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[tests] remove TF tests (uses of require_tf) (#38944)

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* remove uses of require_tf

* remove redundant import guards

* this class has no tests

* nits

* del tf rng comment
This commit is contained in:
Joao Gante
2025-06-25 18:29:10 +01:00
committed by GitHub
parent d37f751797
commit 1d45d90e5d
44 changed files with 21 additions and 2504 deletions
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73
tests/utils/test_generic.py
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@@ -19,14 +19,13 @@ import numpy as np
from transformers.configuration_utils import PretrainedConfig
from transformers.modeling_outputs import BaseModelOutput
from transformers.testing_utils import require_flax, require_tf, require_torch
from transformers.testing_utils import require_flax, require_torch
from transformers.utils import (
can_return_tuple,
expand_dims,
filter_out_non_signature_kwargs,
flatten_dict,
is_flax_available,
is_tf_available,
is_torch_available,
reshape,
squeeze,
@@ -38,9 +37,6 @@ from transformers.utils import (
if is_flax_available():
import jax.numpy as jnp
if is_tf_available():
import tensorflow as tf
if is_torch_available():
import torch
@@ -88,16 +84,6 @@ class GenericTester(unittest.TestCase):
t = torch.tensor(x)
self.assertTrue(np.allclose(transpose(x, axes=(1, 2, 0)), transpose(t, axes=(1, 2, 0)).numpy()))
@require_tf
def test_transpose_tf(self):
x = np.random.randn(3, 4)
t = tf.constant(x)
self.assertTrue(np.allclose(transpose(x), transpose(t).numpy()))
x = np.random.randn(3, 4, 5)
t = tf.constant(x)
self.assertTrue(np.allclose(transpose(x, axes=(1, 2, 0)), transpose(t, axes=(1, 2, 0)).numpy()))
@require_flax
def test_transpose_flax(self):
x = np.random.randn(3, 4)
@@ -125,16 +111,6 @@ class GenericTester(unittest.TestCase):
t = torch.tensor(x)
self.assertTrue(np.allclose(reshape(x, (12, 5)), reshape(t, (12, 5)).numpy()))
@require_tf
def test_reshape_tf(self):
x = np.random.randn(3, 4)
t = tf.constant(x)
self.assertTrue(np.allclose(reshape(x, (4, 3)), reshape(t, (4, 3)).numpy()))
x = np.random.randn(3, 4, 5)
t = tf.constant(x)
self.assertTrue(np.allclose(reshape(x, (12, 5)), reshape(t, (12, 5)).numpy()))
@require_flax
def test_reshape_flax(self):
x = np.random.randn(3, 4)
@@ -162,16 +138,6 @@ class GenericTester(unittest.TestCase):
t = torch.tensor(x)
self.assertTrue(np.allclose(squeeze(x, axis=2), squeeze(t, axis=2).numpy()))
@require_tf
def test_squeeze_tf(self):
x = np.random.randn(1, 3, 4)
t = tf.constant(x)
self.assertTrue(np.allclose(squeeze(x), squeeze(t).numpy()))
x = np.random.randn(1, 4, 1, 5)
t = tf.constant(x)
self.assertTrue(np.allclose(squeeze(x, axis=2), squeeze(t, axis=2).numpy()))
@require_flax
def test_squeeze_flax(self):
x = np.random.randn(1, 3, 4)
@@ -192,12 +158,6 @@ class GenericTester(unittest.TestCase):
t = torch.tensor(x)
self.assertTrue(np.allclose(expand_dims(x, axis=1), expand_dims(t, axis=1).numpy()))
@require_tf
def test_expand_dims_tf(self):
x = np.random.randn(3, 4)
t = tf.constant(x)
self.assertTrue(np.allclose(expand_dims(x, axis=1), expand_dims(t, axis=1).numpy()))
@require_flax
def test_expand_dims_flax(self):
x = np.random.randn(3, 4)
@@ -232,18 +192,6 @@ class GenericTester(unittest.TestCase):
self.assertTrue(to_py_obj([t1, t2]) == [x1, x2])
@require_tf
def test_to_py_obj_tf(self):
x1 = [[1, 2, 3], [4, 5, 6]]
t1 = tf.constant(x1)
self.assertTrue(to_py_obj(t1) == x1)
x2 = [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]]
t2 = tf.constant(x2)
self.assertTrue(to_py_obj(t2) == x2)
self.assertTrue(to_py_obj([t1, t2]) == [x1, x2])
@require_flax
def test_to_py_obj_flax(self):
x1 = [[1, 2, 3], [4, 5, 6]]
@@ -256,25 +204,6 @@ class GenericTester(unittest.TestCase):
self.assertTrue(to_py_obj([t1, t2]) == [x1, x2])
@require_torch
@require_tf
@require_flax
def test_to_py_obj_mixed(self):
x1 = [[1], [2]]
t1 = np.array(x1)
x2 = [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]]
t2 = torch.tensor(x2)
x3 = [1, 2, 3]
t3 = tf.constant(x3)
x4 = [[[1.0, 2.0]]]
t4 = jnp.array(x4)
mixed = [(t1, t2), (t3, t4)]
self.assertTrue(to_py_obj(mixed) == [[x1, x2], [x3, x4]])
class ValidationDecoratorTester(unittest.TestCase):
def test_cases_no_warning(self):