| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | weights_broadcast_test.py | 62 weights=np.asarray((5,)).reshape((1, 1, 1)),
68 weights=np.asarray((5, 7, 11, 3)).reshape((1, 1, 4)),
74 weights=np.asarray((5, 11)).reshape((1, 2, 1)),
80 weights=np.asarray((5, 7, 11, 3, 2, 13, 7, 5)).reshape((1, 2, 4)),
86 weights=np.asarray((5, 7, 11)).reshape((3, 1, 1)),
92 weights=np.asarray((
99 weights=np.asarray((
121 self._test_invalid(weights=np.asarray((5,)), values=_test_values((3, 2, 4)))
126 weights=np.asarray((5,)).reshape((1, 1)),
132 weights=np.asarray((5, 7, 11, 3, 2, 12)).reshape((3, 2)),
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| D | one_hot_op_test.py | 59 indices = np.asarray([0, 2, -1, 1], dtype=np.int64)
61 on_value = np.asarray(1.0, dtype=dtype)
62 off_value = np.asarray(-1.0, dtype=dtype)
64 truth = np.asarray(
89 indices = np.asarray([0, 2, -1, 1], dtype=np.int64)
92 truth = np.asarray(
132 indices = np.asarray([[0, 2, -1, 1], [1, 0, 1, -1]], dtype=np.int64)
134 on_value = np.asarray(1.0, dtype=dtype)
135 off_value = np.asarray(-1.0, dtype=dtype)
137 truth = np.asarray(
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| D | confusion_matrix_test.py | 63 truth = np.asarray(
124 labels = np.asarray([4, 5, 6], dtype=dtype)
125 predictions = np.asarray([1, 2, 3], dtype=dtype)
127 truth = np.asarray(
148 labels = np.asarray([1, 1, 2, 3, 5, 1, 3, 6, 3, 1], dtype=dtype)
149 predictions = np.asarray([1, 1, 2, 3, 5, 6, 1, 2, 3, 4], dtype=dtype)
151 truth = np.asarray(
177 truth = np.asarray(
190 labels = np.asarray([1, 1, 0, 3, 5], dtype=np.int32)
191 predictions = np.asarray([2, 1, 0, 2, 2], dtype=np.int32)
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| D | relu_op_test.py | 116 x = np.asarray(
128 x = np.asarray(
138 x = np.asarray(
156 x = np.asarray(
174 x = np.asarray(
202 x = np.asarray([[], []], dtype=np.float32)
252 x = np.asarray(
262 x = np.asarray(
317 x = np.asarray(
327 x = np.asarray(
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| D | softplus_op_test.py | 35 np_features = np.asarray(np_features)
36 zero = np.asarray(0).astype(np_features.dtype)
82 x_init = np.asarray(
100 x_init = np.asarray(
119 x_init = np.asarray(
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| D | reverse_sequence_op_test.py | 66 x = np.asarray(
74 seq_lengths = np.asarray([3, 0, 4], dtype=len_dtype)
76 truth_orig = np.asarray(
112 x = np.asarray(
122 seq_lengths = np.asarray([3, 0, 4], dtype=np.int64)
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| D | where_op_test.py | 59 x = np.asarray([True, False])
60 truth = np.asarray([[0]], dtype=np.int64)
63 x = np.asarray([False, True, False])
64 truth = np.asarray([[1]], dtype=np.int64)
67 x = np.asarray([False, False, True, False, True])
68 truth = np.asarray([[2], [4]], dtype=np.int64)
77 x = np.asarray([[True, False], [True, False]])
80 truth = np.asarray([[0, 0], [1, 0]], dtype=np.int64)
85 x = np.asarray([[[True, False], [True, False]],
90 truth = np.asarray(
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| D | draw_bounding_box_op_test.py | 66 color_table = np.asarray([[1, 1, 0, 1], [0, 0, 1, 1], [1, 0, 0, 1],
84 bboxes = np.asarray([0, 0, 1, 1])
114 colors = np.asarray([[1, 1, 0, 1], [0, 0, 1, 1], [0.5, 0, 0.5, 1],
121 colors = np.asarray([[0.5, 0, 0.5, 1], [0.5, 0.5, 0, 1], [0.5, 0, 0, 1],
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| D | attention_ops_test.py | 225 np.asarray([[0, 0, 0], [0, 0, 0], [0, 0, 0]]),
242 np.asarray([[0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 2, 3, 4, 0],
269 np.asarray([[0, 0, 0], [0, 0, 0], [0, 0, 0]]),
283 np.asarray([[12, 13, 14, 0, 0, 0, 0], [17, 18, 19, 0, 0, 0, 0],
298 np.asarray([[0, 1, 2], [5, 6, 7], [10, 11, 12]]),
301 np.asarray([[5, 6, 7], [10, 11, 12], [15, 16, 17]]),
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| D | ctc_decoder_ops_test.py | 105 input_prob_matrix_0 = np.asarray(
118 input_prob_matrix_1 = np.asarray(
182 input_prob_matrix_0 = np.asarray(
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| /external/tensorflow/tensorflow/python/ops/numpy_ops/ |
| D | np_interop_test.py | 89 x = np.asarray(3.0)
90 y = np.asarray(2.0)
105 y = np.asarray(2.0)
108 x = np.asarray(3.0)
117 x = np.asarray(3.0)
137 x = np.asarray(0)
146 arr = np.asarray(0.)
165 arr = np.asarray(10.)
173 arr = np.asarray([10.])
183 arr = np.asarray([10])
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| D | np_array_ops.py | 135 shape = asarray(np_arrays.convert_to_tensor(shape, dtype_hint=np.int32))
137 fill_value = asarray(fill_value, dtype=dtype)
153 a = asarray(a)
155 fill_value = asarray(fill_value, dtype=dtype)
221 def asarray(a, dtype=None): function
232 return asarray(a, dtype)
286 v = asarray(v)
320 a = asarray(a)
351 v = asarray(v)
377 a = asarray(a, dtype=bool)
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| D | np_random.py | 82 low = np_array_ops.asarray(low, dtype=dtype)
83 high = np_array_ops.asarray(high, dtype=dtype)
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| /external/tensorflow/tensorflow/python/keras/layers/preprocessing/ |
| D | image_preprocessing_test.py | 101 expected_output = np.asarray([
117 expected_output = np.asarray([
539 expected_output = np.asarray([
559 expected_output = np.asarray([
579 expected_output = np.asarray([
599 expected_output = np.asarray([
622 expected_output = np.asarray([
642 expected_output = np.asarray([
662 expected_output = np.asarray([
715 expected_output = np.asarray(
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| D | category_crossing_test.py | 52 self.assertAllClose(np.asarray([[0, 0], [1, 0], [1, 1]]), output.indices)
64 self.assertAllClose(np.asarray([[0, 0], [1, 0], [1, 1]]), output.indices)
76 self.assertAllClose(np.asarray([[0, 0], [1, 0], [1, 1]]), output.indices)
177 inputs_0 = np.asarray([[1, 2]])
178 inputs_1 = np.asarray([[1, 3]])
194 inputs_0 = np.asarray([1, 2])
195 inputs_1 = np.asarray([1, 3])
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| D | hashing_test.py | 42 inp = np.asarray([['A'], ['B'], ['C'], ['D'], ['E']])
48 inp = np.asarray([['omar'], ['stringer'], ['marlo'], ['wire'],
57 inp = np.asarray([['omar'], ['stringer'], ['marlo'], ['wire'],
81 inp = np.asarray([[0], [1], [2], [3], [4]])
88 inp = np.asarray([['omar'], ['stringer'], ['marlo'], ['wire'],
102 inp = np.asarray([[0], [1], [2], [3], [4]])
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| /external/tensorflow/tensorflow/python/keras/ |
| D | metrics_correctness_test.py | 51 inputs = np.asarray([[1.], [2.], [3.], [4.], [5.]])
52 targets_1 = np.asarray([[2.], [4.], [6.], [8.], [10.]])
53 targets_2 = np.asarray([[1.], [2.], [3.], [4.], [5.]])
87 self.x = np.asarray([[1.], [2.], [3.], [4.], [5.]])
88 self.y1 = np.asarray([[2.], [4.], [6.], [8.], [10.]])
89 self.y2 = np.asarray([[1.], [2.], [3.], [4.], [5.]])
90 self.sample_weight_1 = np.asarray([2., 3., 4., 5., 6.])
91 self.sample_weight_2 = np.asarray([3.5, 2.5, 1.5, 0.5, 3.])
368 x = np.asarray([[1.], [2.], [3.], [4.]])
369 y = np.asarray([[2.], [4.], [6.], [8.]])
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| D | metrics_test.py | 618 self.np_y_true = np.asarray([[1, 9, 2], [-5, -2, 6]], dtype=np.float32)
619 self.np_y_pred = np.asarray([[4, 8, 12], [8, 1, 3]], dtype=np.float32)
651 sample_weight = np.asarray([1.2, 3.4])
1113 y_pred = np.asarray([1, 9, 2, -5, -2, 6]).reshape((2, 3))
1114 y_true = np.asarray([4, 8, 12, 8, 1, 3]).reshape((2, 3))
1146 sample_weight = np.asarray([1.2, 1.2, 1.2, 3.4, 3.4, 3.4]).reshape((2, 3))
1156 y_pred = np.asarray([1, 9, 2, 5, 2, 6]).reshape((2, 3))
1157 y_true = np.asarray([4, 8, 12, 8, 1, 3]).reshape((2, 3))
1192 sample_weight = np.asarray([1.2, 1.2, 1.2, 3.4, 3.4, 3.4]).reshape((2, 3))
1202 y_pred = np.asarray([.4, .9, .12, .36, .3, .4]).reshape((2, 3))
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| D | losses_test.py | 657 self.np_y_true = np.asarray([[1, 9, 2], [-5, -2, 6]], dtype=np.float32)
658 self.np_y_pred = np.asarray([[4, 8, 12], [8, 1, 3]], dtype=np.float32)
691 sample_weight = np.asarray([1.2, 3.4])
704 sample_weight = np.asarray([3, 6, 5, 0, 4, 2]).reshape((2, 3))
757 y_true = np.asarray([1, 0, 1, 0]).reshape([2, 2])
758 y_pred = np.asarray([1, 1, 1, 0], dtype=np.float32).reshape([2, 2])
796 y_true = np.asarray([1, 0, 1, 0]).reshape([2, 2])
797 y_pred = np.asarray([1, 1, 1, 0], dtype=np.float32).reshape([2, 2])
830 y_true = np.asarray([1, 0, 1, 0]).reshape([2, 2])
831 y_pred = np.asarray([1, 1, 1, 0], dtype=np.float32).reshape([2, 2])
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| /external/tensorflow/tensorflow/compiler/tests/ |
| D | reverse_sequence_op_test.py | 62 x = np.asarray(
70 seq_lengths = np.asarray([3, 0, 4], dtype=len_dtype)
72 truth_orig = np.asarray(
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| D | categorical_op_test.py | 44 actual = np.asarray(actual)
45 expected = np.asarray(expected)
127 probs = np.asarray(probs)
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| /external/tensorflow/tensorflow/lite/tools/optimize/sparsity/python/ |
| D | format_converter_extension_test.py | 50 converter.DenseToSparse(np.asarray(dense_matrix, dtype=np.float32).data)
69 converter.SparseToDense(np.asarray(sparse_data, dtype=np.float32).data)
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| /external/tensorflow/tensorflow/python/framework/ |
| D | test_util_test.py | 408 np.asarray([1e-8], dtype=np.float64),
409 np.asarray([2e-8], dtype=np.float64),
421 np.asarray([1e-7], dtype=np.float64),
422 np.asarray([2e-7], dtype=np.float64),
428 np.asarray([1e-7], dtype=np.float32),
429 np.asarray([2e-7], dtype=np.float32),
444 np.asarray([1e-6], dtype=np.float32),
445 np.asarray([2e-6], dtype=np.float32),
452 np.asarray([1e-4], dtype=np.float16),
453 np.asarray([2e-4], dtype=np.float16),
[all …]
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| /external/tensorflow/tensorflow/python/eager/ |
| D | tensor_test.py | 122 numpy_tensor = np.asarray(tensor, dtype=np.int32)
126 numpy_tensor = np.asarray(1.0)
130 numpy_tensor = np.asarray([1.0, 2.0, 3.0])
134 numpy_tensor = np.asarray([[1.0, 2.0, 3.0], [1.0, 2.0, 3.0]])
139 numpy_tensor = np.asarray(1.0)
146 numpy_tensor = np.asarray([1.0, 2.0, 3.0])
150 numpy_tensor = np.asarray([[1.0, 2.0, 3.0], [1.0, 2.0, 3.0]])
394 np.asarray(memoryview(v._handle))
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| /external/tensorflow/tensorflow/python/data/experimental/kernel_tests/ |
| D | directed_interleave_dataset_test.py | 57 actual = np.asarray(actual)
58 expected = np.asarray(expected)
91 probs = np.asarray(probs)
|