| /external/tensorflow/tensorflow/core/framework/ |
| common_shape_fns_test.cc | 43 b.Output(strings::StrCat("o", i, ": float"));
75 .Output("t: float")
86 ShapeHandle output = c.output(0); local
87 EXPECT_EQ(0, c.Rank(output));
94 ShapeHandle output = c.output(0); local
95 EXPECT_EQ(0, c.Rank(output));
104 .Output("c: float")
122 ShapeHandle output = c.output(0) local
132 ShapeHandle output = c.output(0); local
153 ShapeHandle output = c.output(0); local
194 ShapeHandle output = c.output(0); local
212 ShapeHandle output = c.output(0); local
237 ShapeHandle output = c.output(0); local
247 ShapeHandle output = c.output(0); local
256 ShapeHandle output = c.output(0); local
270 ShapeHandle output = c.output(0); local
284 ShapeHandle output = c.output(0); local
298 ShapeHandle output = c.output(0); local
340 ShapeHandle output = c.output(0); local
349 ShapeHandle output = c.output(0); local
362 ShapeHandle output = c.output(0); local
375 ShapeHandle output = c.output(0); local
388 ShapeHandle output = c.output(0); local
[all...] |
| /external/tensorflow/tensorflow/core/grappler/ |
| graph_view_test.cc | 49 GraphView::OutputPort output = graph.GetOutputPort("AddN", 0); local
50 EXPECT_EQ("AddN", output.node->name());
51 EXPECT_EQ(0, output.port_id);
52 EXPECT_EQ(2, graph.GetFanout(output).size());
53 for (auto fanout : graph.GetFanout(output)) {
81 Output a = ops::Const(s.WithOpName("a"), 0.0f, {10, 10});
82 Output b = ops::Square(s.WithOpName("b"), {a});
83 Output c = ops::Sqrt(s.WithOpName("c"), {b});
84 Output d = ops::AddN(s.WithOpName("d").WithControlDependencies(a), {b, c});
90 GraphView::OutputPort output = graph.GetOutputPort("a", -1) local
[all...] |
| /external/tensorflow/tensorflow/core/kernels/ |
| attention_ops.cc | 80 Tensor* output = nullptr; variable
81 OP_REQUIRES_OK(context, context->allocate_output(0, output_shape, &output));
82 if (output->NumElements() == 0) {
97 output->tensor<float, 4>().swap_layout().device(
|
| cholesky_op.cc | 70 // Output the lower triangular in a dense form.
85 typename TTypes<T, 3>::Tensor output); \
123 // Allocate output.
126 Tensor* output; variable
129 {0}, 0, input.shape(), &output),
132 // Copy the lower triangular part of the input matrices to the output and
137 auto output_reshaped = output->template flat_inner_dims<Scalar, 3>();
|
| colorspace_op.cc | 58 // Create the output Tensor with the same dimensions as the input Tensor.
59 Tensor* output = nullptr; variable
61 context->allocate_output(0, input.shape(), &output));
66 typename TTypes<T, 2>::Tensor output_data = output->flat_inner_dims<T>();
97 // Create the output Tensor with the same dimensions as the input Tensor.
98 Tensor* output = nullptr; variable
100 context->allocate_output(0, input.shape(), &output));
103 typename TTypes<T, 2>::Tensor output_data = output->flat_inner_dims<T>();
|
| decode_csv_op.cc | 60 OpOutputList output; variable
61 OP_REQUIRES_OK(ctx, ctx->output_list("output", &output));
65 OP_REQUIRES_OK(ctx, output.allocate(i, records->shape(), &out));
90 output[f]->flat<int32>()(i) = record_defaults[f].flat<int32>()(0);
97 output[f]->flat<int32>()(i) = value;
110 output[f]->flat<int64>()(i) = record_defaults[f].flat<int64>()(0);
117 output[f]->flat<int64>()(i) = value;
129 output[f]->flat<float>()(i) = record_defaults[f].flat<float>()(0);
136 output[f]->flat<float>()(i) = value
[all...] |
| decode_wav_op.cc | 70 Tensor* output = nullptr; variable
75 &output));
77 auto output_matrix = output->matrix<float>();
|
| fake_quant_ops_test.cc | 71 Tensor* output = GetOutput(0); local
74 ExpectClose(expected, *output);
100 Tensor* output = GetOutput(0); local
103 ExpectClose(expected, *output);
130 Tensor* output = GetOutput(0); local
133 ExpectClose(expected, *output);
378 Tensor* output = GetOutput(0); local
383 ExpectClose(expected, *output);
408 Tensor* output = GetOutput(0); local
413 ExpectClose(expected, *output);
439 Tensor* output = GetOutput(0); local
470 Tensor* output = GetOutput(0); local
[all...] |
| quantize_down_and_shrink_range.cc | 45 Tensor* output = nullptr; variable
46 OP_REQUIRES_OK(ctx, ctx->allocate_output(0, input.shape(), &output));
75 auto output_array = output->flat<T2>();
88 actual_max_float, output->flat<quint8>().data());
92 input_max_float, actual_min_float, actual_max_float, output);
|
| quantized_bias_add_op.cc | 60 Tensor* output = nullptr; variable
62 context->allocate_output(0, input.shape(), &output));
77 output->flat<qint32>().data());
81 input_max, bias, bias_min, bias_max, output, &total_min, &total_max);
|
| random_crop_op.cc | 57 Tensor* output = nullptr; variable
60 OP_REQUIRES_OK(context, context->allocate_output(0, output_shape, &output));
64 *output = context->input(0);
67 // TODO(shlens): Implement edge case to guarantee output size dimensions.
96 typename TTypes<T, 3>::Tensor output_data(output->tensor<T, 3>());
|
| sparse_to_dense_op.cc | 93 Tensor* output = nullptr; variable
94 OP_REQUIRES_OK(c, c->allocate_output(0, output_tensor_shape, &output));
120 gtl::InlinedVector<int64, 8> order(output->shape().dims());
122 sparse::SparseTensor st(indices_shaped, sparse_values_b, output->shape(),
129 output->flat<T>().setConstant(default_value.scalar<T>()());
130 OP_REQUIRES(c, st.template ToDense<T>(output, false /* initialize */),
133 output->shape().DebugString()));
|
| /external/tensorflow/tensorflow/core/lib/io/snappy/ |
| snappy_outputbuffer.cc | 35 // The deflated output is accumulated in output_buffer_ and gets written to
158 string output; local
159 if (!port::Snappy_Compress(next_in_, avail_in_, &output)) {
163 // Write length of compressed block to output buffer.
168 compressed_length_array[i] = output.size() >> (8 * (3 - i));
172 // Write compressed output to buffer.
173 TF_RETURN_IF_ERROR(AddToOutputBuffer(output.data(), output.size()));
|
| /external/webrtc/webrtc/modules/audio_coding/neteq/ |
| audio_multi_vector_unittest.cc | 194 int16_t* output = new int16_t[interleaved_length_]; local
198 vec.ReadInterleaved(read_samples, output));
200 memcmp(array_interleaved_, output, read_samples * sizeof(int16_t)));
204 vec.ReadInterleaved(array_length() + 1, output));
206 memcmp(array_interleaved_, output, read_samples * sizeof(int16_t)));
208 delete [] output;
215 int16_t* output = NULL; local
218 EXPECT_EQ(0u, vec.ReadInterleaved(read_samples, output));
|
| /external/webrtc/webrtc/test/testsupport/ |
| perf_test.cc | 75 void AppendResult(std::string& output,
84 output += ResultsToString(measurement, modifier, trace,
99 void AppendResult(std::string& output,
106 output += ResultsToString(measurement, modifier, trace, value, "", "", units,
120 void AppendResultMeanAndError(std::string& output,
127 output += ResultsToString(measurement, modifier, trace, mean_and_error,
141 void AppendResultList(std::string& output,
148 output += ResultsToString(measurement, modifier, trace, values,
170 std::string output; local
171 AppendResult(output, "commit_charge", "", "cc" + trace_name, charge, "kb"
[all...] |
| /frameworks/av/drm/libdrmframework/plugins/forward-lock/FwdLockEngine/include/ |
| FwdLockEngine.h | 288 * the output converted data and offset. In this case the
518 FwdLockConv_Output_t output; member in class:android::FwdLockEngine::ConvertSession
522 memset(&output, 0, sizeof(FwdLockConv_Output_t));
|
| /frameworks/base/cmds/statsd/src/ |
| HashableDimensionKey.cpp | 63 HashableDimensionKey* output) {
71 output->addValue(value);
72 output->mutableValue(num_matches)->mField.setTag(value.mField.getTag());
73 output->mutableValue(num_matches)->mField.setField(
83 const std::vector<FieldValue>& values, std::vector<FieldValue>* output) {
87 output->push_back(value);
170 std::string output; local
172 output += StringPrintf("(%d)%#x->%s ", value.mField.getTag(), value.mField.getField(),
175 return output;
|
| /frameworks/base/cmds/statsd/tests/ |
| StatsLogProcessor_test.cpp | 160 ConfigMetricsReportList output; local
161 output.ParseFromArray(bytes.data(), bytes.size());
162 EXPECT_TRUE(output.reports_size() > 0);
163 auto uidmap = output.reports(0).uid_map();
185 ConfigMetricsReportList output; local
186 output.ParseFromArray(bytes.data(), bytes.size());
187 EXPECT_TRUE(output.reports_size() > 0);
188 EXPECT_FALSE(output.reports(0).has_uid_map());
211 ConfigMetricsReportList output; local
212 output.ParseFromArray(bytes.data(), bytes.size())
[all...] |
| /frameworks/base/libs/hwui/ |
| DisplayList.cpp | 132 void DisplayList::output(std::ostream& output, uint32_t level) { function in class:android::uirenderer::DisplayList
134 OpDumper::dump(*op, output, level + 1);
137 rnOp->renderNode->output(output, level + 1);
139 output << std::endl;
|
| /frameworks/base/packages/SettingsLib/tests/robotests/src/com/android/settingslib/license/ |
| LicenseHtmlGeneratorFromXmlTest.java | 118 StringWriter output = new StringWriter(); local
120 fileNameToContentIdMap, contentIdToFileContentMap, new PrintWriter(output));
121 assertThat(output.toString()).isEqualTo(EXPECTED_HTML_STRING);
|
| /frameworks/ml/nn/runtime/test/generated/models/ |
| strided_slice.model.cpp | 15 auto output = model->addOperand(&type3); local
29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
33 {output});
|
| strided_slice_float_1.model.cpp | 15 auto output = model->addOperand(&type3); local
29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
33 {output});
|
| strided_slice_float_10.model.cpp | 15 auto output = model->addOperand(&type3); local
29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
33 {output});
|
| strided_slice_float_10_relaxed.model.cpp | 15 auto output = model->addOperand(&type3); local
29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
33 {output});
|
| strided_slice_float_11.model.cpp | 15 auto output = model->addOperand(&type3); local
29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
33 {output});
|
