Commit 61a7dc0e authored by wooway777's avatar wooway777
Browse files

issue/666 - Standardized test imports

parent 406c9668
......@@ -5,10 +5,14 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import torch
import infinicore
from framework.base import BaseOperatorTest, TensorSpec, TestCase
from framework import (
BaseOperatorTest,
TensorSpec,
TestCase,
GenericTestRunner,
is_broadcast,
)
from framework.tensor import TensorInitializer
from framework.runner import GenericTestRunner
from framework.utils import is_broadcast
# Test cases format: (input_shape, input_strides_or_None, dim, index_shape, src_shape)
_TEST_CASES_DATA = [
......
......@@ -5,10 +5,14 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import torch
import infinicore
from framework.base import BaseOperatorTest, TensorSpec, TestCase
from framework import (
BaseOperatorTest,
TensorSpec,
TestCase,
GenericTestRunner,
is_broadcast,
)
from framework.tensor import TensorInitializer
from framework.runner import GenericTestRunner
from framework.utils import is_broadcast
# Test cases format: (shape, input_strides, index_strides, src_strides, dim)
_TEST_CASES_DATA = [
......
......@@ -5,10 +5,14 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import torch
import infinicore
from framework.base import BaseOperatorTest, TensorSpec, TestCase
from framework import (
BaseOperatorTest,
TensorSpec,
TestCase,
GenericTestRunner,
is_broadcast,
)
from framework.tensor import TensorInitializer
from framework.runner import GenericTestRunner
from framework.utils import is_broadcast
# Test cases format: (shape, input_strides, index_strides, src_strides, dim, reduce)
_TEST_CASES_DATA = [
......
......@@ -5,8 +5,7 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import torch
import infinicore
from framework.base import BaseOperatorTest, TensorSpec, TestCase
from framework.runner import GenericTestRunner
from framework import BaseOperatorTest, TensorSpec, TestCase, GenericTestRunner
# Test cases format: (input_shape, input_strides_or_None, dim, index)
_TEST_CASES_DATA = [
......
......@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import torch
import infinicore
from framework.base import BaseOperatorTest, TensorSpec, TestCase
from framework.runner import GenericTestRunner
from framework.utils import is_broadcast
from framework import (
BaseOperatorTest,
TensorSpec,
TestCase,
GenericTestRunner,
is_broadcast,
)
from framework.tensor import TensorInitializer
# Test cases format: (shape, input_strides, index_strides, src_strides, dim)
......
......@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import torch
import infinicore
from framework.base import BaseOperatorTest, TensorSpec, TestCase
from framework.runner import GenericTestRunner
from framework.utils import is_broadcast
from framework import (
BaseOperatorTest,
TensorSpec,
TestCase,
GenericTestRunner,
is_broadcast,
)
# Test cases format: (in_shape, in_strides_or_None)
......
......@@ -5,8 +5,7 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import torch
import infinicore
from framework.base import BaseOperatorTest, TensorSpec, TestCase
from framework.runner import GenericTestRunner
from framework import BaseOperatorTest, TensorSpec, TestCase, GenericTestRunner
# Test cases format: (in_shape, in_strides_or_None)
# sgn is an alias for sign on many platforms; we provide similar coverage.
......
......@@ -5,8 +5,7 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import torch
import infinicore
from framework.base import BaseOperatorTest, TensorSpec, TestCase
from framework.runner import GenericTestRunner
from framework import BaseOperatorTest, TensorSpec, TestCase, GenericTestRunner
# Test cases format: (in_shape, in_strides_or_None)
......
......@@ -5,8 +5,7 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import torch
import infinicore
from framework.base import BaseOperatorTest, TensorSpec, TestCase
from framework.runner import GenericTestRunner
from framework import BaseOperatorTest, TensorSpec, TestCase, GenericTestRunner
# Test cases format: (in_shape, in_strides_or_None)
# signbit returns boolean-like tensor; tolerances are exact.
......
......@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import torch
import infinicore
from framework.base import BaseOperatorTest, TensorSpec, TestCase
from framework.runner import GenericTestRunner
from framework.utils import is_broadcast
from framework import (
BaseOperatorTest,
TensorSpec,
TestCase,
GenericTestRunner,
is_broadcast,
)
# ==============================================================================
# Operator-specific configuration
......@@ -131,7 +135,7 @@ class OpTest(BaseOperatorTest):
def infinicore_operator(self, input, out=None, **kwargs):
"""InfiniCore SiLU implementation"""
import infinicore.nn.functional as F
return F.silu(input, out=out)
......
......@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import torch
import infinicore
from framework.base import BaseOperatorTest, TensorSpec, TestCase
from framework.runner import GenericTestRunner
from framework.utils import is_broadcast
from framework import (
BaseOperatorTest,
TensorSpec,
TestCase,
GenericTestRunner,
is_broadcast,
)
# =======================================================================
# Test cases format: (shape, input_strides_or_None)
......
......@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import torch
import infinicore
from framework.base import BaseOperatorTest, TensorSpec, TestCase
from framework.runner import GenericTestRunner
from framework.utils import is_broadcast
from framework import (
BaseOperatorTest,
TensorSpec,
TestCase,
GenericTestRunner,
is_broadcast,
)
# # Test cases format: (shape, input_strides, src_strides, dim, start, end, step)
# _TEST_CASES_DATA = [
......
......@@ -5,8 +5,7 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import torch
import infinicore
from framework.base import BaseOperatorTest, TensorSpec, TestCase
from framework.runner import GenericTestRunner
from framework import BaseOperatorTest, TensorSpec, TestCase, GenericTestRunner
# Test cases format: (matrix_shape, strides_or_None)
# slogdet(input) — returns (sign, logabsdet)
......
......@@ -5,8 +5,7 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import torch
import infinicore
from framework.base import BaseOperatorTest, TensorSpec, TestCase
from framework.runner import GenericTestRunner
from framework import BaseOperatorTest, TensorSpec, TestCase, GenericTestRunner
# Test cases format: (input_shape, target_shape, input_strides_or_None, beta_or_None, reduction_or_None)
# infinicore.nn.functional.smooth_l1_loss(input, target, reduction='mean', beta=1.0)
......
......@@ -5,8 +5,7 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import torch
import infinicore
from framework.base import BaseOperatorTest, TensorSpec, TestCase
from framework.runner import GenericTestRunner
from framework import BaseOperatorTest, TensorSpec, TestCase, GenericTestRunner
# Test cases format: (input_shape, target_shape, input_strides_or_None, reduction_or_None)
# infinicore.nn.functional.soft_margin_loss(input, target, reduction='mean')
......
......@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import torch
import infinicore
from framework.base import BaseOperatorTest, TensorSpec, TestCase
from framework.runner import GenericTestRunner
from framework.utils import is_broadcast
from framework import (
BaseOperatorTest,
TensorSpec,
TestCase,
GenericTestRunner,
is_broadcast,
)
# Test cases format: (in_shape, in_strides_or_None, dim_or_None)
......
......@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import torch
import infinicore
from framework.base import BaseOperatorTest, TensorSpec, TestCase
from framework.runner import GenericTestRunner
from framework.utils import is_broadcast
from framework import (
BaseOperatorTest,
TensorSpec,
TestCase,
GenericTestRunner,
is_broadcast,
)
# Test cases format: (in_shape, in_strides_or_None, beta_or_None, threshold_or_None)
......
......@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import torch
import infinicore
from framework.base import BaseOperatorTest, TensorSpec, TestCase
from framework.runner import GenericTestRunner
from framework.utils import is_broadcast
from framework import (
BaseOperatorTest,
TensorSpec,
TestCase,
GenericTestRunner,
is_broadcast,
)
# Test cases format: (in_shape, in_strides_or_None, lambd_or_None)
......
......@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import torch
import infinicore
from framework.base import BaseOperatorTest, TensorSpec, TestCase
from framework.runner import GenericTestRunner
from framework.utils import is_broadcast
from framework import (
BaseOperatorTest,
TensorSpec,
TestCase,
GenericTestRunner,
is_broadcast,
)
# Test cases format: (in_shape, in_strides_or_None)
......
......@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import torch
import infinicore
from framework.base import BaseOperatorTest, TensorSpec, TestCase, TestResult
from framework.runner import GenericTestRunner
from framework.utils import is_broadcast
from framework import (
BaseOperatorTest,
TensorSpec,
TestCase,
GenericTestRunner,
is_broadcast,
)
from framework.devices import InfiniDeviceEnum
# ==============================================================================
......
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