/external/libvpx/libvpx/test/ |
D | svc_test.cc | 137 struct vpx_fixed_buf *const outputs, in StoreFrames() argument 153 outputs[*frame_received].buf = malloc(frame_size + 16); in StoreFrames() 154 ASSERT_TRUE(outputs[*frame_received].buf != NULL); in StoreFrames() 155 memcpy(outputs[*frame_received].buf, cx_pkt->data.frame.buf, in StoreFrames() 157 outputs[*frame_received].sz = frame_size; in StoreFrames() 165 struct vpx_fixed_buf *const outputs) { in Pass2EncodeNFrames() argument 169 ASSERT_TRUE(outputs != NULL); in Pass2EncodeNFrames() 191 StoreFrames(n, outputs, &frame_received); in Pass2EncodeNFrames() 199 StoreFrames(n, outputs, &frame_received); in Pass2EncodeNFrames() 450 vpx_fixed_buf outputs[3]; in TEST_F() local [all …]
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/external/tensorflow/tensorflow/cc/client/ |
D | client_session_test.cc | 38 std::vector<Tensor> outputs; in TEST() local 40 TF_EXPECT_OK(session.Run({c}, &outputs)); in TEST() 41 test::ExpectTensorEqual<int>(outputs[0], test::AsTensor<int>({1, 1}, {1, 2})); in TEST() 50 std::vector<Tensor> outputs; in TEST() local 52 TF_EXPECT_OK(session.Run({{a, 1}, {b, 41}}, {c}, &outputs)); in TEST() 53 test::ExpectTensorEqual<int>(outputs[0], test::AsTensor<int>({42}, {})); in TEST() 61 std::vector<Tensor> outputs; in TEST() local 63 TF_EXPECT_OK(session.Run({{a, {1, 1}}}, {c}, &outputs)); in TEST() 64 test::ExpectTensorEqual<int>(outputs[0], test::AsTensor<int>({3, 3}, {2})); in TEST() 67 outputs.clear(); in TEST() [all …]
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/external/tensorflow/tensorflow/contrib/specs/python/ |
D | specs_test.py | 44 outputs = specs.create_net(spec, inputs) 45 self.assertEqual(outputs.get_shape().as_list(), [1, 18, 19, 64]) 47 result = outputs.eval() 59 outputs = specs.create_net(spec, inputs) 60 self.assertEqual(outputs.get_shape().as_list(), [17, 55]) 62 result = outputs.eval() 69 outputs = specs.create_net(spec, inputs) 70 self.assertEqual(outputs.get_shape().as_list(), [17, 10]) 72 result = outputs.eval() 83 outputs = specs.create_net(spec, inputs) [all …]
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/external/mesa3d/src/gallium/drivers/r300/ |
D | r300_vs.c | 109 struct r300_shader_semantics* outputs = &vs->outputs; in set_vertex_inputs_outputs() local 112 boolean any_bcolor_used = outputs->bcolor[0] != ATTR_UNUSED || in set_vertex_inputs_outputs() 113 outputs->bcolor[1] != ATTR_UNUSED; in set_vertex_inputs_outputs() 120 if (outputs->pos != ATTR_UNUSED) { in set_vertex_inputs_outputs() 121 c->code->outputs[outputs->pos] = reg++; in set_vertex_inputs_outputs() 127 if (outputs->psize != ATTR_UNUSED) { in set_vertex_inputs_outputs() 128 c->code->outputs[outputs->psize] = reg++; in set_vertex_inputs_outputs() 140 if (outputs->color[i] != ATTR_UNUSED) { in set_vertex_inputs_outputs() 141 c->code->outputs[outputs->color[i]] = reg++; in set_vertex_inputs_outputs() 143 outputs->color[1] != ATTR_UNUSED) { in set_vertex_inputs_outputs() [all …]
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/external/tensorflow/tensorflow/contrib/lite/toco/graph_transformations/ |
D | unroll_batch_matmul.cc | 64 matmul_op->outputs = batch_op->outputs; in Run() 82 std::string(batch_op->outputs[0]) + "_b" + std::to_string(batch); in Run() 94 slice_a_op->outputs = {AvailableArrayName(*model, batch_name + "/slice_a")}; in Run() 95 auto& slice_a_op_output = model->GetOrCreateArray(slice_a_op->outputs[0]); in Run() 102 slice_a_op->outputs[0], in Run() 105 slice_a_reshape_op->outputs = { in Run() 108 model->GetOrCreateArray(slice_a_reshape_op->outputs[0]); in Run() 121 slice_b_op->outputs = {AvailableArrayName(*model, batch_name + "/slice_b")}; in Run() 122 auto& slice_b_op_output = model->GetOrCreateArray(slice_b_op->outputs[0]); in Run() 129 slice_b_op->outputs[0], in Run() [all …]
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D | identify_lstm.cc | 320 lstm_cell_op->outputs.resize(LstmCellOperator::NUM_OUTPUTS); in Run() 321 lstm_cell_op->outputs[LstmCellOperator::STATE_OUTPUT] = in Run() 323 lstm_cell_op->outputs[LstmCellOperator::ACTIV_OUTPUT] = in Run() 324 final_output_mul->outputs[0]; in Run() 331 lstm_cell_op->outputs[LstmCellOperator::STATE_OUTPUT], in Run() 332 lstm_cell_op->outputs[LstmCellOperator::ACTIV_OUTPUT])); in Run() 336 lstm_cell_op->outputs[LstmCellOperator::CONCAT_TEMP] = concat_temp_array_name; in Run() 340 lstm_cell_op->outputs[LstmCellOperator::ACTIV_TEMP] = activ_temp_array_name; in Run() 349 DeleteArrayIfUnused(state_output_tanh->outputs[0], model); in Run() 350 DeleteArrayIfUnused(fc_output_sig->outputs[0], model); in Run() [all …]
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/external/tensorflow/tensorflow/core/common_runtime/ |
D | direct_session_test.cc | 101 std::vector<Tensor> outputs; in TEST_F() local 102 Status s = session->Run(inputs, output_names, target_nodes, &outputs); in TEST_F() 105 ASSERT_EQ(1, outputs.size()); in TEST_F() 108 auto mat = outputs[0].matrix<float>(); in TEST_F() 109 ASSERT_TRUE(outputs[0].IsInitialized()); in TEST_F() 128 std::vector<Tensor> outputs; in TEST_F() local 131 Status s = session->Run(inputs, output_names, {}, &outputs); in TEST_F() 134 ASSERT_EQ(1, outputs.size()); in TEST_F() 135 auto mat = outputs[0].matrix<float>(); in TEST_F() 156 std::vector<Tensor> outputs; in TEST_F() local [all …]
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D | graph_runner_test.cc | 50 std::vector<Tensor> outputs; in TEST() local 51 Status s = graph_runner.Run(root.graph(), nullptr, {}, {c.name()}, &outputs); in TEST() 53 ExpectEqual(42.0f, outputs[0].scalar<float>()()); in TEST() 73 std::vector<Tensor> outputs; in TEST() local 77 graph_runner.Run(root.graph(), nullptr, inputs, {"add:0"}, &outputs); in TEST() 80 ExpectEqual(3.0f, outputs[0].scalar<float>()()); in TEST() 88 std::vector<Tensor> outputs; in TEST() local 90 &outputs); in TEST() 92 ExpectEqual(42.0f, outputs[0].scalar<float>()()); in TEST() 93 ExpectEqual(3.14f, outputs[1].scalar<float>()()); in TEST() [all …]
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/external/tensorflow/tensorflow/contrib/seq2seq/python/ops/ |
D | helper.py | 97 def sample(self, time, outputs, state, name=None): argument 102 def next_inputs(self, time, outputs, state, sample_ids, name=None): argument 154 def sample(self, time, outputs, state, name=None): argument 156 name, "%sSample" % type(self).__name__, (time, outputs, state)): 157 return self._sample_fn(time=time, outputs=outputs, state=state) 159 def next_inputs(self, time, outputs, state, sample_ids, name=None): argument 161 name, "%sNextInputs" % type(self).__name__, (time, outputs, state)): 163 time=time, outputs=outputs, state=state, sample_ids=sample_ids) 233 def sample(self, time, outputs, name=None, **unused_kwargs): argument 234 with ops.name_scope(name, "TrainingHelperSample", [time, outputs]): [all …]
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/external/tensorflow/tensorflow/python/saved_model/ |
D | signature_def_utils_impl.py | 33 def build_signature_def(inputs=None, outputs=None, method_name=None): argument 50 if outputs is not None: 51 for item in outputs: 52 signature_def.outputs[item].CopyFrom(outputs[item]) 154 def predict_signature_def(inputs, outputs): argument 173 if outputs is None or not outputs: 179 for key, tensor in outputs.items()} 204 if not signature_def.outputs.keys(): 221 if (set(signature_def.outputs.keys()) 224 if (signature_def.outputs[signature_constants.REGRESS_OUTPUTS].dtype != [all …]
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D | signature_def_utils_test.py | 46 def _make_signature(inputs, outputs, name=None): argument 53 for output_name, tensor in outputs.items() 69 outputs = dict() 70 outputs["foo-output"] = y_tensor_info 73 inputs, outputs, "foo-method-name") 85 self.assertEqual(1, len(signature_def.outputs)) 86 y_tensor_info_actual = signature_def.outputs["foo-output"] 109 self.assertEqual(1, len(signature_def.outputs)) 111 signature_def.outputs[signature_constants.REGRESS_OUTPUTS]) 135 self.assertEqual(2, len(signature_def.outputs)) [all …]
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/external/tensorflow/tensorflow/cc/ops/ |
D | while_loop.cc | 35 std::vector<OutputTensor> ToOutputTensors(const std::vector<Output>& outputs) { in ToOutputTensors() argument 36 std::vector<OutputTensor> result(outputs.size()); in ToOutputTensors() 37 for (int i = 0; i < outputs.size(); ++i) { in ToOutputTensors() 38 result[i] = ToOutputTensor(outputs[i]); in ToOutputTensors() 44 std::vector<Node*> ToNodes(const std::vector<Output>& outputs) { in ToNodes() argument 45 std::vector<Node*> result(outputs.size()); in ToNodes() 46 for (int i = 0; i < outputs.size(); ++i) { in ToNodes() 47 result[i] = outputs[i].node(); in ToNodes() 123 std::vector<Output>* outputs) { in CreateBody() argument 124 DCHECK(outputs != nullptr); in CreateBody() [all …]
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/external/tensorflow/tensorflow/core/framework/ |
D | variant_op_copy_test.cc | 183 std::vector<Tensor> outputs; in TEST() local 184 TF_CHECK_OK(session.Run({create_const}, &outputs)); in TEST() 185 EXPECT_EQ(1, outputs.size()); in TEST() 186 EXPECT_EQ(DT_VARIANT, outputs[0].dtype()); in TEST() 187 EXPECT_EQ(0, outputs[0].dims()); in TEST() 188 const Variant& variant = outputs[0].scalar<Variant>()(); in TEST() 217 std::vector<Tensor> outputs; in TEST() local 221 TF_CHECK_OK(session.Run({create_const}, &outputs)); in TEST() 228 EXPECT_EQ(1, outputs.size()); in TEST() 229 EXPECT_EQ(DT_VARIANT, outputs[0].dtype()); in TEST() [all …]
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/external/tensorflow/tensorflow/contrib/tpu/python/tpu/ |
D | training_loop.py | 120 outputs = body(*(inputs + dequeue_ops)) 123 if not isinstance(outputs, (list, tuple)): 124 outputs = (outputs,) 126 outputs = [ 128 for o in outputs 132 output_operations = [o for o in outputs if isinstance(o, ops.Operation)] 133 output_tensors = [o for o in outputs 136 if outputs != output_tensors + output_operations: 206 outputs = while_loop( 208 outputs = _convert_to_list(outputs) [all …]
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/external/tensorflow/tensorflow/contrib/kfac/python/kernel_tests/ |
D | fisher_blocks_test.py | 251 self.outputs = np.zeros([self.batch_size, self.output_size]).astype( 294 result, _ = self.runFisherBlockOps(self.w, [self.inputs], [self.outputs], 305 _, result = self.runFisherBlockOps(self.w, [self.inputs], [self.outputs], 318 self.w, [self.inputs], [self.outputs], [self.output_grads]) 321 np.split(self.outputs, 2), 330 [self.outputs], [self.output_grads]) 341 def runFisherBlockOps(self, params, inputs, outputs, output_grads): argument 360 outputs = as_tensors(outputs) 366 for (i, o) in zip(inputs, outputs): 391 outputs = array_ops.constant([[0.], [1.], [2.]]) [all …]
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/external/tensorflow/tensorflow/core/graph/ |
D | quantize_training_test.cc | 404 std::vector<Tensor> outputs; in TEST_F() local 405 TF_ASSERT_OK(sess->Run({}, {min_const_name, max_const_name}, {}, &outputs)); in TEST_F() 406 EXPECT_EQ(outputs[0].flat<float>()(0), 0.0); in TEST_F() 407 EXPECT_EQ(outputs[1].flat<float>()(0), 6.0); in TEST_F() 414 TF_ASSERT_OK(sess->Run({{"a", a1}}, {m1->name()}, {}, &outputs)); in TEST_F() 420 TF_ASSERT_OK(sess->Run({}, {min_var_name, max_var_name}, {}, &outputs)); in TEST_F() 421 EXPECT_EQ(outputs[0].flat<float>()(0), 0.0); in TEST_F() 422 EXPECT_EQ(outputs[1].flat<float>()(0), 3.0); in TEST_F() 425 TF_ASSERT_OK(sess->Run({}, {min_const_name, max_const_name}, {}, &outputs)); in TEST_F() 426 EXPECT_EQ(outputs[0].flat<float>()(0), 0.0); in TEST_F() [all …]
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/external/tensorflow/tensorflow/java/src/test/java/org/tensorflow/ |
D | SessionTest.java | 39 AutoCloseableList<Tensor<?>> outputs = in runUsingOperationNames() argument 41 assertEquals(1, outputs.size()); in runUsingOperationNames() 43 assertArrayEquals(expected, outputs.get(0).copyTo(new int[1][1])); in runUsingOperationNames() 56 AutoCloseableList<Tensor<?>> outputs = in runUsingOperationHandles() argument 58 assertEquals(1, outputs.size()); in runUsingOperationHandles() 60 assertArrayEquals(expected, outputs.get(0).copyTo(new int[1][1])); in runUsingOperationHandles() 115 AutoCloseableList<Tensor<?>> outputs = new AutoCloseableList<Tensor<?>>(result.outputs); in runWithMetadata() local 116 assertEquals(1, outputs.size()); in runWithMetadata() 118 assertArrayEquals(expected, outputs.get(0).copyTo(new int[1][1])); in runWithMetadata() 127 outputs.close(); in runWithMetadata() [all …]
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/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/ |
D | candidate_graph_runner.cc | 72 std::vector<Tensor>* outputs) { in RunOp() argument 77 TF_CHECK_OK(session_->Run(inputs, output_tensor_names, op_name, outputs)) in RunOp() 98 std::vector<Tensor> outputs; in SplitScore() local 99 RunOp(kNoOp, TensorNameValueList(), {kSplitScoreName}, &outputs); in SplitScore() 100 return outputs[0].unaligned_flat<float>()(0); in SplitScore() 104 std::vector<Tensor> outputs; in GetSplit() local 105 RunOp(kNoOp, TensorNameValueList(), {kGetSplitName}, &outputs); in GetSplit() 106 ParseProtoUnlimited(node, outputs[0].unaligned_flat<string>()(0)); in GetSplit() 116 std::vector<Tensor> outputs; in GetLeftStats() local 117 RunOp(kNoOp, TensorNameValueList(), {kGetLeftStatsName}, &outputs); in GetLeftStats() [all …]
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/external/tensorflow/tensorflow/contrib/rnn/python/ops/ |
D | fused_rnn_cell.py | 104 outputs, state = rnn.dynamic_rnn( 114 outputs = array_ops.unstack(outputs) 118 outputs, state = rnn.static_rnn( 127 outputs = array_ops.stack(outputs) 129 return outputs, state 176 outputs, state = self._cell( 182 outputs = self._reverse(outputs, sequence_length) 183 return outputs, state
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/external/tensorflow/tensorflow/contrib/layers/python/layers/ |
D | layers.py | 122 outputs = layer.apply(inputs) 123 return utils.collect_named_outputs(outputs_collections, sc, outputs) 171 outputs = layer.apply(inputs) 172 return utils.collect_named_outputs(outputs_collections, sc, outputs) 382 outputs, mean, variance = utils.smart_cond( 392 no_updates = lambda: outputs 402 return array_ops.identity(outputs) 404 outputs = utils.smart_cond(is_training, _force_updates, no_updates) 421 outputs.set_shape(inputs_shape) 423 outputs = array_ops.reshape(outputs, array_ops.shape(original_inputs)) [all …]
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/external/tensorflow/tensorflow/contrib/session_bundle/ |
D | bundle_shim_test.py | 57 self.assertEqual(len(signature_def.outputs), 0) 67 self.assertEqual(len(signature_def.outputs), 0) 76 self.assertEqual(len(signature_def.outputs), 0) 86 self.assertEqual(len(signature_def.outputs), 0) 103 self.assertEqual(len(signature_def.outputs), 1) 106 signature_def.outputs["foo-key"], 113 self.assertEqual(len(signature_def.outputs), 1) 116 signature_def.outputs["foo-key"], 122 self.assertEqual(len(signature_def.outputs), 2) 125 signature_def.outputs["bar-key"], [all …]
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/external/tensorflow/tensorflow/cc/tools/ |
D | freeze_saved_model_test.cc | 39 const std::unordered_set<string>& outputs) { in BuildSignatureDef() argument 44 for (const string& output : outputs) { in BuildSignatureDef() 67 std::vector<Tensor> outputs; in InitializeSavedModelBundleSession() local 69 /* inputs */ {}, /* output_tensors */ {}, {init_node}, &outputs); in InitializeSavedModelBundleSession() 88 const GraphDef& graph_def, const std::unordered_set<string>& outputs, in AddGraphDefWithOutputsToSavedModelBundle() argument 91 BuildSignatureDef(std::unordered_set<string>(), outputs); in AddGraphDefWithOutputsToSavedModelBundle() 130 std::unordered_set<string> outputs; in TEST_F() local 132 &outputs)); in TEST_F() 134 EXPECT_EQ(expected_outputs, outputs); in TEST_F() 149 std::unordered_set<string> outputs; in TEST_F() local [all …]
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/external/tensorflow/tensorflow/core/util/ctc/ |
D | ctc_beam_search_test.cc | 159 std::vector<CTCDecoder::Output> outputs(top_paths); in TEST() local 160 for (CTCDecoder::Output& output : outputs) { in TEST() 166 EXPECT_TRUE(decoder.Decode(seq_len, inputs, &outputs, &scores).ok()); in TEST() 168 EXPECT_EQ(outputs[path][0], expected_output[0][path]); in TEST() 209 std::vector<CTCDecoder::Output> outputs(top_paths); in TEST() local 210 for (CTCDecoder::Output& output : outputs) { in TEST() 216 EXPECT_TRUE(decoder.Decode(seq_len, inputs, &outputs, &scores).ok()); in TEST() 304 std::vector<CTCDecoder::Output> outputs(top_paths); in TEST() local 305 for (CTCDecoder::Output& output : outputs) { in TEST() 311 EXPECT_TRUE(decoder.Decode(seq_len, inputs, &outputs, &scores).ok()); in TEST() [all …]
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/external/tensorflow/tensorflow/core/kernels/ |
D | immutable_constant_op_test.cc | 108 std::vector<Tensor> outputs; in TEST() local 109 TF_ASSERT_OK(session->Run({}, {result.node()->name() + ":0"}, {}, &outputs)); in TEST() 110 ASSERT_EQ(outputs.size(), 1); in TEST() 111 EXPECT_EQ(outputs.front().flat<float>()(0), 2.0f * 3.0f); in TEST() 112 EXPECT_EQ(outputs.front().flat<float>()(1), 2.0f * 3.0f); in TEST() 113 EXPECT_EQ(outputs.front().flat<float>()(2), 2.0f * 3.0f); in TEST() 114 EXPECT_EQ(outputs.front().flat<float>()(kTestTensorSize - 1), 2.0f * 3.0f); in TEST() 137 std::vector<Tensor> outputs; in TEST() local 140 session->Run({}, {result.node()->name() + ":0"}, {}, &outputs).code(), in TEST() 180 std::vector<Tensor> outputs; in TEST() local [all …]
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/external/scapy/doc/notebooks/tls/ |
D | notebook1_x509.ipynb | 23 "outputs": [], 35 "outputs": [], 48 "outputs": [], 69 "outputs": [], 81 "outputs": [], 94 "outputs": [], 106 "outputs": [], 119 "outputs": [], 132 "outputs": [], 155 "outputs": [], [all …]
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