diff options
author | 2016-05-13 08:22:21 -0800 | |
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committer | 2016-05-13 09:32:13 -0700 | |
commit | d52e296bc4adc79663020710aa2b5ae3f61d686e (patch) | |
tree | 145130aedfdd4d92750caa99e626b1322f442678 /tensorflow/python/kernel_tests/sparse_matmul_op_test.py | |
parent | 228709e2e5bfee4b15b72d23479848fe1ee04152 (diff) |
Reduce number of sparse matmul tests
Change: 122265359
Diffstat (limited to 'tensorflow/python/kernel_tests/sparse_matmul_op_test.py')
-rw-r--r-- | tensorflow/python/kernel_tests/sparse_matmul_op_test.py | 23 |
1 files changed, 11 insertions, 12 deletions
diff --git a/tensorflow/python/kernel_tests/sparse_matmul_op_test.py b/tensorflow/python/kernel_tests/sparse_matmul_op_test.py index 6142bdab9c..dc9ebc6ecd 100644 --- a/tensorflow/python/kernel_tests/sparse_matmul_op_test.py +++ b/tensorflow/python/kernel_tests/sparse_matmul_op_test.py @@ -80,18 +80,17 @@ class SparseMatMulTest(tf.test.TestCase): # Tests random sized matrices. def testRandom(self): - for _ in range(10): - for tr_a in [True, False]: - for tr_b in [True, False]: - for sp_a in [True, False]: - for sp_b in [True, False]: - for x_dtype in (tf.float32, tf.bfloat16): - for y_dtype in (tf.float32, tf.bfloat16): - n, k, m = np.random.randint(1, 100, size=3) - x = RandMatrix(n, k, tr_a) - y = RandMatrix(k, m, tr_b) - self._testCpuMatmul(x, y, tr_a, tr_b, sp_a, sp_b, - x_dtype=x_dtype, y_dtype=y_dtype) + for tr_a in [True, False]: + for tr_b in [True, False]: + for sp_a in [True, False]: + for sp_b in [True, False]: + for x_dtype in (tf.float32, tf.bfloat16): + for y_dtype in (tf.float32, tf.bfloat16): + n, k, m = np.random.randint(1, 100, size=3) + x = RandMatrix(n, k, tr_a) + y = RandMatrix(k, m, tr_b) + self._testCpuMatmul(x, y, tr_a, tr_b, sp_a, sp_b, + x_dtype=x_dtype, y_dtype=y_dtype) class MatMulGradientTest(tf.test.TestCase): |