| /external/tensorflow/tensorflow/python/ops/ragged/ |
| ragged_rank_op_test.py | 35 test_input=1, variable in class:RaggedRankOpTest
40 test_input=[1], variable in class:RaggedRankOpTest
44 test_input=[1, 2, 3, 4], variable in class:RaggedRankOpTest
49 test_input=[[1], [2], [3]], variable in class:RaggedRankOpTest
54 test_input=[[[1], [2, 3]], [[4], [5, 6, 7]]], variable in class:RaggedRankOpTest
59 test_input=[[[1], [2, 3], [10, 20]], variable in class:RaggedRankOpTest
66 test_input=[[[[1], [2]]], variable in class:RaggedRankOpTest
72 test_input=[ variable in class:RaggedRankOpTest
81 def testRaggedRank(self, test_input, expected_rank, ragged_rank=None):
82 test_input = ragged_factory_ops.constant
[all...] |
| ragged_size_op_test.py | 35 {'size': 1, 'test_input': 1},
36 {'size': 0, 'test_input': []},
37 {'size': 0, 'test_input': [], 'ragged_rank': 1},
38 {'size': 3, 'test_input': [1, 1, 1]},
39 {'size': 3, 'test_input': [[1, 1], [1]]},
40 {'size': 5, 'test_input': [[[1, 1, 1], [1]], [[1]]]},
41 {'size': 6, 'test_input': [[[1, 1], [1, 1]], [[1, 1]]], 'ragged_rank': 1},
43 def testRaggedSize(self, test_input, size, ragged_rank=None):
44 input_rt = ragged_factory_ops.constant(test_input, ragged_rank=ragged_rank)
|
| /art/tools/cpp-define-generator/ |
| make_header_test.py | 20 test_input = r'''
46 self.assertEqual(test_output.strip(), make_header.convert(test_input))
|
| /device/linaro/bootloader/edk2/AppPkg/Applications/Python/Python-2.7.2/Lib/distutils/tests/ |
| test_text_file.py | 50 def test_input(count, description, file, expected_result):
function in function:TextFileTestCase.test_class
65 test_input(1, "no processing", in_file, result1)
72 test_input(2, "strip comments", in_file, result2)
79 test_input(3, "strip blanks", in_file, result3)
85 test_input(4, "default processing", in_file, result4)
92 test_input(5, "join lines without collapsing", in_file, result5)
99 test_input(6, "join lines with collapsing", in_file, result6)
|
| /external/python/cpython2/Lib/distutils/tests/ |
| test_text_file.py | 50 def test_input(count, description, file, expected_result): function in function:TextFileTestCase.test_class
65 test_input(1, "no processing", in_file, result1)
72 test_input(2, "strip comments", in_file, result2)
79 test_input(3, "strip blanks", in_file, result3)
85 test_input(4, "default processing", in_file, result4)
92 test_input(5, "join lines without collapsing", in_file, result5)
99 test_input(6, "join lines with collapsing", in_file, result6)
|
| /external/python/cpython3/Lib/distutils/tests/ |
| test_text_file.py | 50 def test_input(count, description, file, expected_result): function in function:TextFileTestCase.test_class
65 test_input(1, "no processing", in_file, result1)
72 test_input(2, "strip comments", in_file, result2)
79 test_input(3, "strip blanks", in_file, result3)
85 test_input(4, "default processing", in_file, result4)
92 test_input(5, "join lines without collapsing", in_file, result5)
99 test_input(6, "join lines with collapsing", in_file, result6)
|
| /external/v8/tools/unittests/ |
| run_perf_test.py | 204 test_input = dict(V8_JSON)
205 test_input["test_flags"] = ["2", "test_name"]
206 self._WriteTestInput(test_input)
218 test_input = dict(V8_JSON)
219 test_input["run_count"] = 2
220 test_input["name"] = "v8"
221 test_input["units"] = "ms"
222 self._WriteTestInput(test_input)
235 test_input = dict(V8_JSON)
236 test_input["run_count"] =
[all...] |
| /external/protobuf/src/google/protobuf/compiler/ruby/ |
| ruby_generator_unittest.cc | 83 string test_input; local
86 &test_input,
90 test_input,
|
| /external/tensorflow/tensorflow/lite/kernels/internal/ |
| log_quantized_test.cc | 72 const std::vector<int32>& test_input,
85 test_input[i] > 5
93 << ", test_input[i]=" << test_input[i] << "="
94 << static_cast<double>(test_input[i]) / (1 << (31 - input_integer_bits))
120 void RunSingleTest(const std::vector<int32>& test_input,
122 const int n = test_input.size();
130 fudged_input[i] = std::max(test_input[i], 2);
147 CheckOutputData(quantized_output, float_gen_output, test_input, label.str(),
153 void RunSingleTest(const std::vector<int32>& test_input, int input_integer_bits
[all...] |
| /external/tensorflow/tensorflow/lite/python/ |
| interpreter_test.py | 52 test_input = np.array([[1.0, 2.0, 3.0, 4.0]], dtype=np.float32)
54 interpreter.set_tensor(input_details[0]['index'], test_input)
83 test_input = np.array([[1, 2, 3, 4]], dtype=np.uint8)
86 test_input.shape)
88 interpreter.set_tensor(input_details[0]['index'], test_input)
118 test_input = np.array([1, 2, 3], dtype=np.int64)
119 interpreter.set_tensor(input_details[1]['index'], test_input)
121 test_input = np.array(['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j'])
123 interpreter.set_tensor(input_details[0]['index'], test_input)
|
| lite_test.py | 285 test_input = np.array(4.0, dtype=np.float32)
287 interpreter.set_tensor(input_details[0]['index'], test_input)
[all...] |
| /external/tensorflow/tensorflow/compiler/tests/ |
| quantized_ops_test.py | 54 def pack_uint8_r2_to_uint32(self, test_input):
55 num_rows, num_columns = test_input.get_shape().as_list()
58 math_ops.cast(test_input, dtype=dtypes.uint8),
87 test_input = ops.convert_to_tensor(random_input, dtype=dtypes.float32)
88 transposed_input = array_ops.transpose(test_input, [1, 0])
|
| reduce_ops_test.py | 47 for test_input in test_inputs:
53 result = sess.run(out, {a: test_input, index: [0]})
55 result, np_reduce_fn(test_input, axis=0), rtol=rtol, atol=atol)
57 result = sess.run(out, {a: test_input, index: [1]})
59 result, np_reduce_fn(test_input, axis=1), rtol=rtol, atol=atol)
61 result = sess.run(out, {a: test_input, index: [-1]})
63 result, np_reduce_fn(test_input, axis=1), rtol=rtol, atol=atol)
67 sess.run(out, {a: test_input, index: [-33]})
71 sess.run(out, {a: test_input, index: [2]})
192 for test_input in test_inputs
[all...] |
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| conv_ops_3d_test.py | 369 padding, test_input, data_format, use_gpu):
442 if test_input:
475 test_input=True)
487 test_input=False)
499 test_input=True)
511 test_input=False)
523 test_input=True)
535 test_input=False)
547 test_input=True)
559 test_input=False
[all...] |
| conv_ops_test.py | [all...] |
| depthwise_conv_op_test.py | 357 test_input,
413 if test_input:
448 test_input=True,
457 test_input=True,
479 test_input=True,
498 test_input=False,
519 test_input=False,
|
| template_test.py | 83 test_input, test_output = ([5., 6., 7., 8.], [11, 13, 15, 17])
97 test_prediction = line_template(test_input)
124 test_input, test_output = ([5., 6., 7., 8.], [11, 13, 15, 17])
143 test_prediction = line_template(test_input)
|
| /external/catch2/projects/SelfTest/UsageTests/ |
| Generators.tests.cpp | 61 auto [test_input, expected] = GENERATE( table<std::string, size_t>({
68 REQUIRE( test_input.size() == expected );
|
| /external/tensorflow/tensorflow/python/autograph/converters/ |
| lists_test.py | 104 test_input = [1, 2, [1, 2, 3]]
108 self.assertAllEqual(result.test_fn(test_input), 3)
|
| /external/vixl/tools/test_generator/ |
| generator.py | 385 def InputDefinition(test_input):
388 for input in test_input.GenerateInputs(self.inputs)
392 """.format(name=test_input.name, input=",".join(inputs))
|
| /external/python/cpython3/Lib/test/ |
| test_winconsoleio.py | 142 def test_input(self): member in class:WindowsConsoleIOTests
|
| test_builtin.py | 1126 def test_input(self): member in class:BuiltinTest
[all...] |
| /external/tensorflow/tensorflow/contrib/seq2seq/python/kernel_tests/ |
| attention_wrapper_test.py | 512 test_input = np.random.uniform(size=(10, 20))
519 test_input, axis=axis, exclusive=exclusive).eval()
522 test_input, axis=axis, exclusive=exclusive).eval()
[all...] |
| /external/tensorflow/tensorflow/contrib/eager/python/ |
| network_test.py | 156 test_input = constant_op.constant([[2.0]])
157 net1(test_input)
163 self.assertAllEqual(self.evaluate(net1(test_input)),
164 self.evaluate(net2(test_input)))
[all...] |
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| estimator_test.py | 562 test_input = TestInput()
564 est.fit(input_fn=test_input.config_test_input_fn, steps=1)
566 self.assertEquals(test_random_seed, test_input.random_seed)
[all...] |
