| /build/kati/testcase/ |
| multi_rule.mk | 10 outputs := foo.c macro
12 $(outputs): |
|
| /external/tensorflow/tensorflow/cc/framework/ |
| testutil.cc | 34 std::vector<Tensor> outputs; local
35 GetTensors(scope, {std::move(tensor)}, &outputs);
36 *out = outputs[0];
48 std::vector<Tensor> outputs; local
49 GetTensors(scope, assign_vars, {std::move(tensor)}, &outputs);
50 *out = outputs[0];
|
| /external/mesa3d/src/gallium/drivers/r300/ |
| r300_vs.h | 41 struct r300_shader_semantics outputs; member in struct:r300_vertex_shader
|
| /external/tensorflow/tensorflow/cc/client/ |
| client_session_test.cc | 38 std::vector<Tensor> outputs; local
40 TF_EXPECT_OK(session.Run({c}, &outputs));
41 test::ExpectTensorEqual<int>(outputs[0], test::AsTensor<int>({1, 1}, {1, 2}));
50 std::vector<Tensor> outputs; local
52 TF_EXPECT_OK(session.Run({{a, 1}, {b, 41}}, {c}, &outputs));
53 test::ExpectTensorEqual<int>(outputs[0], test::AsTensor<int>({42}, {}));
61 std::vector<Tensor> outputs; local
63 TF_EXPECT_OK(session.Run({{a, {1, 1}}}, {c}, &outputs));
64 test::ExpectTensorEqual<int>(outputs[0], test::AsTensor<int>({3, 3}, {2}));
67 outputs.clear()
93 std::vector<Tensor> outputs; local
[all...] |
| /external/tensorflow/tensorflow/contrib/lite/testing/ |
| parse_testdata.h | 34 std::vector<FloatTensor> outputs; member in struct:tflite::testing::Example
45 // Check outputs against (already) evaluated result.
61 // // produces the expected output. Inputs and outputs should be specified in
|
| /external/tensorflow/tensorflow/core/kernels/ |
| mfcc_op_test.cc | 55 std::vector<Tensor> outputs; local
58 session.Run(ClientSession::FeedType(), {mfcc_op.output}, &outputs));
60 const Tensor& mfcc_tensor = outputs[0];
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| spectrogram_op_test.cc | 53 std::vector<Tensor> outputs; local
56 {spectrogram_op.spectrogram}, &outputs));
58 const Tensor& spectrogram_tensor = outputs[0];
87 std::vector<Tensor> outputs; local
90 {spectrogram_op.spectrogram}, &outputs));
92 const Tensor& spectrogram_tensor = outputs[0];
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| decode_wav_op_test.cc | 68 std::vector<Tensor> outputs; local
72 &outputs));
74 const Tensor& audio = outputs[0];
75 const int sample_rate = outputs[1].flat<int32>()(0);
|
| encode_wav_op_test.cc | 57 std::vector<Tensor> outputs; local
61 &outputs));
63 const Tensor& audio = outputs[0];
64 const int sample_rate = outputs[1].flat<int32>()(0);
|
| sparse_split_op.cc | 68 const std::vector<sparse::SparseTensor> outputs = variable
72 context->set_output(slice_index, outputs[slice_index].indices());
74 outputs[slice_index].values());
78 {outputs[slice_index].dims()}, &shape));
79 auto output_shape = outputs[slice_index].shape();
80 for (int dim = 0; dim < outputs[slice_index].dims(); ++dim) {
|
| /external/tensorflow/tensorflow/core/util/ |
| stat_summarizer_test.cc | 69 std::vector<Tensor> outputs; local
70 TF_ASSERT_OK(session->Run(run_options, {}, {"myconstant:0"}, {}, &outputs,
|
| /external/tensorflow/tensorflow/contrib/lite/java/src/main/java/org/tensorflow/lite/ |
| Interpreter.java | 38 * <p>If a model takes multiple inputs or outputs:
50 * <p>Orders of inputs and outputs are determined when converting TensorFlow model to TensorFlowLite
91 Map<Integer, Object> outputs = new HashMap<>(); local
92 outputs.put(0, output);
93 runForMultipleInputsOutputs(inputs, outputs);
97 * Runs model inference if the model takes multiple inputs, or returns multiple outputs.
104 * @param outputs a map mapping output indices to multidimensional arrays of output data. It only
105 * needs to keep entries for the outputs to be used.
108 @NotNull Object[] inputs, @NotNull Map<Integer, Object> outputs) {
113 if (outputs == null || tensors == null || outputs.size() > tensors.length)
[all...] |
| /external/deqp/framework/referencerenderer/ |
| rrVertexPacket.hpp | 40 * Vertex packet contains inputs and outputs for vertex shading.
46 * Outputs include position, optional point size, and list of generic
47 * outputs that shader can write to. Number of VS outputs is specified
51 * outputs must be allocated memory after the instance.
59 // Outputs.
64 GenericVec4 outputs[1]; //!< Generic vertex shader outputs - passed to subsequent shader stages. Array length is the number of outputs. member in struct:rr::VertexPacket
65 // --- DO NOT ADD ANY MEMBER VARIABLES AFTER OUTPUTS, OUTPUTS IS VARIABLE-SIZED --- /
[all...] |
| /external/deqp/modules/gles3/scripts/ |
| gen-large-constant-arrays.py | 59 def __init__(self, name, array, inputs, outputs):
63 self.outputs = outputs
69 "VALUES": genValues(self.inputs, self.outputs),
104 outputs = [array[index] for index in indexes] variable
105 outType = outputs[0].typeString()
111 [("%s out0" % outType, outputs)])
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| /external/tensorflow/tensorflow/compiler/tf2xla/lib/ |
| while_loop.cc | 77 auto outputs = builder->While(cond, body, builder->Tuple(initial_values)); local
79 return unpack_tuple(outputs, arity, builder);
|
| /external/tensorflow/tensorflow/contrib/util/ |
| convert_graphdef_memmapped_format_test.cc | 84 std::vector<Tensor> outputs; local
85 TF_ASSERT_OK(session->Run({}, {result_name + ":0"}, {}, &outputs));
86 ASSERT_EQ(outputs.size(), 1);
87 EXPECT_EQ(outputs.front().flat<float>()(0), 2.0f * 3.0f * kTensorHeight);
88 EXPECT_EQ(outputs.front().flat<float>()(1), 2.0f * 3.0f * kTensorHeight);
89 EXPECT_EQ(outputs.front().flat<float>()(2), 2.0f * 3.0f * kTensorHeight);
|
| /external/tensorflow/tensorflow/core/common_runtime/ |
| graph_runner_test.cc | 50 std::vector<Tensor> outputs; local
51 Status s = graph_runner.Run(root.graph(), nullptr, {}, {c.name()}, &outputs);
53 ExpectEqual(42.0f, outputs[0].scalar<float>()());
71 // Create and destroy the GraphRunner, and ensure that the outputs are
73 std::vector<Tensor> outputs; local
77 graph_runner.Run(root.graph(), nullptr, inputs, {"add:0"}, &outputs);
80 ExpectEqual(3.0f, outputs[0].scalar<float>()());
88 std::vector<Tensor> outputs; local
90 &outputs);
92 ExpectEqual(42.0f, outputs[0].scalar<float>()())
110 std::vector<Tensor> outputs; local
[all...] |
| /external/tensorflow/tensorflow/core/grappler/optimizers/ |
| graph_rewriter.h | 86 DataTypeVector outputs; member in struct:tensorflow::grappler::GraphRewriter::NodeInfo
|
| /external/tensorflow/tensorflow/core/kernels/hexagon/ |
| hexagon_rewriter_transform.cc | 26 --outputs='softmax' \
49 std::vector<string> outputs; local
76 outputs.emplace_back(output_name);
81 inputs, outputs, &mutable_input_graph_def);
|
| /external/tensorflow/tensorflow/core/profiler/internal/advisor/ |
| expensive_operation_checker.h | 57 std::vector<string> outputs; local
60 outputs.push_back(strings::Printf(
69 reports_.add_reports(str_util::Join(outputs, "\n"));
90 std::vector<string> outputs; local
91 CodeViewHelper(node, 0, &outputs);
92 reports_.add_reports(str_util::Join(outputs, "\n"));
102 std::vector<string> outputs; local
105 outputs.push_back(strings::Printf(
111 reports_.add_reports(str_util::Join(outputs, "\n"));
115 std::vector<string>* outputs) {
[all...] |
| /external/tensorflow/tensorflow/python/estimator/export/ |
| export_output.py | 45 The SignatureDef will specify outputs as described in this ExportOutput,
166 Named outputs must be provided as a dict from string to `Tensor`,
169 def __init__(self, outputs):
173 outputs: A `Tensor` or a dict of string to `Tensor` representing the
177 ValueError: if the outputs is not dict, or any of its keys are not
180 if not isinstance(outputs, dict):
181 outputs = {_SINGLE_OUTPUT_DEFAULT_NAME: outputs}
182 for key, value in outputs.items():
189 self._outputs = outputs
192 def outputs(self): member in class:PredictOutput
[all...] |
| /external/tensorflow/tensorflow/tools/graph_transforms/ |
| remove_ema_test.cc | 71 std::vector<Tensor> outputs; local
72 TF_ASSERT_OK(session->Run({}, {"matmul"}, {}, &outputs));
|
| /external/tensorflow/tensorflow/java/src/test/java/org/tensorflow/ |
| SessionTest.java | 39 AutoCloseableList<Tensor<?>> outputs =
41 assertEquals(1, outputs.size());
43 assertArrayEquals(expected, outputs.get(0).copyTo(new int[1][1]));
56 AutoCloseableList<Tensor<?>> outputs =
58 assertEquals(1, outputs.size());
60 assertArrayEquals(expected, outputs.get(0).copyTo(new int[1][1]));
114 // Sanity check on outputs.
115 AutoCloseableList<Tensor<?>> outputs = new AutoCloseableList<Tensor<?>>(result.outputs); local
116 assertEquals(1, outputs.size())
138 AutoCloseableList<Tensor<?>> outputs = local
[all...] |
| /build/kati/ |
| rule.cc | 64 vector<Symbol> outputs; local
66 outputs.push_back(Intern(TrimLeadingCurdir(tok)));
70 (!outputs.empty() && IsPatternRule(outputs[0].str()));
71 for (size_t i = 1; i < outputs.size(); i++) {
72 if (IsPatternRule(outputs[i].str()) != is_first_pattern) {
106 rule_var->outputs.swap(outputs);
119 rule->output_patterns.swap(outputs);
121 rule->outputs.swap(outputs)
[all...] |
| rule.h | 40 vector<Symbol> outputs; member in class:Rule
55 vector<Symbol> outputs; member in struct:RuleVarAssignment
|
