 
Including immediate variants of these operators.
 2024-04-03 00:07:33 +08:00
David Mak d5f4817134 core/builtins: Fix len() on ndarrays 2024-04-01 16:48:24 +08:00
David Mak 1b77e62901 core: Split numpy into codegen and toplevel 2024-03-22 15:07:28 +08:00
David Mak c3b122acfc core: Implement `ndarray.copy` 2024-03-07 14:59:13 +08:00
David Mak 96b7f29679 core: Implement `ndarray.fill` 2024-03-07 14:59:13 +08:00
David Mak b26cb2b360 core: Express member func def IDs as offsets from class def ID 2024-03-06 12:24:39 +08:00
David Mak 2317516cf6 core: Use tvars from ndarray for class definition 2024-03-04 23:58:02 +08:00
David Mak 77de24ef74 core: Use BTreeMap for type variable mapping 
There have been multiple instances where I had the need to iterate over
type variables, only to discover that the traversal order is arbitrary.

This commit fixes that by adding SortedMapping, which utilizes BTreeMap
internally to guarantee a traversal order. All instances of VarMap are
now refactored to use this to ensure that type variables are iterated in
 the order of its variable ID, which should be monotonically incremented
 by the unifier.
 2024-03-04 23:56:04 +08:00
David Mak 234a6bde2a core: Use TObj for NDArray 2024-03-01 15:41:55 +08:00
David Mak c3db6297d9 core: Add primitive definition-id list 
So that we have a single ground truth for the definition IDs of
primitive types.
 2024-03-01 11:29:10 +08:00
David Mak 82fdb02d13 core: Extract LLVM intrinsic functions to their functions 2024-02-23 15:41:06 +08:00
David Mak 49de81ef1e core: Apply clippy suggestions 2024-02-23 15:41:06 +08:00
David Mak 8492503af2 core: Update cargo dependencies 2024-02-23 15:41:04 +08:00
David Mak 148900302e core: Add RangeValue and helper functions 2024-01-25 15:51:39 +08:00
David Mak 140f8f8a08 core: Implement most ndarray-creation functions 2023-12-22 16:29:55 +08:00
David Mak 27fcf8926e core: Implement ndarray constructor and numpy.empty 2023-12-22 16:29:54 +08:00
David Mak c395472094 core: Initial infrastructure for ndarray 2023-12-21 15:39:46 +08:00
David Mak a19f1065e3 meta: Refactor to use more let-else bindings 2023-12-12 16:31:14 +08:00
David Mak 02933753ca core: Apply clippy pedantic changes 2023-12-11 15:16:23 +08:00
David Mak d304afd333 meta: Apply clippy suggested changes 2023-12-11 15:16:23 +08:00
David Mak 5182453bd9 meta: Remove redundant path prefixes 2023-12-11 15:16:23 +08:00
David Mak 68b97347b1 core: Infer builtins name list using builtin declaration list 2023-12-08 17:29:34 +08:00
David Mak 5c5620692f core: Add np_{round,floor,ceil} 
These functions are NumPy variants of round/floor/ceil, which returns
floats instead of ints.
 2023-11-23 13:45:07 +08:00
David Mak 0af1e37e99 core: Prefix all NumPy/SciPy functions with np_/sp_spec 2023-11-23 13:35:23 +08:00
David Mak 08a5050f9a core: Implement non-trivial builtin functions using IRRT 2023-11-06 12:57:23 +08:00
David Mak fd787ca3f5 core: Remove trunc 
The behavior of trunc is already implemented by casts and is therefore
redundant.
 2023-11-04 13:35:53 +08:00
David Mak 4dbe07a0c0 core: Revert breaking changes to round-family functions 
These functions should return ints as the math.* functions do instead of
following the convention of numpy.* functions.
 2023-11-04 13:35:53 +08:00
David Mak 2e055e8ab1 core: Replace rint implementation with LLVM intrinsic 2023-11-04 13:35:53 +08:00
David Mak c6b9aefe00 core: Fix int32-to-uint64 conversion 
This conversion should be sign-extended.
 2023-11-03 16:24:26 +08:00
David Mak 8ad09748d0 core: Fix conversion from float to unsigned types 
These conversions also need to wraparound.
 2023-11-03 16:24:26 +08:00
David Mak 7a5a2db842 core: Fix handling of float-to-int32 casts 
Out-of-bound conversions should be wrapped around.
 2023-11-03 16:24:26 +08:00
David Mak ff1fed112c core: Rework gamma/gammaln to match SciPy behavior 
Matches behavior for infinities and NaNs.
 2023-11-01 18:03:29 +08:00
David Mak 2b635a0b97 core: Implement numpy and scipy functions 2023-11-01 18:03:29 +08:00
David Mak 60ad100fbb core: Implement and expose {isinf,isnan} 2023-11-01 18:03:29 +08:00
David Mak 7cf7634985 core: Add create_fn_by_* functions 
Used for abstracting the creation of function from different sources.
 2023-11-01 18:03:29 +08:00
David Mak 068f0d9faf core: Do not cast floor/ceil result to int 
NumPy explicitly states that the return type of the floor/ceil is float.
 2023-11-01 18:03:29 +08:00
David Mak 95810d4229 core: Remove {ceil64,floor64,round,round64} 
These are not present in NumPy or Artiq.
 2023-11-01 18:03:29 +08:00
David Mak 60a503a791 core: Allocate more stack variables at the beginning of function 
All allocas for temporary objects are now placed in the beginning of the
function. Allocas for on-temporary objects are not modified because
these variables may appear in a loop and thus must be uniquely
allocated by different allocas.
 2023-10-06 11:42:47 +08:00