【complex op No.4】support complex for bmm #64603
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luotao1 changed the title 
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| class TestBmmOpCaseComplex64(TestBmmOp): | ||
| def setUp(self): | ||
| self.op_type = "bmm" | ||
| self.python_api = paddle.tensor.bmm | ||
| self.public_python_api = paddle.tensor.bmm | ||
| X = ( | ||
| np.random.uniform(1, 5, (10, 3, 4)) | ||
| + 1j * np.random.uniform(1, 5, (10, 3, 4)) | ||
| ).astype("complex64") | ||
| Y = ( | ||
| np.random.uniform(1, 5, (10, 4, 2)) | ||
| + 1j * np.random.uniform(1, 5, (10, 4, 2)) | ||
| ).astype("complex64") | ||
| self.inputs = {'X': X, 'Y': Y} | ||
| Out = np.matmul(X, Y) | ||
| self.outputs = {'Out': Out} | ||
| | ||
| def test_check_output(self): | ||
| self.check_output(check_pir=True, check_prim=False) | ||
| # pass | ||
| | ||
| def test_checkout_grad(self): | ||
| self.check_grad(['X', 'Y'], 'Out', check_pir=True, check_prim=False) | ||
| | ||
| | ||
| class TestBmmOpCaseComplex128(TestBmmOp): | ||
| def setUp(self): | ||
| self.op_type = "bmm" | ||
| self.python_api = paddle.tensor.bmm | ||
| self.public_python_api = paddle.tensor.bmm | ||
| X = ( | ||
| np.random.uniform(1, 5, (10, 3, 4)) | ||
| + 1j * np.random.uniform(1, 5, (10, 3, 4)) | ||
| ).astype("complex128") | ||
| Y = ( | ||
| np.random.uniform(1, 5, (10, 4, 2)) | ||
| + 1j * np.random.uniform(1, 5, (10, 4, 2)) | ||
| ).astype("complex128") | ||
| self.inputs = {'X': X, 'Y': Y} | ||
| Out = np.matmul(X, Y) | ||
| self.outputs = {'Out': Out} | ||
| | ||
| def test_check_output(self): | ||
| self.check_output(check_pir=True, check_prim=False) | ||
| # pass | ||
| | ||
| def test_checkout_grad(self): | ||
| self.check_grad(['X', 'Y'], 'Out', check_pir=True, check_prim=False) |
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参考其他单测，补充一下self.dtype=np.complex64/np.complex218这个设置
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Done，但是本地仍然有较大的误差
| Sorry to inform you that 6c1582f's CIs have passed for more than 7 days. To prevent PR conflicts, you need to re-run all CIs manually. |
|
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| Since you haven't replied for more than a year, we have closed this issue/pr. |
3 participants
PR Category
Others
PR Types
New features
Description
支持bmm的复数类型，bmm前向是直接调用的blas的gemm，因此前向可以直接增加类型即可。反向参考
Paddle/paddle/phi/kernels/impl/matmul_grad_kernel_impl.h
中的matmulgradkernel新增了复数类型。