/external/pdfium/core/fpdfapi/page/ |
H A D | cpdf_stitchfunc.cpp | 79 bool CPDF_StitchFunc::v_Call(float* inputs, float* outputs) const { 89 m_pSubFunctions[i]->Call(&input, kRequiredNumInputs, outputs, &nresults);
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/external/skia/src/gpu/glsl/ |
H A D | GrGLSLVertexGeoBuilder.cpp | 43 fProgramBuilder->varyingHandler()->getVertexDecls(&this->inputs(), &this->outputs()); 94 fProgramBuilder->varyingHandler()->getGeomDecls(&this->inputs(), &this->outputs());
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/external/skqp/src/gpu/glsl/ |
H A D | GrGLSLVertexGeoBuilder.cpp | 43 fProgramBuilder->varyingHandler()->getVertexDecls(&this->inputs(), &this->outputs()); 94 fProgramBuilder->varyingHandler()->getGeomDecls(&this->inputs(), &this->outputs());
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/external/tensorflow/tensorflow/compiler/tests/ |
H A D | pooling_ops_3d_test.py | 34 def _AvgPoolGrad(inputs, outputs, output_gradients, ksize, strides, padding): 35 del outputs # Unused by average-pooling gradients. 56 expected: An array containing the expected operation outputs. 207 # Use the forward pool function to compute some corresponding outputs 211 outputs = pool_func( 217 output_vals = np.array(sess.run(outputs, {inputs: x})) 229 outputs, 241 outputs = array_ops.placeholder(dtypes.float32, shape=output_vals.shape) 244 outputs, 251 outputs [all...] |
/external/tensorflow/tensorflow/contrib/lite/java/src/test/java/org/tensorflow/lite/ |
H A D | TensorTest.java | 45 Tensor[] outputs = wrapper.run(inputs); 46 nativeHandle = outputs[0].nativeHandle;
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/external/tensorflow/tensorflow/contrib/lite/kernels/ |
H A D | kernel_util.h | 33 return &context->tensors[node->outputs->data[index]]; 36 inline int NumOutputs(const TfLiteNode* node) { return node->outputs->size; }
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/external/tensorflow/tensorflow/contrib/lite/toco/graph_transformations/ |
H A D | resolve_tensorflow_concat.cc | 69 concatenation_op->outputs = {tf_concat_op->outputs[0]};
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/external/tensorflow/tensorflow/contrib/tpu/python/tpu/ |
H A D | tpu_test.py | 57 outputs = convolutional.conv2d( 63 loss = math_ops.reduce_mean(math_ops.square(outputs))
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/external/tensorflow/tensorflow/core/common_runtime/ |
H A D | session.cc | 33 std::vector<Tensor>* outputs, RunMetadata* run_metadata) { 49 std::vector<Tensor>* outputs) { 29 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 46 PRun(const string& handle, const std::vector<std::pair<string, Tensor> >& inputs, const std::vector<string>& output_names, std::vector<Tensor>* outputs) argument
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H A D | direct_session_with_tracking_alloc_test.cc | 84 std::vector<Tensor> outputs; local 86 Status s = session->Run(inputs, output_names, target_nodes, &outputs); 136 std::vector<Tensor> outputs; local 139 TF_EXPECT_OK(session->Run({}, {x->name() + ":0"}, {}, &outputs)); 194 std::vector<Tensor> outputs; local 203 &outputs, &run_metadata); 278 std::vector<Tensor> outputs; local 282 &outputs, &run_metadata); 335 std::vector<Tensor> outputs; local 337 Status s = session->Run(run_options, inputs, output_names, {}, &outputs, [all...] |
/external/tensorflow/tensorflow/python/eager/ |
H A D | custom_gradient.py | 63 # gradients of the outputs as well. 80 def actual_grad_fn(*outputs): 81 return nest.flatten(grad_fn(*outputs))
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H A D | function.py | 249 def __init__(self, name, graph, operations, inputs, outputs): 258 outputs: the tensors in the graph which will be outputs to the function 267 [t._as_tf_output() for t in outputs], # pylint: disable=protected-access 300 outputs = [] 304 outputs.extend([item.values, item.indices, item.dense_shape]) 306 outputs.extend([item.values, item.indices]) 308 outputs.append(item) 309 return outputs 326 outputs [all...] |
/external/tensorflow/tensorflow/python/ |
H A D | pywrap_tfe.i | 155 %typemap(in) TFE_OutputTensorHandles* outputs (TFE_OutputTensorHandles temp) { 159 "outputs of the operation)"); 174 %typemap(argout) (TFE_OutputTensorHandles* outputs, TF_Status* out_status) { 204 %typemap(in) TFE_OutputTensorHandles* outputs (TFE_OutputTensorHandles temp); 207 %typemap(argout) (TFE_OutputTensorHandles* outputs, TF_Status* out_status);
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/external/mesa3d/src/gallium/drivers/freedreno/ir3/ |
H A D | ir3_shader.h | 151 /* NOTE: for input/outputs, slot is: 157 /* varyings/outputs: */ 162 } outputs[16 + 2]; /* +POSITION +PSIZE */ member in struct:ir3_shader_variant 298 if (so->outputs[j].slot == slot) 321 if (so->outputs[j].slot == slot) 379 ir3_link_add(l, vs->outputs[k].regid, 389 if (so->outputs[j].slot == slot) 390 return so->outputs[j].regid;
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/external/tensorflow/tensorflow/cc/tutorials/ |
H A D | example_trainer.cc | 125 std::vector<Tensor> outputs; 127 outputs.clear(); 129 session->Run({{"x", x}}, {"y:0", "y_normalized:0"}, {}, &outputs)); 130 CHECK_EQ(size_t{2}, outputs.size()); 132 const Tensor& y = outputs[0]; 133 const Tensor& y_norm = outputs[1];
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/external/tensorflow/tensorflow/contrib/specs/python/ |
H A D | summaries.py | 269 outputs = specs.create_net(spec, inputs) 270 return str(tf_structure(outputs).strip()) 293 outputs = specs.create_net(spec, inputs) 294 tf_parameter_summary(outputs) 312 outputs = specs.create_net(spec, inputs) 313 tf_print(outputs)
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/external/tensorflow/tensorflow/examples/android/src/org/tensorflow/demo/ |
H A D | TensorFlowImageClassifier.java | 52 private float[] outputs; field in class:TensorFlowImageClassifier 121 c.outputs = new float[numClasses]; 155 inferenceInterface.fetch(outputName, outputs); 169 for (int i = 0; i < outputs.length; ++i) { 170 if (outputs[i] > THRESHOLD) { 173 "" + i, labels.size() > i ? labels.get(i) : "unknown", outputs[i], null));
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/external/tensorflow/tensorflow/cc/framework/ |
H A D | gradients_test.cc | 262 // gradients graph, based on the requested grad outputs. 275 // Constructs an unstack with three outputs, and takes the gradient with 276 // respect to only two of the outputs. Tests that the output gradients are 333 std::vector<Tensor> outputs; local 334 test::GetTensors(scope_test_, {grad_outputs[0], grad_outputs[1]}, &outputs); 341 test::ExpectTensorEqual<int>(outputs[0], test::AsTensor<int>({40}, {1, 1})); 342 test::ExpectTensorEqual<int>(outputs[1], test::AsTensor<int>({20}, {1, 1})); 346 // Tests that gradients for multiple outputs of the same node are returned. 362 std::vector<Tensor> outputs; local 365 &outputs); 399 std::vector<Tensor> outputs; local 432 std::vector<Tensor> outputs; local [all...] |
/external/tensorflow/tensorflow/contrib/lite/ |
H A D | interpreter.cc | 62 const std::vector<int>& outputs() const override { 63 return interpreter_->outputs(); 97 TfLiteIntArrayFree(node.outputs); 188 TfLiteStatus Interpreter::SetOutputs(std::vector<int> outputs) { argument 190 &context_, CheckTensorIndices("outputs", outputs.data(), outputs.size())); 191 outputs_ = std::move(outputs); 264 const std::vector<int>& inputs, const std::vector<int>& outputs, 276 CheckTensorIndices("node outputs", output 263 AddNodeWithParameters( const std::vector<int>& inputs, const std::vector<int>& outputs, const char* init_data, size_t init_data_size, void* builtin_data, const TfLiteRegistration* registration, int* node_index) argument [all...] |
H A D | nnapi_delegate.cc | 314 node.outputs->data[/*kOutputStateTensor*/ 1]); 316 node.outputs->data[/*kCellStateTensor*/ 2]); 363 augmented_inputs.data(), static_cast<uint32_t>(node.outputs->size), 364 reinterpret_cast<uint32_t*>(node.outputs->data))); 380 static_cast<uint32_t>(interpreter->outputs().size()), 381 reinterpret_cast<const uint32_t*>(interpreter->outputs().data()))); 409 for (size_t i = 0; i < interpreter->outputs().size(); i++) { 410 int output = interpreter->outputs()[i]; 424 TfLiteTensor* tensor = interpreter->tensor(interpreter->outputs()[0]); 426 interpreter->typed_tensor<float>(interpreter->outputs()[ [all...] |
/external/tensorflow/tensorflow/core/debug/ |
H A D | debug_gateway_test.cc | 104 // Completed nodes with and without outputs 151 std::vector<Tensor> outputs; local 152 Status s = session->Run(inputs, output_names, target_nodes, &outputs); 158 ASSERT_EQ(1, outputs.size()); 161 auto mat = outputs[0].matrix<float>(); 162 ASSERT_TRUE(outputs[0].IsInitialized()); 179 // Apart from nodes with outputs, there are also no-output (control) nodes. 219 // In this graph, all outputs are on the first slot 259 // Completed nodes with and without outputs 306 std::vector<Tensor> outputs; local 595 std::vector<Tensor> outputs; local 833 std::vector<Tensor> outputs; local 993 std::vector<Tensor> outputs; local [all...] |
/external/tensorflow/tensorflow/python/layers/ |
H A D | network_test.py | 354 outputs = network(x2) 356 self.assertEqual(type(outputs), list) 357 self.assertEqual(len(outputs), 2) 358 self.assertEqual(outputs[0].get_shape().as_list(), [None, 2]) 359 self.assertEqual(outputs[1].get_shape().as_list(), [None, 3]) 375 outputs = network([a2, b2]) 377 self.assertEqual(type(outputs), list) 378 self.assertEqual(len(outputs), 2) 379 self.assertEqual(outputs[0].get_shape().as_list(), [None, 2]) 380 self.assertEqual(outputs[ 627 outputs = network([a_val, b_val]) variable in class:DeferredModeTest.testMultiIONetworkbuilding.AddLayer [all...] |
/external/python/cpython2/Lib/distutils/command/ |
H A D | install.py | 582 outputs = self.get_outputs() 585 for counter in xrange(len(outputs)): 586 outputs[counter] = outputs[counter][root_len:] 588 (self.record, outputs), 619 # Assemble the outputs of all the sub-commands. 620 outputs = [] 624 # that outputs doesn't contain duplicate entries 626 if filename not in outputs: 627 outputs [all...] |
/external/python/cpython3/Lib/distutils/command/ |
H A D | install.py | 564 outputs = self.get_outputs() 567 for counter in range(len(outputs)): 568 outputs[counter] = outputs[counter][root_len:] 570 (self.record, outputs), 600 """Assembles the outputs of all the sub-commands.""" 601 outputs = [] 605 # that outputs doesn't contain duplicate entries 607 if filename not in outputs: 608 outputs [all...] |
/external/tensorflow/tensorflow/contrib/pi_examples/label_image/ |
H A D | label_image.cc | 230 Status GetTopLabels(const std::vector<Tensor>& outputs, int how_many_labels, argument 232 const Tensor& unsorted_scores_tensor = outputs[0]; 257 Status PrintTopLabels(const std::vector<Tensor>& outputs, argument 270 TF_RETURN_IF_ERROR(GetTopLabels(outputs, how_many_labels, &indices, &scores)); 283 Status CheckTopLabel(const std::vector<Tensor>& outputs, int expected, argument 289 TF_RETURN_IF_ERROR(GetTopLabels(outputs, how_many_labels, &indices, &scores)); 375 std::vector<Tensor> outputs; local 377 {output_layer}, {}, &outputs); 390 Status check_status = CheckTopLabel(outputs, 866, &expected_matches); 402 Status print_status = PrintTopLabels(outputs, label [all...] |