| /external/tensorflow/tensorflow/lite/testing/model_coverage/ |
| D | model_coverage_lib.py | 114 def _evaluate_tflite_model(tflite_model, input_data): argument
130 for input_tensor, tensor_data in zip(input_details, input_data):
165 return lambda input_data: sess.run(outputs, dict(zip(inputs, input_data)))
191 return lambda input_data: sess.run(outputs, dict(zip(inputs, input_data)))
204 return lambda input_data: [keras_model.predict(input_data)]
207 def compare_models(tflite_model, tf_eval_func, input_data=None, tolerance=5): argument
219 if input_data is None:
220 input_data = _generate_random_input_data(tflite_model)
221 tf_results = tf_eval_func(input_data)
222 tflite_results = _evaluate_tflite_model(tflite_model, input_data)
[all …]
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| /external/tensorflow/tensorflow/contrib/tensor_forest/python/kernel_tests/ |
| D | scatter_add_ndim_op_test.py | 30 input_data = variables.VariableV1(
37 tensor_forest_ops.scatter_add_ndim(input_data, indices, updates).run()
40 input_data.eval())
43 input_data = variables.VariableV1([[[1., 2., 3.], [4., 5., 6.]],
50 tensor_forest_ops.scatter_add_ndim(input_data, indices, updates).run()
52 [[7., 8., 9.], [10., 11., 212.]]], input_data.eval())
56 input_data = variables.VariableV1(init_val)
62 tensor_forest_ops.scatter_add_ndim(input_data, indices, updates).run()
63 self.assertAllEqual(init_val, input_data.eval())
67 input_data = variables.VariableV1(init_val)
[all …]
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| /external/protobuf/src/google/protobuf/util/ |
| D | json_util_test.cc | 242 string input_data = "0123456789"; in TEST() local
243 for (int input_pattern = 0; input_pattern < (1 << (input_data.size() - 1)); in TEST()
250 for (int j = 0; j < input_data.length() - 1; ++j) { in TEST()
252 byte_sink.Append(&input_data[start], j - start + 1); in TEST()
256 byte_sink.Append(&input_data[start], input_data.length() - start); in TEST()
258 EXPECT_EQ(input_data, string(buffer, input_data.length())); in TEST()
262 input_data = "012345678"; in TEST()
263 for (int input_pattern = 0; input_pattern < (1 << (input_data.size() - 1)); in TEST()
270 for (int j = 0; j < input_data.length() - 1; ++j) { in TEST()
272 byte_sink.Append(&input_data[start], j - start + 1); in TEST()
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| /external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
| D | legacy_reference_ops.h | 39 inline void DepthwiseConv(const float* input_data, const Dims<4>& input_dims, in DepthwiseConv() argument
61 DepthwiseConv(op_params, DimsToShape(input_dims), input_data, in DepthwiseConv()
66 inline void DepthwiseConv(const float* input_data, const Dims<4>& input_dims, in DepthwiseConv() argument
74 DepthwiseConv(input_data, input_dims, filter_data, filter_dims, bias_data, in DepthwiseConv()
82 void DepthwiseConv(const float* input_data, const Dims<4>& input_dims, in DepthwiseConv() argument
90 DepthwiseConv(input_data, input_dims, filter_data, filter_dims, bias_data, in DepthwiseConv()
98 void DepthwiseConv(const float* input_data, const Dims<4>& input_dims, in DepthwiseConv() argument
103 DepthwiseConv<Ac>(input_data, input_dims, filter_data, filter_dims, bias_data, in DepthwiseConv()
108 inline void DepthwiseConv(const uint8* input_data, const Dims<4>& input_dims, in DepthwiseConv() argument
138 DepthwiseConv(op_params, DimsToShape(input_dims), input_data, in DepthwiseConv()
[all …]
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| /external/tensorflow/tensorflow/lite/kernels/internal/ |
| D | resize_nearest_neighbor_test.cc | 30 const RuntimeShape& input_shape, const std::vector<T>& input_data, in TestReferenceResizeNearestNeighbor() argument
39 op_params, input_shape, input_data.data(), output_size_shape, in TestReferenceResizeNearestNeighbor()
49 std::vector<float> input_data = {1, 2, 3, 4}; in TEST() local
54 TestReferenceResizeNearestNeighbor(input_shape, input_data, output_size_data, in TEST()
60 std::vector<uint8> input_data = {1, 2, 3, 4}; in TEST() local
65 TestReferenceResizeNearestNeighbor(input_shape, input_data, output_size_data, in TEST()
71 std::vector<float> input_data = {1, 2, 3, 4, 5, 6, 7, 8, 9}; in TEST() local
76 TestReferenceResizeNearestNeighbor(input_shape, input_data, output_size_data, in TEST()
82 std::vector<uint8> input_data = {1, 2, 3, 4}; in TEST() local
87 TestReferenceResizeNearestNeighbor(input_shape, input_data, output_size_data, in TEST()
[all …]
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| D | logsoftmax_quantized_test.cc | 37 void RunLogSoftmaxFloatReference(const uint8* input_data, in RunLogSoftmaxFloatReference() argument
51 reference_ops::Dequantize(dq_params, shape_common, input_data, shape_common, in RunLogSoftmaxFloatReference()
70 void RunLogSoftmaxFloatReference(const int8* input_data, in RunLogSoftmaxFloatReference() argument
84 reference_integer_ops::Dequantize(dq_params, shape_common, input_data, in RunLogSoftmaxFloatReference()
146 void RunOneLogSoftmaxTest(const uint8* input_data, in RunOneLogSoftmaxTest() argument
154 RunLogSoftmaxFloatReference(input_data, shape_common, input_offset, in RunOneLogSoftmaxTest()
179 optimized_ops::LogSoftmax(params, shape_common, input_data, shape_common, in RunOneLogSoftmaxTest()
181 reference_ops::LogSoftmax(params, shape_common, input_data, shape_common, in RunOneLogSoftmaxTest()
198 void RunOneLogSoftmaxTest(const int8* input_data, in RunOneLogSoftmaxTest() argument
205 RunLogSoftmaxFloatReference(input_data, shape_common, input_offset, in RunOneLogSoftmaxTest()
[all …]
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| D | softmax_quantized_test.cc | 35 void RunSoftmaxFloatReference(const uint8* input_data, in RunSoftmaxFloatReference() argument
49 reference_ops::Dequantize(dq_params, shape_common, input_data, shape_common, in RunSoftmaxFloatReference()
101 void RunOneSoftmaxTest(const uint8* input_data, in RunOneSoftmaxTest() argument
109 RunSoftmaxFloatReference(input_data, shape_common, input_offset, input_scale, in RunOneSoftmaxTest()
127 optimized_ops::Softmax(params, shape_common, input_data, shape_common, in RunOneSoftmaxTest()
129 reference_ops::Softmax(params, shape_common, input_data, shape_common, in RunOneSoftmaxTest()
166 std::vector<uint8> input_data(buffer_size); in TryOneUniformSoftmax() local
167 FillRandom(&input_data); in TryOneUniformSoftmax()
168 RunOneSoftmaxTest(input_data.data(), shape_common, input_offset, input_scale, in TryOneUniformSoftmax()
204 std::vector<uint8> input_data(buffer_size); in TryOneSkyscraperSoftmax() local
[all …]
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| /external/tensorflow/tensorflow/lite/python/ |
| D | lite_v2_test.py | 40 def _evaluateTFLiteModel(self, tflite_model, input_data): argument
48 for input_tensor, tensor_data in zip(input_details, input_data):
66 input_data = constant_op.constant(1., shape=[1])
71 concrete_func = root.f.get_concrete_function(input_data)
78 expected_value = root.f(input_data)
79 actual_value = self._evaluateTFLiteModel(tflite_model, [input_data])
85 input_data = constant_op.constant(1., shape=None)
89 concrete_func = root.f.get_concrete_function(input_data)
96 expected_value = root.f(input_data)
97 actual_value = self._evaluateTFLiteModel(tflite_model, [input_data])
[all …]
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| /external/tensorflow/tensorflow/lite/kernels/internal/optimized/ |
| D | legacy_optimized_ops.h | 138 inline void DepthwiseConv(const float* input_data, const Dims<4>& input_dims, in DepthwiseConv() argument
160 DepthwiseConv(op_params, DimsToShape(input_dims), input_data, in DepthwiseConv()
165 inline void DepthwiseConv(const float* input_data, const Dims<4>& input_dims, in DepthwiseConv() argument
173 DepthwiseConv(input_data, input_dims, filter_data, filter_dims, bias_data, in DepthwiseConv()
181 void DepthwiseConv(const float* input_data, const Dims<4>& input_dims, in DepthwiseConv() argument
189 DepthwiseConv(input_data, input_dims, filter_data, filter_dims, bias_data, in DepthwiseConv()
197 void DepthwiseConv(const float* input_data, const Dims<4>& input_dims, in DepthwiseConv() argument
202 DepthwiseConv<Ac>(input_data, input_dims, filter_data, filter_dims, bias_data, in DepthwiseConv()
207 inline void DepthwiseConv(const uint8* input_data, const Dims<4>& input_dims, in DepthwiseConv() argument
237 DepthwiseConv(op_params, DimsToShape(input_dims), input_data, in DepthwiseConv()
[all …]
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| /external/tensorflow/tensorflow/python/framework/ |
| D | convert_to_constants_test.py | 58 def _evaluateGraphDef(self, graph_def, func, input_data): argument
68 output_tensors, feed_dict=dict(zip(input_tensors, input_data)))
73 input_data = constant_op.constant(1., shape=[1])
76 to_save = root.f.get_concrete_function(input_data)
94 expected_value = root.f(input_data)
96 [input_data.numpy()])
102 input_data = constant_op.constant(1., shape=[1])
107 input_func = root.f.get_concrete_function(input_data)
119 expected_value = root.f(input_data)
121 [input_data.numpy()])
[all …]
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| /external/tensorflow/tensorflow/compiler/xla/tests/ |
| D | convolution_variants_test.cc | 383 std::vector<float> input_data(64); in XLA_TEST_F() local
384 std::iota(input_data.begin(), input_data.end(), 0.0); in XLA_TEST_F()
385 Array4D<float> input_array(1, 1, 8, 8, input_data); in XLA_TEST_F()
403 std::vector<float> input_data(16 * 1 * 1 * 1); in XLA_TEST_F() local
404 std::iota(input_data.begin(), input_data.end(), 1.0); in XLA_TEST_F()
405 Array4D<float> input_array(16, 1, 1, 1, input_data); in XLA_TEST_F()
515 std::vector<float> input_data(2 * 8 * 8); in XLA_TEST_F() local
516 std::iota(input_data.begin(), input_data.end(), 0.0); in XLA_TEST_F()
517 Array4D<float> input_array(1, 2, 8, 8, input_data); in XLA_TEST_F()
541 std::vector<float> input_data(2 * 2 * 8 * 8); in XLA_TEST_F() local
[all …]
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| D | reduce_test.cc | 100 std::vector<float> input_data(element_count); in RunR1ToR0Test() local
102 input_data[i] = rand_r(&seed_) % 3; in RunR1ToR0Test()
104 input_data[i] *= -1; in RunR1ToR0Test()
107 Literal input_literal = LiteralUtil::CreateR1(AsSlice(input_data)); in RunR1ToR0Test()
112 for (float item : input_data) { in RunR1ToR0Test()
119 void RunR1ToR0PredTest(bool and_reduce, absl::Span<const int> input_data) { in RunR1ToR0PredTest() argument
120 const int element_count = input_data.size(); in RunR1ToR0PredTest()
138 Literal input_literal = LiteralUtil::CreateR1(input_data); in RunR1ToR0PredTest()
143 for (bool item : input_data) { in RunR1ToR0PredTest()
177 Array2D<uint8> input_data(rows, cols); in RunR2ToR1PredTest() local
[all …]
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| /external/tensorflow/tensorflow/examples/speech_commands/ |
| D | input_data_test.py | 27 from tensorflow.examples.speech_commands import input_data
80 audio_processor = input_data.AudioProcessor(
90 len(input_data.prepare_words_list(words_list)), len(words_list))
94 input_data.which_set("foo.wav", 10, 10),
95 input_data.which_set("foo.wav", 10, 10))
97 input_data.which_set("foo_nohash_0.wav", 10, 10),
98 input_data.which_set("foo_nohash_1.wav", 10, 10))
104 audio_processor = input_data.AudioProcessor("", tmp_dir, 10, 10,
111 self.assertEquals(input_data.UNKNOWN_WORD_INDEX,
118 _ = input_data.AudioProcessor("", tmp_dir, 10, 10, ["a", "b"], 10, 10,
[all …]
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| /external/tensorflow/tensorflow/contrib/tensor_forest/kernels/ |
| D | reinterpret_string_to_float_op.cc | 38 void Evaluate(const Tensor& input_data, Tensor output_data, int32 start, in Evaluate() argument
41 const auto in_data = input_data.unaligned_flat<string>(); in Evaluate()
54 const Tensor& input_data = context->input(0); in Compute() local
57 if (!CheckTensorBounds(context, input_data)) return; in Compute()
61 context, context->allocate_output(0, input_data.shape(), &output_data)); in Compute()
64 const int32 num_data = static_cast<int32>(input_data.NumElements()); in Compute()
68 Evaluate(input_data, *output_data, 0, num_data); in Compute()
70 auto work = [&input_data, output_data, num_data](int64 start, int64 end) { in Compute()
73 Evaluate(input_data, *output_data, static_cast<int32>(start), in Compute()
|
| /external/adhd/cras/src/server/ |
| D | input_data.c | 21 struct input_data *data = (struct input_data *)ext; in input_data_run()
47 struct input_data *data = (struct input_data *)ext; in input_data_configure()
54 struct input_data *input_data_create(void *dev_ptr) in input_data_create()
56 struct input_data *data = (struct input_data *)calloc(1, sizeof(*data)); in input_data_create()
66 void input_data_destroy(struct input_data **data) in input_data_destroy()
74 void input_data_set_all_streams_read(struct input_data *data, in input_data_set_all_streams_read()
90 int input_data_get_for_stream(struct input_data *data, in input_data_get_for_stream()
125 int input_data_put_for_stream(struct input_data *data, in input_data_put_for_stream()
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| D | input_data.h | 22 struct input_data { struct
34 struct input_data *input_data_create(void *dev_ptr);
37 void input_data_destroy(struct input_data **data);
40 void input_data_set_all_streams_read(struct input_data *data,
59 struct input_data *data,
74 int input_data_put_for_stream(struct input_data *data,
|
| /external/libjpeg-turbo/ |
| D | jcsample.c | 62 JSAMPARRAY input_data,
148 JSAMPARRAY input_data, JSAMPARRAY output_data) in int_downsample() argument
165 expand_right_edge(input_data, cinfo->max_v_samp_factor, cinfo->image_width, in int_downsample()
175 inptr = input_data[inrow + v] + outcol_h; in int_downsample()
195 JSAMPARRAY input_data, JSAMPARRAY output_data) in fullsize_downsample() argument
198 jcopy_sample_rows(input_data, 0, output_data, 0, cinfo->max_v_samp_factor, in fullsize_downsample()
220 JSAMPARRAY input_data, JSAMPARRAY output_data) in h2v1_downsample() argument
232 expand_right_edge(input_data, cinfo->max_v_samp_factor, cinfo->image_width, in h2v1_downsample()
237 inptr = input_data[outrow]; in h2v1_downsample()
257 JSAMPARRAY input_data, JSAMPARRAY output_data) in h2v2_downsample() argument
[all …]
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| D | jdsample.c | 126 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr) in fullsize_upsample() argument
128 *output_data_ptr = input_data; in fullsize_upsample()
139 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr) in noop_upsample() argument
158 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr) in int_upsample() argument
175 inptr = input_data[inrow]; in int_upsample()
202 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr) in h2v1_upsample() argument
211 inptr = input_data[inrow]; in h2v1_upsample()
230 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr) in h2v2_upsample() argument
240 inptr = input_data[inrow]; in h2v2_upsample()
273 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr) in h2v1_fancy_upsample() argument
[all …]
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | colorspace_op.h | 30 typename TTypes<T, 2>::ConstTensor input_data, in operator()
37 auto R = input_data.template chip<1>(0); in operator()
38 auto G = input_data.template chip<1>(1); in operator()
39 auto B = input_data.template chip<1>(2); in operator()
47 V.device(d) = input_data.maximum(channel_axis); in operator()
49 range.device(d) = V - input_data.minimum(channel_axis); in operator()
68 typename TTypes<T, 2>::ConstTensor input_data, in operator()
70 auto H = input_data.template chip<1>(0); in operator()
71 auto S = input_data.template chip<1>(1); in operator()
72 auto V = input_data.template chip<1>(2); in operator()
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| D | eigen_benchmark.h | 51 Scalar* input_data = in SpatialConvolution() local
58 device_.memset(input_data, 123, BufferSize(input_dims)); in SpatialConvolution()
61 Input input(input_data, input_dims); in SpatialConvolution()
72 device_.deallocate(input_data); in SpatialConvolution()
132 Scalar* input_data = in SpatialConvolutionBackwardKernel() local
139 device_.memset(input_data, 123, BufferSize(input_dims)); in SpatialConvolutionBackwardKernel()
142 Input input(input_data, input_dims); in SpatialConvolutionBackwardKernel()
154 device_.deallocate(input_data); in SpatialConvolutionBackwardKernel()
187 Scalar* input_data = in CuboidConvolution() local
194 device_.memset(input_data, 123, BufferSize(input_dims)); in CuboidConvolution()
[all …]
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| D | topk_op.cc | 139 const T* input_data = &input(b, 0); in Compute() local
140 const auto stable_comp = [input_data](const int32 a, const int32 b) { in Compute()
141 if (input_data[b] < input_data[a]) { in Compute()
143 } else if (input_data[b] > input_data[a]) { in Compute()
149 const auto comp = [input_data](const int32 a, const int32 b) { in Compute()
150 return input_data[b] < input_data[a]; in Compute()
171 if (input_data[*run_begin] == input_data[*run_end]) { in Compute()
173 if (input_data[*run_begin] != input_data[*run_end]) break; in Compute()
|
| /external/tensorflow/tensorflow/contrib/gan/python/estimator/python/ |
| D | stargan_estimator_impl.py | 167 input_data = features[0]
170 input_data = features # rename inputs for clarity
175 input_data, input_data_domain_label,
191 input_data, argument
197 gan_model = _make_prediction_gan_model(input_data, input_data_domain_label,
200 gan_model = _make_gan_model(generator_fn, discriminator_fn, input_data,
237 def _make_gan_model(generator_fn, discriminator_fn, input_data, argument
249 input_data,
262 def _make_prediction_gan_model(input_data, input_data_domain_label, argument
271 input_data = tfgan_train._convert_tensor_or_l_or_d(input_data)
[all …]
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| /external/tensorflow/tensorflow/contrib/tensor_forest/python/ |
| D | tensor_forest_test.py | 68 input_data = [[-1., 0.], [-1., 2.], # node 1
80 graph = graph_builder.training_graph(input_data, input_labels)
84 input_data = [[-1., 0.], [-1., 2.], # node 1
97 graph = graph_builder.training_graph(input_data, input_labels)
101 input_data = [[-1., 0.], [-1., 2.], # node 1
112 probs, paths, var = graph_builder.inference_graph(input_data)
118 input_data = [[-1., 0.], [-1., 2.], # node 1
148 probs, paths, var = graph_builder.inference_graph(input_data)
159 input_data = sparse_tensor.SparseTensor(
173 graph = graph_builder.training_graph(input_data, input_labels)
[all …]
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| /external/tensorflow/tensorflow/stream_executor/cuda/ |
| D | cuda_dnn.h | 75 const DeviceMemory<Eigen::half>& input_data,
93 const DeviceMemory<float>& input_data,
111 const DeviceMemory<double>& input_data,
129 const DeviceMemory<Eigen::half>& input_data,
154 const DeviceMemory<float>& input_data,
179 const DeviceMemory<double>& input_data,
264 const dnn::BatchDescriptor& input_descriptor, DeviceMemoryBase input_data,
335 const DeviceMemory<float>& input_data, in DoConvolveQuantized() argument
348 const DeviceMemory<float>& input_data, in DoConvolveQuantized() argument
361 const DeviceMemory<float>& input_data, in DoSeparableConvolve() argument
[all …]
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| /external/tensorflow/tensorflow/examples/tutorials/mnist/ |
| D | BUILD | 18 ":input_data",
24 name = "input_data",
25 srcs = ["input_data.py"],
56 ":input_data",
69 ":input_data",
87 ":input_data",
105 ":input_data",
126 ":input_data",
|