Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

fix arg_max to select first index #44521

Merged
merged 1 commit into from
Jul 22, 2022
Merged

fix arg_max to select first index #44521

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion paddle/fluid/operators/arg_max_op_mlu.cc
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -72,7 +72,7 @@ class ArgMaxMLUKernel : public framework::OpKernel<T> {
MLUCnnlTensorDesc input_desc(
flatten_x, CNNL_LAYOUT_ARRAY, ToCnnlDataType(flatten_x.dtype()));
MLUCnnlReduceDesc reduction_desc(reduce_dims,
CNNL_REDUCE_MAX_LAST_INDEX,
CNNL_REDUCE_MAX,
ToCnnlDataType<T>(),
CNNL_NOT_PROPAGATE_NAN,
CNNL_REDUCE_ONLY_INDICES,
Expand Down
32 changes: 32 additions & 0 deletions python/paddle/fluid/tests/unittests/mlu/test_arg_max_op_mlu.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -52,6 +52,38 @@ def test_check_output(self):
self.check_output_with_place(self.place)


class TestArgMaxSameValue1(BaseTestCase):

def initTestCase(self):
self.op_type = 'arg_max'
self.dtype = 'float32'
self.axis = 0

def setUp(self):
self.set_mlu()
self.initTestCase()
self.x = np.array([1, 2, 3, 5, 4, 5]).astype(self.dtype)
self.inputs = {'X': self.x}
self.attrs = {'axis': self.axis}
self.outputs = {'Out': np.argmax(self.x, axis=self.axis)}


class TestArgMaxSameValue2(BaseTestCase):

def initTestCase(self):
self.op_type = 'arg_max'
self.dtype = 'float16'
self.axis = 0

def setUp(self):
self.set_mlu()
self.initTestCase()
self.x = np.array([[2, 3, 5, 5], [3, 2, 5, 5]]).astype(self.dtype)
self.inputs = {'X': self.x}
self.attrs = {'axis': self.axis}
self.outputs = {'Out': np.argmax(self.x, axis=self.axis)}


# test argmax, dtype: float16
class TestArgMaxFloat16Case1(BaseTestCase):

Expand Down