d4555698f8
The names of the functions that are supposed to be exported do not match the implementations. This is due in part to cac7aabbd8.
This change makes the implementations and declarations match and adds a couple missing declarations.
The new names follow the pattern of the existing `verify` functions where the prefix is maintained as `_mlir_ciface_` but the suffix follows the new naming convention.
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D124891
395 lines
13 KiB
Python
395 lines
13 KiB
Python
# RUN: %PYTHON %s 2>&1 | FileCheck %s
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# REQUIRES: llvm_has_native_target
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import gc, sys
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from mlir.ir import *
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from mlir.passmanager import *
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from mlir.execution_engine import *
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from mlir.runtime import *
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# Log everything to stderr and flush so that we have a unified stream to match
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# errors/info emitted by MLIR to stderr.
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def log(*args):
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print(*args, file=sys.stderr)
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sys.stderr.flush()
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def run(f):
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log("\nTEST:", f.__name__)
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f()
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gc.collect()
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assert Context._get_live_count() == 0
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# Verify capsule interop.
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# CHECK-LABEL: TEST: testCapsule
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def testCapsule():
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with Context():
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module = Module.parse(r"""
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llvm.func @none() {
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llvm.return
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}
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""")
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execution_engine = ExecutionEngine(module)
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execution_engine_capsule = execution_engine._CAPIPtr
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# CHECK: mlir.execution_engine.ExecutionEngine._CAPIPtr
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log(repr(execution_engine_capsule))
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execution_engine._testing_release()
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execution_engine1 = ExecutionEngine._CAPICreate(execution_engine_capsule)
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# CHECK: _mlirExecutionEngine.ExecutionEngine
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log(repr(execution_engine1))
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run(testCapsule)
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# Test invalid ExecutionEngine creation
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# CHECK-LABEL: TEST: testInvalidModule
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def testInvalidModule():
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with Context():
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# Builtin function
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module = Module.parse(r"""
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func.func @foo() { return }
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""")
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# CHECK: Got RuntimeError: Failure while creating the ExecutionEngine.
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try:
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execution_engine = ExecutionEngine(module)
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except RuntimeError as e:
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log("Got RuntimeError: ", e)
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run(testInvalidModule)
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def lowerToLLVM(module):
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import mlir.conversions
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pm = PassManager.parse(
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"convert-memref-to-llvm,convert-func-to-llvm,reconcile-unrealized-casts")
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pm.run(module)
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return module
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# Test simple ExecutionEngine execution
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# CHECK-LABEL: TEST: testInvokeVoid
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def testInvokeVoid():
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with Context():
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module = Module.parse(r"""
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func.func @void() attributes { llvm.emit_c_interface } {
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return
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}
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""")
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execution_engine = ExecutionEngine(lowerToLLVM(module))
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# Nothing to check other than no exception thrown here.
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execution_engine.invoke("void")
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run(testInvokeVoid)
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# Test argument passing and result with a simple float addition.
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# CHECK-LABEL: TEST: testInvokeFloatAdd
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def testInvokeFloatAdd():
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with Context():
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module = Module.parse(r"""
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func.func @add(%arg0: f32, %arg1: f32) -> f32 attributes { llvm.emit_c_interface } {
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%add = arith.addf %arg0, %arg1 : f32
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return %add : f32
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}
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""")
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execution_engine = ExecutionEngine(lowerToLLVM(module))
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# Prepare arguments: two input floats and one result.
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# Arguments must be passed as pointers.
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c_float_p = ctypes.c_float * 1
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arg0 = c_float_p(42.)
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arg1 = c_float_p(2.)
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res = c_float_p(-1.)
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execution_engine.invoke("add", arg0, arg1, res)
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# CHECK: 42.0 + 2.0 = 44.0
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log("{0} + {1} = {2}".format(arg0[0], arg1[0], res[0]))
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run(testInvokeFloatAdd)
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# Test callback
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# CHECK-LABEL: TEST: testBasicCallback
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def testBasicCallback():
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# Define a callback function that takes a float and an integer and returns a float.
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@ctypes.CFUNCTYPE(ctypes.c_float, ctypes.c_float, ctypes.c_int)
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def callback(a, b):
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return a / 2 + b / 2
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with Context():
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# The module just forwards to a runtime function known as "some_callback_into_python".
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module = Module.parse(r"""
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func.func @add(%arg0: f32, %arg1: i32) -> f32 attributes { llvm.emit_c_interface } {
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%resf = call @some_callback_into_python(%arg0, %arg1) : (f32, i32) -> (f32)
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return %resf : f32
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}
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func.func private @some_callback_into_python(f32, i32) -> f32 attributes { llvm.emit_c_interface }
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""")
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execution_engine = ExecutionEngine(lowerToLLVM(module))
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execution_engine.register_runtime("some_callback_into_python", callback)
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# Prepare arguments: two input floats and one result.
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# Arguments must be passed as pointers.
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c_float_p = ctypes.c_float * 1
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c_int_p = ctypes.c_int * 1
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arg0 = c_float_p(42.)
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arg1 = c_int_p(2)
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res = c_float_p(-1.)
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execution_engine.invoke("add", arg0, arg1, res)
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# CHECK: 42.0 + 2 = 44.0
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log("{0} + {1} = {2}".format(arg0[0], arg1[0], res[0] * 2))
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run(testBasicCallback)
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# Test callback with an unranked memref
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# CHECK-LABEL: TEST: testUnrankedMemRefCallback
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def testUnrankedMemRefCallback():
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# Define a callback function that takes an unranked memref, converts it to a numpy array and prints it.
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@ctypes.CFUNCTYPE(None, ctypes.POINTER(UnrankedMemRefDescriptor))
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def callback(a):
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arr = unranked_memref_to_numpy(a, np.float32)
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log("Inside callback: ")
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log(arr)
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with Context():
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# The module just forwards to a runtime function known as "some_callback_into_python".
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module = Module.parse(r"""
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func.func @callback_memref(%arg0: memref<*xf32>) attributes { llvm.emit_c_interface } {
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call @some_callback_into_python(%arg0) : (memref<*xf32>) -> ()
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return
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}
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func.func private @some_callback_into_python(memref<*xf32>) -> () attributes { llvm.emit_c_interface }
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""")
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execution_engine = ExecutionEngine(lowerToLLVM(module))
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execution_engine.register_runtime("some_callback_into_python", callback)
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inp_arr = np.array([[1.0, 2.0], [3.0, 4.0]], np.float32)
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# CHECK: Inside callback:
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# CHECK{LITERAL}: [[1. 2.]
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# CHECK{LITERAL}: [3. 4.]]
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execution_engine.invoke(
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"callback_memref",
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ctypes.pointer(ctypes.pointer(get_unranked_memref_descriptor(inp_arr))),
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)
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inp_arr_1 = np.array([5, 6, 7], dtype=np.float32)
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strided_arr = np.lib.stride_tricks.as_strided(
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inp_arr_1, strides=(4, 0), shape=(3, 4))
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# CHECK: Inside callback:
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# CHECK{LITERAL}: [[5. 5. 5. 5.]
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# CHECK{LITERAL}: [6. 6. 6. 6.]
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# CHECK{LITERAL}: [7. 7. 7. 7.]]
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execution_engine.invoke(
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"callback_memref",
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ctypes.pointer(
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ctypes.pointer(get_unranked_memref_descriptor(strided_arr))),
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)
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run(testUnrankedMemRefCallback)
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# Test callback with a ranked memref.
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# CHECK-LABEL: TEST: testRankedMemRefCallback
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def testRankedMemRefCallback():
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# Define a callback function that takes a ranked memref, converts it to a numpy array and prints it.
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@ctypes.CFUNCTYPE(
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None,
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ctypes.POINTER(
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make_nd_memref_descriptor(2,
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np.ctypeslib.as_ctypes_type(np.float32))),
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)
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def callback(a):
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arr = ranked_memref_to_numpy(a)
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log("Inside Callback: ")
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log(arr)
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with Context():
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# The module just forwards to a runtime function known as "some_callback_into_python".
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module = Module.parse(r"""
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func.func @callback_memref(%arg0: memref<2x2xf32>) attributes { llvm.emit_c_interface } {
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call @some_callback_into_python(%arg0) : (memref<2x2xf32>) -> ()
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return
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}
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func.func private @some_callback_into_python(memref<2x2xf32>) -> () attributes { llvm.emit_c_interface }
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""")
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execution_engine = ExecutionEngine(lowerToLLVM(module))
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execution_engine.register_runtime("some_callback_into_python", callback)
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inp_arr = np.array([[1.0, 5.0], [6.0, 7.0]], np.float32)
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# CHECK: Inside Callback:
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# CHECK{LITERAL}: [[1. 5.]
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# CHECK{LITERAL}: [6. 7.]]
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execution_engine.invoke(
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"callback_memref",
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ctypes.pointer(ctypes.pointer(get_ranked_memref_descriptor(inp_arr))))
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run(testRankedMemRefCallback)
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# Test addition of two memrefs.
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# CHECK-LABEL: TEST: testMemrefAdd
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def testMemrefAdd():
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with Context():
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module = Module.parse("""
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module {
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func.func @main(%arg0: memref<1xf32>, %arg1: memref<f32>, %arg2: memref<1xf32>) attributes { llvm.emit_c_interface } {
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%0 = arith.constant 0 : index
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%1 = memref.load %arg0[%0] : memref<1xf32>
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%2 = memref.load %arg1[] : memref<f32>
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%3 = arith.addf %1, %2 : f32
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memref.store %3, %arg2[%0] : memref<1xf32>
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return
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}
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} """)
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arg1 = np.array([32.5]).astype(np.float32)
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arg2 = np.array(6).astype(np.float32)
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res = np.array([0]).astype(np.float32)
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arg1_memref_ptr = ctypes.pointer(
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ctypes.pointer(get_ranked_memref_descriptor(arg1)))
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arg2_memref_ptr = ctypes.pointer(
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ctypes.pointer(get_ranked_memref_descriptor(arg2)))
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res_memref_ptr = ctypes.pointer(
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ctypes.pointer(get_ranked_memref_descriptor(res)))
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execution_engine = ExecutionEngine(lowerToLLVM(module))
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execution_engine.invoke("main", arg1_memref_ptr, arg2_memref_ptr,
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res_memref_ptr)
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# CHECK: [32.5] + 6.0 = [38.5]
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log("{0} + {1} = {2}".format(arg1, arg2, res))
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run(testMemrefAdd)
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# Test addition of two 2d_memref
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# CHECK-LABEL: TEST: testDynamicMemrefAdd2D
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def testDynamicMemrefAdd2D():
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with Context():
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module = Module.parse("""
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module {
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func.func @memref_add_2d(%arg0: memref<2x2xf32>, %arg1: memref<?x?xf32>, %arg2: memref<2x2xf32>) attributes {llvm.emit_c_interface} {
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%c0 = arith.constant 0 : index
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%c2 = arith.constant 2 : index
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%c1 = arith.constant 1 : index
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cf.br ^bb1(%c0 : index)
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^bb1(%0: index): // 2 preds: ^bb0, ^bb5
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%1 = arith.cmpi slt, %0, %c2 : index
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cf.cond_br %1, ^bb2, ^bb6
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^bb2: // pred: ^bb1
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%c0_0 = arith.constant 0 : index
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%c2_1 = arith.constant 2 : index
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%c1_2 = arith.constant 1 : index
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cf.br ^bb3(%c0_0 : index)
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^bb3(%2: index): // 2 preds: ^bb2, ^bb4
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%3 = arith.cmpi slt, %2, %c2_1 : index
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cf.cond_br %3, ^bb4, ^bb5
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^bb4: // pred: ^bb3
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%4 = memref.load %arg0[%0, %2] : memref<2x2xf32>
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%5 = memref.load %arg1[%0, %2] : memref<?x?xf32>
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%6 = arith.addf %4, %5 : f32
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memref.store %6, %arg2[%0, %2] : memref<2x2xf32>
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%7 = arith.addi %2, %c1_2 : index
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cf.br ^bb3(%7 : index)
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^bb5: // pred: ^bb3
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%8 = arith.addi %0, %c1 : index
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cf.br ^bb1(%8 : index)
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^bb6: // pred: ^bb1
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return
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}
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}
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""")
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arg1 = np.random.randn(2, 2).astype(np.float32)
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arg2 = np.random.randn(2, 2).astype(np.float32)
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res = np.random.randn(2, 2).astype(np.float32)
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arg1_memref_ptr = ctypes.pointer(
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ctypes.pointer(get_ranked_memref_descriptor(arg1)))
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arg2_memref_ptr = ctypes.pointer(
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ctypes.pointer(get_ranked_memref_descriptor(arg2)))
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res_memref_ptr = ctypes.pointer(
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ctypes.pointer(get_ranked_memref_descriptor(res)))
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execution_engine = ExecutionEngine(lowerToLLVM(module))
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execution_engine.invoke("memref_add_2d", arg1_memref_ptr, arg2_memref_ptr,
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res_memref_ptr)
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# CHECK: True
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log(np.allclose(arg1 + arg2, res))
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run(testDynamicMemrefAdd2D)
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# Test loading of shared libraries.
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# CHECK-LABEL: TEST: testSharedLibLoad
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def testSharedLibLoad():
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with Context():
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module = Module.parse("""
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module {
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func.func @main(%arg0: memref<1xf32>) attributes { llvm.emit_c_interface } {
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%c0 = arith.constant 0 : index
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%cst42 = arith.constant 42.0 : f32
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memref.store %cst42, %arg0[%c0] : memref<1xf32>
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%u_memref = memref.cast %arg0 : memref<1xf32> to memref<*xf32>
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call @printMemrefF32(%u_memref) : (memref<*xf32>) -> ()
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return
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}
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func.func private @printMemrefF32(memref<*xf32>) attributes { llvm.emit_c_interface }
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} """)
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arg0 = np.array([0.0]).astype(np.float32)
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arg0_memref_ptr = ctypes.pointer(
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ctypes.pointer(get_ranked_memref_descriptor(arg0)))
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execution_engine = ExecutionEngine(
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lowerToLLVM(module),
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opt_level=3,
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shared_libs=[
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"../../../../lib/libmlir_runner_utils.so",
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"../../../../lib/libmlir_c_runner_utils.so"
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])
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execution_engine.invoke("main", arg0_memref_ptr)
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# CHECK: Unranked Memref
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# CHECK-NEXT: [42]
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run(testSharedLibLoad)
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# Test that nano time clock is available.
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# CHECK-LABEL: TEST: testNanoTime
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def testNanoTime():
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with Context():
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module = Module.parse("""
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module {
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func.func @main() attributes { llvm.emit_c_interface } {
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%now = call @nanoTime() : () -> i64
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%memref = memref.alloca() : memref<1xi64>
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%c0 = arith.constant 0 : index
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memref.store %now, %memref[%c0] : memref<1xi64>
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%u_memref = memref.cast %memref : memref<1xi64> to memref<*xi64>
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call @printMemrefI64(%u_memref) : (memref<*xi64>) -> ()
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return
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}
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func.func private @nanoTime() -> i64 attributes { llvm.emit_c_interface }
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func.func private @printMemrefI64(memref<*xi64>) attributes { llvm.emit_c_interface }
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}""")
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execution_engine = ExecutionEngine(
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lowerToLLVM(module),
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opt_level=3,
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shared_libs=[
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"../../../../lib/libmlir_runner_utils.so",
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"../../../../lib/libmlir_c_runner_utils.so"
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])
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execution_engine.invoke("main")
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# CHECK: Unranked Memref
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# CHECK: [{{.*}}]
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run(testNanoTime)
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