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cutlass/test/python/cutlass/evt/evt_layout_sm80_90.py
2024-01-16 14:37:22 -05:00

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Python

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"""
Unit test for store nodes in SM90
"""
import logging
import unittest
import cutlass
from cutlass.backend import *
from cutlass.epilogue import *
from utils.evt_testbed import EVTTestBed, EVTTestCaseBase
cutlass.set_log_level(logging.WARNING)
@unittest.skipIf(device_cc() not in [80, 86, 89, 90], "This unittest is only supported on CC [80, 86, 89, 90]")
class TestEVTLayout(EVTTestCaseBase):
def test_permute_1(self):
"""
Returning a tensor with shape [m, n]
"""
def evt_permute(accum, alpha, C):
F = alpha * accum
F_permute = permute(F, indices=(0, 2, 1))
D_permute = F_permute + permute(C, indices=(0, 2, 1))
D = permute(D_permute, indices=(0, 2, 1))
return D, F
for m, n, k, l in self.get_problem_sizes(8):
example_inputs = {
"accum": self.fake_tensor(self.element, (l, m, n)),
"alpha": 0.5,
"C": self.fake_tensor(self.element, (l, m, n)),
"F": self.fake_tensor(self.element, (l, m, n)),
"D": self.fake_tensor(self.element, (l, m, n)),
}
launcher = EVTTestBed(self.element, evt_permute, example_inputs)
input_keys = ["C", "alpha"]
result_keys = ["D", "F"]
launcher.verify((m, n, k), input_keys, result_keys, l)
@unittest.skipIf(device_cc() != 90, "This unittest is for cc = Sm90 only")
def test_permute_2(self):
"""
Returning a tensor with shape [m, n]
"""
def evt_permute(accum, alpha, C):
F = alpha * accum
F_permute = permute(F, indices=(0, 2, 1))
D = F_permute + C
return D, F
for m, n, k, l in self.get_problem_sizes(8):
example_inputs = {
"accum": self.fake_tensor(self.element, (l, m, n)),
"alpha": 0.5,
"C": self.fake_tensor(self.element, (l, n, m)),
"F": self.fake_tensor(self.element, (l, m, n)),
"D": self.fake_tensor(self.element, (l, n, m)),
}
launcher = EVTTestBed(self.element, evt_permute, example_inputs)
input_keys = ["C", "alpha"]
result_keys = ["D", "F"]
launcher.verify((m, n, k), input_keys, result_keys, l)
@unittest.skipIf(device_cc() != 90, "This unittest is for cc = Sm90 only")
def test_permute_3(self):
"""
Returning a tensor with shape [m, n]
"""
def evt_permute(accum, alpha, C):
F = alpha * accum
F_permute = permute(F, indices=(1, 0, 2))
D = F_permute + C
return D, F
for m, n, k, l in self.get_problem_sizes(8):
example_inputs = {
"accum": self.fake_tensor(self.element, (l, m, n)),
"alpha": 0.5,
"C": self.fake_tensor(self.element, (m, l, n)),
"F": self.fake_tensor(self.element, (l, m, n)),
"D": self.fake_tensor(self.element, (m, l, n)),
}
launcher = EVTTestBed(self.element, evt_permute, example_inputs)
input_keys = ["C", "alpha"]
result_keys = ["D", "F"]
launcher.verify((m, n, k), input_keys, result_keys, l)
def test_reshape(self):
"""
Test reshape
"""
def evt_reshape(accum, alpha, TensorE):
F = alpha * accum
E_reshape = reshape(TensorE, new_shape=(512, 1))
D = F + E_reshape
return D
example_inputs = {
"accum": self.fake_tensor(self.element, (self.l, self.m, self.n)),
"alpha": 0.5,
"TensorE": self.fake_tensor(self.element, (16, 32)),
"D": self.fake_tensor(self.element, (self.l, self.m, self.n)),
}
launcher = EVTTestBed(self.element, evt_reshape, example_inputs)
input_keys = ["alpha", "TensorE"]
result_keys = ["D"]
launcher.verify(self.problem_size, input_keys, result_keys, self.l)
def test_reshape2(self):
"""
Test reshape
"""
def evt_reshape(accum, alpha, TensorE):
F = alpha * accum
F_reshape = reshape(F, new_shape=(2, 3, 512, 256))
D = F_reshape + TensorE
return D
example_inputs = {
"accum": self.fake_tensor(self.element, (self.l, self.m, self.n)),
"alpha": 0.5,
"TensorE": self.fake_tensor(self.element, (2, 3, 1, self.n)),
"D": self.fake_tensor(self.element, (2, 3, self.m, self.n)),
}
launcher = EVTTestBed(self.element, evt_reshape, example_inputs)
input_keys = ["alpha", "TensorE"]
result_keys = ["D"]
launcher.verify(self.problem_size, input_keys, result_keys, self.l)
if __name__ == '__main__':
unittest.main()