/external/tensorflow/tensorflow/python/kernel_tests/ |
dynamic_stitch_op_test.py | 23 from tensorflow.python.framework import constant_op 40 indices = [constant_op.constant(0), constant_op.constant(1)] 41 data = [constant_op.constant(40), constant_op.constant(60)] 53 constant_op.constant(1) 55 data = [constant_op.constant(40), constant_op.constant(60)] 66 constant_op.constant([0, 4, 7]), 67 constant_op.constant([1, 6, 2, 3, 5] [all...] |
check_ops_test.py | 24 from tensorflow.python.framework import constant_op 39 tensor = constant_op.constant(1) 71 constant_op.constant([11, 22]), constant_op.constant([1, 2]) 77 generator_of_stuff = (constant_op.constant([11, 22]), constant_op.constant( 86 small = constant_op.constant([1, 2], name="small") 93 small = constant_op.constant([1, 2], name="small") 100 static_small = constant_op.constant([1, 2], name="small") 101 static_big = constant_op.constant([3, 4], name="big" [all...] |
clip_ops_test.py | 21 from tensorflow.python.framework import constant_op 32 x = constant_op.constant([-5.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3]) 42 x = constant_op.constant([-5.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3, 1]) 44 clip = constant_op.constant([1.0, 2.0]) 52 x = constant_op.constant([float('NaN'), float('Inf'), -float('Inf')]) 64 x = constant_op.constant([-3.0, 0.0, 0.0, 4.0, 0.0, 0.0], shape=[2, 3]) 71 clip_tensor = constant_op.constant(4.0) 80 x = constant_op.constant([-3.0, 0.0, 0.0, 4.0, 0.0, 0.0], shape=[2, 3, 1]) 82 clip = constant_op.constant([1.0, 2.0]) 89 x = constant_op.constant([-3.0, 0.0, 0.0, 4.0, 0.0, 0.0], shape=[2, 3] [all...] |
bucketize_op_test.py | 21 from tensorflow.python.framework import constant_op 31 constant_op.constant([-5, 0, 2, 3, 5, 8, 10, 11, 12]), 39 constant_op.constant([-5., 0., 2., 3., 5., 8., 10., 11., 12.]), 47 constant_op.constant([[-5, 0, 2, 3, 5], [8, 10, 11, 12, 0]]), 55 constant_op.constant([-5, 0]), boundaries=[0, 8, 3, 11]) 64 math_ops._bucketize(constant_op.constant([-5, 0]), boundaries=0)
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losses_test.py | 23 from tensorflow.python.framework import constant_op 44 self._predictions = constant_op.constant([4, 8, 12, 8, 1, 3], shape=(2, 3)) 45 self._labels = constant_op.constant([1, 9, 2, -5, -2, 6], shape=(2, 3)) 72 constant_op.constant(weights)) 77 weights = constant_op.constant((1.2, 0.0), shape=(2, 1)) 83 weights = constant_op.constant([1.2, 0.0], shape=[2, 1]) 89 weights = constant_op.constant([3, 6, 5, 0, 4, 2], shape=[2, 3]) 95 weights = constant_op.constant([0, 0, 0, 0, 0, 2], shape=[2, 3]) 110 logits = constant_op.constant([[10.0, 0.0, 0.0], [0.0, 10.0, 0.0], 112 labels = constant_op.constant([[1, 0, 0], [0, 1, 0], [0, 0, 1]] [all...] |
/external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/ |
filtering_postprocessor_test.py | 23 from tensorflow.python.framework import constant_op 37 constant_op.constant( 38 [[40.], [20.]], dtype=float_dtype), constant_op.constant( 39 [3., 6.], dtype=float_dtype), constant_op.constant([-1, -2]) 42 constant_op.constant( 43 [[80.], [180.]], dtype=float_dtype), constant_op.constant( 44 [1., 2.], dtype=float_dtype), constant_op.constant([-1, -2]) 47 current_times=constant_op.constant([1, 2]), 48 current_values=constant_op.constant([[0.], [1.]], dtype=float_dtype), 53 constant_op.constant([[0.1], [10.]], dtype=float_dtype) [all...] |
/external/tensorflow/tensorflow/contrib/kernel_methods/python/ |
losses_test.py | 24 from tensorflow.python.framework import constant_op 36 logits = constant_op.constant([-1.0, 2.1], shape=(2,)) 37 labels = constant_op.constant([0, 1]) 44 logits = constant_op.constant([-1.0, 2.1], shape=(2, 1)) 45 labels = constant_op.constant([1, 0], shape=(1, 1, 2)) 52 logits = constant_op.constant([-1.0, 2.1], shape=(2, 1)) 53 labels = constant_op.constant([1, 0], shape=(2,)) 54 weights = constant_op.constant([1.5, 0.2], shape=(2, 1, 1)) 61 logits = constant_op.constant([-1.0, 2.1], shape=(2, 1)) 62 labels = constant_op.constant([1, 0], dtype=dtypes.float32 [all...] |
/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
svm_test.py | 23 from tensorflow.python.framework import constant_op 35 'example_id': constant_op.constant(['1', '2', '3']), 36 'feature1': constant_op.constant([[0.0], [1.0], [3.0]]), 37 'feature2': constant_op.constant([[1.0], [-1.2], [1.0]]), 38 }, constant_op.constant([[1], [0], [1]]) 61 'example_id': constant_op.constant(['1', '2', '3']), 62 'feature1': constant_op.constant([0.5, 1.0, 1.0]), 63 'feature2': constant_op.constant([1.0, -1.0, 0.5]), 64 }, constant_op.constant([1, 0, 1]) 93 constant_op.constant(['1', '2', '3']) [all...] |
test_data.py | 23 from tensorflow.python.framework import constant_op 44 'feature': constant_op.constant( 46 }, constant_op.constant( 53 'feature': constant_op.constant( 55 }, constant_op.constant(
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linear_test.py | 41 from tensorflow.python.framework import constant_op 85 constant_op.constant([1]), 89 }, constant_op.constant([[1]]) 114 }, constant_op.constant([[1]]) 148 'feature': constant_op.constant( 150 }, constant_op.constant( 190 labels = constant_op.constant( 225 'feature': constant_op.constant( 227 }, constant_op.constant( 245 constant_op.constant([[.8], [0.2], [.1]]) [all...] |
/external/tensorflow/tensorflow/contrib/linear_optimizer/python/ |
sdca_estimator_test.py | 26 from tensorflow.python.framework import constant_op 38 'example_id': constant_op.constant(['1', '2']), 39 'maintenance_cost': constant_op.constant([500.0, 200.0]), 40 'sq_footage': constant_op.constant([[800.0], [600.0]]), 41 'weights': constant_op.constant([[1.0], [1.0]]) 42 }, constant_op.constant([[0], [1]]) 64 constant_op.constant(['1', '2']), 66 constant_op.constant([[500.0, 800.0], [200.0, 600.0]]) 67 }, constant_op.constant([[0], [1]]) 83 'example_id': constant_op.constant(['1', '2', '3']) [all...] |
/external/tensorflow/tensorflow/contrib/tensor_forest/client/ |
eval_metrics_test.py | 21 from tensorflow.python.framework import constant_op 31 probabilities = constant_op.constant([[0.1, 0.2, 0.3], [0.4, 0.7, 0.5], 33 targets = constant_op.constant([[0], [2], [1], [1]]) 45 probabilities = constant_op.constant([[0.1, 0.2, 0.6, 0.3, 0.5, 0.5], 50 targets = constant_op.constant([3, 0, 2, 5, 1]) 61 predictions = constant_op.constant([0, 1, 3, 6, 5, 2, 7, 6, 4, 9]) 62 targets = constant_op.constant([0, 1, 4, 6, 5, 1, 7, 5, 4, 8]) 72 scores = constant_op.constant( 74 targets = constant_op.constant(
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/external/tensorflow/tensorflow/python/debug/lib/ |
common_test.py | 23 from tensorflow.python.framework import constant_op 31 a = constant_op.constant(10.0, name="a") 32 b = constant_op.constant(20.0, name="b") 39 a = constant_op.constant(10.0, name="a") 40 b = constant_op.constant(20.0, name="b") 47 a = constant_op.constant(10.0, name="a") 48 b = constant_op.constant(20.0, name="b") 49 c = constant_op.constant(30.0, name="c") 50 d = constant_op.constant(30.0, name="d")
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/external/tensorflow/tensorflow/contrib/losses/python/losses/ |
loss_ops_test.py | 25 from tensorflow.python.framework import constant_op 44 self._predictions = constant_op.constant([4, 8, 12, 8, 1, 3], shape=(2, 3)) 45 self._labels = constant_op.constant([1, 9, 2, -5, -2, 6], shape=(2, 3)) 73 constant_op.constant(weights)) 78 weights = constant_op.constant([1.2, 0.0], shape=[2,]) 85 weights = constant_op.constant([1.2, 0.0], shape=[2, 1]) 92 weights = constant_op.constant([3, 6, 5, 0, 4, 2], shape=[2, 3]) 99 weights = constant_op.constant([0, 0, 0, 0, 0, 2], shape=[2, 3]) 116 logits = constant_op.constant([[10.0, 0.0, 0.0], 119 labels = constant_op.constant([[1, 0, 0] [all...] |
/external/tensorflow/tensorflow/contrib/layers/python/layers/ |
target_column_test.py | 23 from tensorflow.python.framework import constant_op 35 prediction = constant_op.constant([[1.], [1.], [3.]]) 36 labels = constant_op.constant([[0.], [1.], [1.]]) 44 features = {"label_weight": constant_op.constant([[2.], [5.], [0.]])} 45 prediction = constant_op.constant([[1.], [1.], [3.]]) 46 labels = constant_op.constant([[0.], [1.], [1.]]) 62 logits = constant_op.constant([[1.], [1.]]) 63 labels = constant_op.constant([[1.], [0.]]) 75 features = {"label_weight": constant_op.constant([[1.], [0.]])} 76 logits = constant_op.constant([[1.], [1.]] [all...] |
/external/tensorflow/tensorflow/contrib/py2tf/utils/ |
context_managers_test.py | 22 from tensorflow.python.framework import constant_op 33 constant_op.constant(1)): 36 [constant_op.constant(1), 37 constant_op.constant(2)]):
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/external/tensorflow/tensorflow/contrib/estimator/python/estimator/ |
logit_fns_test.py | 24 from tensorflow.python.framework import constant_op 37 'f1': constant_op.constant([[2., 3.]]), 38 'f2': constant_op.constant([[4., 5.]]) 52 'f1': constant_op.constant([[2., 3.]]), 53 'f2': constant_op.constant([[4., 5.]]) 71 'f1': constant_op.constant([[2., 3.]]), 72 'f2': constant_op.constant([[4., 5.]]) 86 features = {'f1': constant_op.constant([[2., 3.]]), 'f2': 'some string'}
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/external/tensorflow/tensorflow/contrib/nn/python/ops/ |
sampling_ops_test.py | 22 from tensorflow.python.framework import constant_op 49 return constant_op.constant([ 64 constant_op.constant([ 68 constant_op.constant([ 72 constant_op.constant([ 76 constant_op.constant([ 80 constant_op.constant([ 88 constant_op.constant([ 92 constant_op.constant([ 96 constant_op.constant( [all...] |
/external/tensorflow/tensorflow/contrib/py2tf/impl/ |
api_test.py | 24 from tensorflow.python.framework import constant_op 57 constant_op.constant([2, 4]), constant_op.constant(1), 58 constant_op.constant(-2)) 77 constant_op.constant([2, 4]), constant_op.constant(1), 78 constant_op.constant(-2)) 98 constant_op.constant([2, 4]), constant_op.constant(1), 99 constant_op.constant(-2) [all...] |
/external/tensorflow/tensorflow/python/eager/ |
tape_test.py | 26 from tensorflow.python.framework import constant_op 72 a = constant_op.constant([[1., 0.], [0., 1.]]) 73 b = constant_op.constant([[1., 2.], [3., 4.]]) 76 tf_a = constant_op.constant([[1, 0], [0, 1]], dtype=dtypes.float32) 77 tf_b = constant_op.constant([[1, 2], [3, 4]], dtype=dtypes.float32) 92 aa = constant_op.constant([[1., 0.], [0., 1.]]) 93 bb = constant_op.constant([[1., 2.], [3., 4.]]) 106 aa = constant_op.constant([[1., 0.], [0., 1.]]) 107 bb = constant_op.constant([[1., 2.], [3., 4.]]) 120 aa = constant_op.constant([[1., 0.], [0., 1.]] [all...] |
ops_test.py | 25 from tensorflow.python.framework import constant_op 42 three = constant_op.constant(3) 43 five = constant_op.constant(5) 50 three = constant_op.constant([[3.]]).gpu() 51 five = constant_op.constant([[5.]]).gpu() 56 three = constant_op.constant(3.0) 62 three = constant_op.constant(3.0) 63 almost_three = constant_op.constant(2.8) 69 three = constant_op.constant(3) 70 four = constant_op.constant(4 [all...] |
core_test.py | 31 from tensorflow.python.framework import constant_op 91 t = constant_op.constant(1.0) 163 x = constant_op.constant(1.).gpu() 165 y = constant_op.constant(2.) 176 x = constant_op.constant([[1., 2.], [3., 4.]]) 189 constant = constant_op.constant(1.0) 199 cpu = constant_op.constant([[1., 2.], [3., 4.]]) 204 ta = constant_op.constant([[1, 2], [3, 4]]) 217 three = constant_op.constant(3) 218 five = constant_op.constant(5 [all...] |
/external/tensorflow/tensorflow/python/profiler/ |
tfprof_logger_test.py | 20 from tensorflow.python.framework import constant_op 36 a = constant_op.constant([[1, 2], [3, 4]]) 37 b = constant_op.constant([[1, 2], [3, 4]])
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/external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
normal_conjugate_posteriors_test.py | 25 from tensorflow.python.framework import constant_op 38 mu0 = constant_op.constant([3.0]) 39 sigma0 = constant_op.constant([math.sqrt(10.0)]) 40 sigma = constant_op.constant([math.sqrt(2.0)]) 41 x = constant_op.constant([-2.5, 2.5, 4.0, 0.0, -1.0, 2.0]) 56 mu0 = constant_op.constant([[3.0, -3.0]] * batch_size) 57 sigma0 = constant_op.constant([[math.sqrt(10.0), math.sqrt(15.0)]] * 59 sigma = constant_op.constant([[math.sqrt(2.0)]] * batch_size) 61 constant_op.constant( 77 mu0 = constant_op.constant([[3.0, -3.0]] * batch_size [all...] |
/external/tensorflow/tensorflow/python/data/util/ |
convert.py | 20 from tensorflow.python.framework import constant_op 33 return constant_op.constant(
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