| /external/tensorflow/tensorflow/contrib/tensor_forest/python/kernel_tests/ |
| D | scatter_add_ndim_op_test.py | 30 input_data = variables.Variable(
37 tensor_forest_ops.scatter_add_ndim(input_data, indices, updates).run()
40 input_data.eval())
43 input_data = variables.Variable([[[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.Variable(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.Variable(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/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 | 91 std::vector<float> input_data(element_count); in RunR1ToR0Test() local
93 input_data[i] = rand_r(&seed_) % 3; in RunR1ToR0Test()
95 input_data[i] *= -1; in RunR1ToR0Test()
99 Literal::CreateR1(AsSlice(input_data)); in RunR1ToR0Test()
104 for (float item : input_data) { in RunR1ToR0Test()
112 tensorflow::gtl::ArraySlice<int> input_data) { in RunR1ToR0PredTest() argument
113 const int element_count = input_data.size(); in RunR1ToR0PredTest()
131 std::unique_ptr<Literal> input_literal = Literal::CreateR1(input_data); in RunR1ToR0PredTest()
136 for (bool item : input_data) { in RunR1ToR0PredTest()
170 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
66 len(input_data.prepare_words_list(words_list)), len(words_list))
70 input_data.which_set("foo.wav", 10, 10),
71 input_data.which_set("foo.wav", 10, 10))
73 input_data.which_set("foo_nohash_0.wav", 10, 10),
74 input_data.which_set("foo_nohash_1.wav", 10, 10))
79 audio_processor = input_data.AudioProcessor("", tmp_dir, 10, 10, ["a", "b"],
85 self.assertEquals(input_data.UNKNOWN_WORD_INDEX,
92 _ = input_data.AudioProcessor("", tmp_dir, 10, 10, ["a", "b"], 10, 10,
100 _ = input_data.AudioProcessor("", tmp_dir, 10, 10, ["a", "b", "d"], 10,
[all …]
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| /external/tensorflow/tensorflow/python/keras/_impl/keras/ |
| D | testing_utils.py | 55 input_data=None, expected_output=None, argument
73 if input_data is None:
81 input_data = 10 * np.random.random(input_data_shape)
83 input_data -= 0.5
84 input_data = input_data.astype(input_dtype)
86 input_shape = input_data.shape
88 input_dtype = input_data.dtype
121 actual_output = model.predict(input_data)
144 output = recovered_model.predict(input_data)
149 model.train_on_batch(input_data, actual_output)
[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/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, 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, 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, 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 | 128 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr) in fullsize_upsample() argument
130 *output_data_ptr = input_data; in fullsize_upsample()
141 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr) in noop_upsample() argument
160 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr) in int_upsample() argument
177 inptr = input_data[inrow]; in int_upsample()
204 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr) in h2v1_upsample() argument
213 inptr = input_data[inrow]; in h2v1_upsample()
232 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr) in h2v2_upsample() argument
242 inptr = input_data[inrow]; in h2v2_upsample()
275 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr) in h2v1_fancy_upsample() argument
[all …]
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| D | jsimd.h | 43 JSAMPARRAY input_data, JSAMPARRAY output_data);
49 JSAMPARRAY input_data, JSAMPARRAY output_data);
53 JSAMPARRAY input_data, JSAMPARRAY output_data);
61 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr);
64 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr);
67 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr);
74 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr);
77 JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr);
|
| /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()
|
| 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/examples/tutorials/mnist/ |
| D | BUILD | 18 ":input_data",
24 name = "input_data",
25 srcs = ["input_data.py"],
55 ":input_data",
68 ":input_data",
80 ":input_data",
92 ":input_data",
110 ":input_data",
131 ":input_data",
|
| /external/tensorflow/tensorflow/contrib/lite/kernels/internal/reference/ |
| D | reference_ops.h | 157 inline void Conv(const float* input_data, const Dims<4>& input_dims, in Conv() argument
195 float input_value = input_data[Offset(input_dims, in_channel, in Conv()
221 void Conv(const float* input_data, const Dims<4>& input_dims, in Conv() argument
229 Conv(input_data, input_dims, filter_data, filter_dims, bias_data, bias_dims, in Conv()
237 void Conv(const float* input_data, const Dims<4>& input_dims, in Conv() argument
243 Conv<Ac>(input_data, input_dims, filter_data, filter_dims, bias_data, in Conv()
248 inline void Conv(const uint8* input_data, const Dims<4>& input_dims, in Conv() argument
289 int32 input_val = input_data[Offset(input_dims, in_channel, in Conv()
318 inline void Conv(const uint8* input_data, const Dims<4>& input_dims, in Conv() argument
338 Conv(input_data, input_dims, input_offset, filter_data, filter_dims, in Conv()
[all …]
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| /external/tensorflow/tensorflow/contrib/tensor_forest/python/ |
| D | tensor_forest_test.py | 64 input_data = [[-1., 0.], [-1., 2.], # node 1
76 graph = graph_builder.training_graph(input_data, input_labels)
80 input_data = [[-1., 0.], [-1., 2.], # node 1
93 graph = graph_builder.training_graph(input_data, input_labels)
97 input_data = [[-1., 0.], [-1., 2.], # node 1
108 probs, paths, var = graph_builder.inference_graph(input_data)
114 input_data = sparse_tensor.SparseTensor(
128 graph = graph_builder.training_graph(input_data, input_labels)
132 input_data = sparse_tensor.SparseTensor(
152 probs, paths, var = graph_builder.inference_graph(input_data)
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| /external/tensorflow/tensorflow/stream_executor/cuda/ |
| D | cuda_dnn.h | 67 const DeviceMemory<Eigen::half>& input_data,
84 const DeviceMemory<float>& input_data,
101 const DeviceMemory<double>& input_data,
118 const DeviceMemory<Eigen::half>& input_data,
142 const DeviceMemory<float>& input_data,
166 const DeviceMemory<double>& input_data,
246 const DeviceMemory<float>& input_data,
257 const DeviceMemory<double>& input_data,
265 const DeviceMemory<Eigen::half>& input_data,
337 const DeviceMemory<float>& input_data, in DoConvolveQuantized() argument
[all …]
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| /external/autotest/tko/parsers/ |
| D | version_0_unittest.py | 205 input_data = ("\t\t\tGOOD\t----\t----\t"
207 line = version_0.status_line.parse_line(input_data)
218 input_data = ("\t\tGOOD\t----\t----\t"
221 line = version_0.status_line.parse_line(input_data +
235 input_data = ("\tEND FAIL\t----\ttest\tfield1=val1\tStatus\nwith\n"
238 line = version_0.status_line.parse_line(input_data)
249 input_data = " GOOD\trandom\tfields\tof text"
250 line = version_0.status_line.parse_line(input_data)
252 line = version_0.status_line.parse_line(input_data.lstrip())
263 input_data = "\t\tGOOD\tfield\tsecond field"
[all …]
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| /external/tensorflow/tensorflow/contrib/tensor_forest/hybrid/core/ops/ |
| D | hard_routing_function_op.cc | 97 const Tensor& input_data = context->input(0); in Compute() local
101 if (input_data.shape().dim_size(0) > 0) { in Compute()
103 context, input_data.shape().dims() == 2, in Compute()
108 if (!CheckTensorBounds(context, input_data)) return; in Compute()
110 const int32 num_data = static_cast<int32>(input_data.shape().dim_size(0)); in Compute()
112 static_cast<int32>(input_data.shape().dim_size(1)); in Compute()
133 const auto data = input_data.tensor<float, 2>(); in Compute()
139 const Tensor point = input_data.Slice(i, i + 1); in Compute()
|
| D | routing_function_op.cc | 88 const Tensor& input_data = context->input(0); in Compute() local
92 if (input_data.shape().dim_size(0) > 0) { in Compute()
94 context, input_data.shape().dims() == 2, in Compute()
99 if (!CheckTensorBounds(context, input_data)) return; in Compute()
101 const int32 num_data = static_cast<int32>(input_data.shape().dim_size(0)); in Compute()
103 static_cast<int32>(input_data.shape().dim_size(1)); in Compute()
118 const Tensor point = input_data.Slice(i, i + 1); in Compute()
|
| D | k_feature_routing_function_op.cc | 103 const Tensor& input_data = context->input(0); in Compute() local
107 if (input_data.shape().dim_size(0) > 0) { in Compute()
109 context, input_data.shape().dims() == 2, in Compute()
114 if (!CheckTensorBounds(context, input_data)) return; in Compute()
116 const int32 num_data = static_cast<int32>(input_data.shape().dim_size(0)); in Compute()
118 static_cast<int32>(input_data.shape().dim_size(1)); in Compute()
134 const Tensor point = input_data.Slice(i, i + 1); in Compute()
|
| /external/libjpeg-turbo/simd/ |
| D | jcsample-mmx.asm | 31 ; JSAMPARRAY input_data, JSAMPARRAY output_data);
38 %define input_data(b) (b)+24 ; JSAMPARRAY input_data
71 mov esi, JSAMPARRAY [input_data(ebp)] ; input_data
105 mov esi, JSAMPARRAY [input_data(ebp)] ; input_data
148 add esi, byte SIZEOF_JSAMPROW ; input_data
173 ; JSAMPARRAY input_data, JSAMPARRAY output_data);
180 %define input_data(b) (b)+24 ; JSAMPARRAY input_data
213 mov esi, JSAMPARRAY [input_data(ebp)] ; input_data
247 mov esi, JSAMPARRAY [input_data(ebp)] ; input_data
305 add esi, byte 2*SIZEOF_JSAMPROW ; input_data
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| D | jcsample-sse2.asm | 31 ; JSAMPARRAY input_data, JSAMPARRAY output_data);
38 %define input_data(b) (b)+24 ; JSAMPARRAY input_data
71 mov esi, JSAMPARRAY [input_data(ebp)] ; input_data
105 mov esi, JSAMPARRAY [input_data(ebp)] ; input_data
163 add esi, byte SIZEOF_JSAMPROW ; input_data
186 ; JSAMPARRAY input_data, JSAMPARRAY output_data);
193 %define input_data(b) (b)+24 ; JSAMPARRAY input_data
226 mov esi, JSAMPARRAY [input_data(ebp)] ; input_data
260 mov esi, JSAMPARRAY [input_data(ebp)] ; input_data
334 add esi, byte 2*SIZEOF_JSAMPROW ; input_data
|
| /external/tensorflow/tensorflow/stream_executor/ |
| D | dnn.h | 1157 const DeviceMemory<float>& input_data,
1170 const DeviceMemory<double>& input_data,
1181 const DeviceMemory<Eigen::half>& input_data,
1203 const DeviceMemory<float>& input_data,
1214 const DeviceMemory<float>& input_data,
1232 const DeviceMemory<float>& input_data,
1309 const DeviceMemory<float>& input_data,
1327 const DeviceMemory<Eigen::half>& input_data,
1352 const DeviceMemory<float>& input_data,
1360 const DeviceMemory<double>& input_data,
[all …]
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| /external/tensorflow/tensorflow/contrib/lite/kernels/internal/optimized/ |
| D | optimized_ops.h | 327 inline void FullyConnected(const float* input_data, const Dims<4>& input_dims, in FullyConnected() argument
345 MapAsMatrixWithGivenNumberOfRows(input_data, input_dims, input_rows); in FullyConnected()
359 void FullyConnected(const float* input_data, const Dims<4>& input_dims, in FullyConnected() argument
365 FullyConnected(input_data, input_dims, weights_data, weights_dims, bias_data, in FullyConnected()
380 const uint8* input_data, const Dims<4>& input_dims, int32 input_offset, in FullyConnectedAsGEMV() argument
398 preload_l1_stream(input_data + k); in FullyConnectedAsGEMV()
415 const uint8x16_t input_val_u8 = vld1q_u8(input_data + in); in FullyConnectedAsGEMV()
450 const uint8x8_t input_val_u8 = vld1_u8(input_data + in); in FullyConnectedAsGEMV()
480 const int32 input_val = input_data[in] + input_offset; in FullyConnectedAsGEMV()
560 inline void FullyConnected(const uint8* input_data, const Dims<4>& input_dims, in FullyConnected() argument
[all …]
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| /external/tensorflow/tensorflow/tools/graph_transforms/ |
| D | fold_batch_norms_test.cc | 43 Tensor input_data(DT_FLOAT, TensorShape({1, 1, 6, 2})); in TestFoldBatchNormsConv2D() local
45 &input_data, {1.0f, 4.0f, 2.0f, 5.0f, 3.0f, 6.0f, -1.0f, -4.0f, -2.0f, in TestFoldBatchNormsConv2D()
48 Const(root.WithOpName("input_op"), Input::Initializer(input_data)); in TestFoldBatchNormsConv2D()
94 Tensor input_data(DT_FLOAT, TensorShape({1, 1, 6, 2})); in TestFoldBatchNormsConv2DShared() local
96 &input_data, {1.0f, 4.0f, 2.0f, 5.0f, 3.0f, 6.0f, -1.0f, -4.0f, -2.0f, in TestFoldBatchNormsConv2DShared()
99 Const(root.WithOpName("input_op"), Input::Initializer(input_data)); in TestFoldBatchNormsConv2DShared()
152 Tensor input_data(DT_FLOAT, TensorShape({6, 2})); in TestFoldBatchNormsMatMul() local
154 &input_data, {1.0f, 4.0f, 2.0f, 5.0f, 3.0f, 6.0f, -1.0f, -4.0f, -2.0f, in TestFoldBatchNormsMatMul()
157 Const(root.WithOpName("input_op"), Input::Initializer(input_data)); in TestFoldBatchNormsMatMul()
|