/external/tensorflow/tensorflow/contrib/graph_editor/ |
H A D | edit.py | 52 """Detach all the external control outputs of the subgraph sgv. 109 control outputs are also detached. 119 # only select outputs with consumers 121 for output_id, output_t in enumerate(sgv.outputs) 127 if input_t in sgv_.outputs]) 142 """Detach both the inputs and the outputs of a subgraph view. 150 control outputs are enabled. 152 control inputs and control outputs are enabled. This is equivalent to set 173 """Connect the outputs of sgv0 to the inputs of sgv1. 176 sgv0: the first subgraph to have its outputs swappe [all...] |
/external/tensorflow/tensorflow/contrib/layers/python/layers/ |
H A D | utils.py | 39 NamedOutputs = namedtuple('NamedOutputs', ['name', 'outputs']) 42 def collect_named_outputs(collections, alias, outputs): 43 """Add `Tensor` outputs tagged with alias to collections. 52 alias: String to append to the list of aliases of outputs, for example, 54 outputs: Tensor, an output tensor to collect 57 The outputs Tensor to allow inline call. 60 append_tensor_alias(outputs, alias) 61 ops.add_to_collections(collections, outputs) 62 return outputs
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/external/tensorflow/tensorflow/contrib/learn/python/learn/ops/ |
H A D | seq2seq_ops.py | 38 in sampling. E.g. they shouldn't have dependncy on outputs. 74 Encoder input from x, and decoder inputs and outputs from y. 101 List of tensors for outputs and states for training and sampling sub-graphs. 105 outputs, sampling_outputs = [], [] 111 outputs.append(output) 116 sampling_outputs.append(outputs[i]) 123 return outputs, states, sampling_outputs, sampling_states 143 List of tensors for outputs and states for training and sampling sub-graphs.
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/external/tensorflow/tensorflow/contrib/lite/ |
H A D | graph_info.h | 48 virtual const std::vector<int>& outputs() const = 0;
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/external/tensorflow/tensorflow/contrib/lite/testing/ |
H A D | tflite_driver.h | 28 // A test runner that feeds inputs into TF Lite and verifies its outputs. 39 return interpreter_->outputs();
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/external/tensorflow/tensorflow/contrib/lite/toco/graph_transformations/ |
H A D | drop_fake_quant.cc | 40 const auto& output_array = model->GetArray(fakequant_op->outputs[0]);
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H A D | ensure_bias_vectors.cc | 33 const string& output_name = op->outputs[0];
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H A D | graph_transformations.cc | 69 for (const string& output : op->outputs) { 77 for (const string& output : op->outputs) { 100 // an operator's outputs to the list of output arrays. 101 if (useful_arrays.count((*it)->outputs[0])) { 104 for (const string& output : (*it)->outputs) {
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H A D | remove_final_dequantize_op.cc | 34 const auto& output = dequantize_op->outputs[0];
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H A D | remove_trivial_slice.cc | 37 const auto& output_array = model.GetArray(op.outputs[0]);
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/external/tensorflow/tensorflow/contrib/tensor_forest/hybrid/python/ops/ |
H A D | training_ops.py | 62 routing_function_tensor = op.outputs[0] 140 path_probability_tensor = op.outputs[0] 141 path_tensor = op.outputs[1] 218 routing_function_tensor = op.outputs[0]
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/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/ |
H A D | candidate_graph_runner.h | 63 std::vector<Tensor>* outputs);
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/external/tensorflow/tensorflow/core/common_runtime/ |
H A D | kernel_benchmark_testlib.h | 50 // execution, we recv outputs from the corresponding send nodes in 54 const std::vector<const Node*>& outputs, int iters);
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/external/tensorflow/tensorflow/core/distributed_runtime/rpc/ |
H A D | grpc_session.h | 72 std::vector<Tensor>* outputs) override; 77 std::vector<Tensor>* outputs, RunMetadata* run_metadata) override; 95 std::vector<Tensor>* outputs) override; 118 std::vector<Tensor>* outputs, RunMetadata* run_metadata,
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H A D | grpc_session.cc | 170 const std::vector<string>& target_node_names, std::vector<Tensor>* outputs, 219 outputs->resize(output_tensor_names.size()); 232 (*outputs)[fetch_it->second] = output; 241 (*outputs)[i] = (*outputs)[offset]; 257 std::vector<Tensor>* outputs, 260 outputs, run_metadata, /* prun_handle */ ""); 266 std::vector<Tensor>* outputs) { 270 outputs, nullptr); 321 std::vector<Tensor>* outputs) { 166 RunHelper( const RunOptions& run_options, const std::vector<std::pair<string, Tensor>>& inputs, const std::vector<string>& output_tensor_names, const std::vector<string>& target_node_names, std::vector<Tensor>* outputs, RunMetadata* run_metadata, const string& prun_handle) argument 253 Run(const RunOptions& run_options, const std::vector<std::pair<string, Tensor>>& inputs, const std::vector<string>& output_tensor_names, const std::vector<string>& target_node_names, std::vector<Tensor>* outputs, RunMetadata* run_metadata) argument 263 Run(const std::vector<std::pair<string, Tensor>>& inputs, const std::vector<string>& output_tensor_names, const std::vector<string>& target_node_names, std::vector<Tensor>* outputs) argument 318 PRun(const string& handle, const std::vector<std::pair<string, Tensor>>& inputs, const std::vector<string>& output_names, std::vector<Tensor>* outputs) argument [all...] |
/external/tensorflow/tensorflow/core/kernels/ |
H A D | i_remote_fused_graph_executor.h | 58 // Read output node's outputs as ByteArrays 64 const std::vector<string>& outputs,
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H A D | quantized_add_op_test.cc | 72 std::vector<Tensor> outputs; local 75 {add.z, add.min_z, add.max_z}, &outputs)); 77 const Tensor& z_quantized = outputs[0]; 78 const float z_min = outputs[1].flat<float>()(0); 79 const float z_max = outputs[2].flat<float>()(0); 120 std::vector<Tensor> outputs; local 121 TF_EXPECT_OK(session.Run(ClientSession::FeedType(), {add.z}, &outputs)); 123 const Tensor& expected_values_tensor = outputs[0]; 160 std::vector<Tensor> outputs; local 166 {add.z, add.min_z, add.max_z}, &outputs)); [all...] |
H A D | quantized_mul_op_test.cc | 72 std::vector<Tensor> outputs; local 75 {mul.z, mul.min_z, mul.max_z}, &outputs)); 77 const Tensor& z_quantized = outputs[0]; 78 const float z_min = outputs[1].flat<float>()(0); 79 const float z_max = outputs[2].flat<float>()(0); 120 std::vector<Tensor> outputs; local 121 TF_EXPECT_OK(session.Run(ClientSession::FeedType(), {mul.z}, &outputs)); 123 const Tensor& expected_values_tensor = outputs[0]; 160 std::vector<Tensor> outputs; local 166 {mul.z, mul.min_z, mul.max_z}, &outputs)); [all...] |
/external/tensorflow/tensorflow/python/client/ |
H A D | tf_session_helper.h | 52 // are placed in out_values[], and these outputs[] become the property 82 // are placed in out_values[], and these outputs[] become the property 125 const std::vector<TF_Output>& outputs, 141 const std::vector<TF_Output>& outputs, 159 const std::vector<TF_Output>& outputs, 176 // `output_names` must be empty or have the same length as `outputs`. 180 const std::vector<TF_Output>& inputs, const std::vector<TF_Output>& outputs,
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/external/tensorflow/tensorflow/python/layers/ |
H A D | utils.py | 271 outputs = [] 278 consumer_outputs = z.outputs 280 outputs += consumer_outputs 282 for y in outputs:
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/external/tensorflow/tensorflow/python/saved_model/ |
H A D | simple_save_test.py | 67 outputs = {"y": var_y} 68 simple_save.simple_save(sess, export_dir, inputs, outputs) 84 # default key and method name, and the specified inputs and outputs. 97 self.assertEqual(1, len(signature_def.outputs)) 98 self._check_tensor_info(signature_def.outputs["y"], var_y)
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/external/deqp/external/vulkancts/modules/vulkan/shaderexecutor/ |
H A D | vktShaderIntegerFunctionTests.cpp | 367 virtual bool compare (const void* const* inputs, const void* const* outputs) = 0; 387 const int numOutputScalars = computeTotalScalarSize(m_spec.outputs); 391 const vector<void*> outputPointers = getInputOutputPointers(m_spec.outputs, outputData, m_numValues); 402 const vector<int> outScalarSizes = getScalarSizes(m_spec.outputs); 428 testCtx.getLog() << TestLog::Message << " outputs:" << TestLog::EndMessage; 430 testCtx.getLog() << TestLog::Message << " " << m_spec.outputs[outNdx].name << " = " 431 << VarValue(m_spec.outputs[outNdx].varType, curOutputPtr[outNdx]) 514 bool compare (const void* const* inputs, const void* const* outputs) argument 526 const deUint32 out0 = ((const deUint32*)outputs[0])[compNdx]; 527 const deUint32 out1 = ((const deUint32*)outputs[ 622 compare(const void* const* inputs, const void* const* outputs) argument 728 compare(const void* const* inputs, const void* const* outputs) argument 833 compare(const void* const* inputs, const void* const* outputs) argument 909 compare(const void* const* inputs, const void* const* outputs) argument 987 compare(const void* const* inputs, const void* const* outputs) argument 1055 compare(const void* const* inputs, const void* const* outputs) argument 1115 compare(const void* const* inputs, const void* const* outputs) argument 1179 compare(const void* const* inputs, const void* const* outputs) argument 1243 compare(const void* const* inputs, const void* const* outputs) argument [all...] |
/external/deqp/modules/gles31/functional/ |
H A D | es31fShaderIntegerFunctionTests.cpp | 177 virtual bool compare (const void* const* inputs, const void* const* outputs) = 0; 259 const int numOutputScalars = computeTotalScalarSize(m_spec.outputs); 263 const vector<void*> outputPointers = getInputOutputPointers(m_spec.outputs, outputData, m_numValues); 275 const vector<int> outScalarSizes = getScalarSizes(m_spec.outputs); 301 m_testCtx.getLog() << TestLog::Message << " outputs:" << TestLog::EndMessage; 303 m_testCtx.getLog() << TestLog::Message << " " << m_spec.outputs[outNdx].name << " = " 304 << VarValue(m_spec.outputs[outNdx].varType, curOutputPtr[outNdx]) 363 m_spec.outputs.push_back(Symbol("sum", glu::VarType(baseType, precision))); 364 m_spec.outputs.push_back(Symbol("carry", glu::VarType(baseType, glu::PRECISION_LOWP))); 423 bool compare (const void* const* inputs, const void* const* outputs) argument 517 compare(const void* const* inputs, const void* const* outputs) argument 609 compare(const void* const* inputs, const void* const* outputs) argument 700 compare(const void* const* inputs, const void* const* outputs) argument 762 compare(const void* const* inputs, const void* const* outputs) argument 827 compare(const void* const* inputs, const void* const* outputs) argument 887 compare(const void* const* inputs, const void* const* outputs) argument 936 compare(const void* const* inputs, const void* const* outputs) argument 996 compare(const void* const* inputs, const void* const* outputs) argument 1074 compare(const void* const* inputs, const void* const* outputs) argument [all...] |
/external/tensorflow/tensorflow/core/kernels/data/ |
H A D | parallel_interleave_dataset_op.cc | 219 if (!current_worker->outputs.empty()) { 232 Status s = current_worker->outputs.front().status; 233 current_worker->outputs.front().output.swap(*out_tensors); 234 current_worker->outputs.pop_front(); 238 // current_worker.outputs.empty(), and we must wait for this 316 std::deque<OutputElem> outputs; member in struct:tensorflow::__anon26427::ParallelInterleaveDatasetOp::Dataset::Iterator::WorkerState 318 // outputs. is_producing can be false despite !outputs.empty(). 320 // is_producing == false && outputs.empty(); 325 // the main thread to consume an element of `outputs` [all...] |
/external/v8/tools/turbolizer/ |
H A D | graph-layout.js | 153 for (var k = 0; k < n.outputs.length; ++k) { 154 var outputEdge = n.outputs[k]; 156 var output = n.outputs[k].target; 211 source.outputs.forEach(function(edge) { 250 // First determine the set of nodes that have no outputs. Those are the 313 for (var l = n.outputs.length - 1; l >= 0; --l) { 315 worklist.unshift(n.outputs[l].target); 317 worklist.push(n.outputs[l].target); 333 for (var l = 0; l < n.outputs.length; ++l) { 334 var output = n.outputs[ [all...] |