| /external/tensorflow/tensorflow/python/data/experimental/kernel_tests/serialization/ |
| cache_dataset_serialization_test.py | 63 outputs = self.gen_outputs(ds_fn, [], 5, verify_exhausted=False)
64 self.assertSequenceEqual(outputs, range(5))
68 outputs.extend(
74 self.assertSequenceEqual(outputs, self.expected_outputs())
84 outputs = self.gen_outputs(
86 self.assertSequenceEqual(outputs, range(8))
89 outputs = outputs[:5]
90 outputs.extend(
96 self.assertSequenceEqual(outputs, self.expected_outputs()
[all...] |
| /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
104 std::vector<Tensor> outputs; local
[all...] |
| /build/kati/testcase/ |
| multi_rule.mk | 10 outputs := foo.c macro
12 $(outputs): |
|
| /external/tensorflow/tensorflow/lite/toco/graph_transformations/ |
| drop_im2col_arrays.cc | 30 if (conv_op->outputs.size() < 2) {
36 CHECK_EQ(conv_op->outputs.size(), 2);
37 model->EraseArray(conv_op->outputs[1]);
38 conv_op->outputs.resize(1);
|
| convert_squeeze_to_reshape.cc | 43 CHECK_EQ(squeeze_op->outputs.size(), 1);
54 if (!model->HasArray(squeeze_op->outputs[0]) ||
55 !model->GetArray(squeeze_op->outputs[0]).has_shape()) {
61 const auto& output_shape = model->GetArray(squeeze_op->outputs[0]).shape();
71 CreateInt32Array(model, squeeze_op->outputs[0] + "_shape",
74 reshape_op->outputs = squeeze_op->outputs;
|
| identify_dilated_conv.cc | 65 CHECK_EQ(conv_op->outputs.size(), 1);
68 auto* post_conv_op = GetOpWithInput(*model, conv_op->outputs[0]);
78 CHECK_EQ(post_conv_op->outputs.size(), 1);
83 ? GetOpWithInput(*model, post_conv_op->outputs[0])
84 : GetOpWithInput(*model, conv_op->outputs[0]);
89 CHECK_EQ(pad_op->outputs.size(), 1);
95 ? GetOpWithInput(*model, pad_op->outputs[0])
97 ? GetOpWithInput(*model, post_conv_op->outputs[0])
98 : GetOpWithInput(*model, conv_op->outputs[0]);
103 auto final_op = GetOpWithInput(*model, next_op->outputs[0])
[all...] |
| unfuse_activation_functions.cc | 36 if ((op->type == OperatorType::kConv) && (op->outputs.size() == 2)) {
58 CHECK_EQ(op->outputs.size(), 1);
66 ac_op->outputs = op->outputs;
68 AvailableArrayName(*model, op->outputs[0] + "_unfused");
71 const auto& output_array = model->GetArray(op->outputs[0]);
79 op->outputs = {tmp_array_name};
|
| /external/tensorflow/tensorflow/python/ops/ |
| cudnn_rnn_grad.py | 35 output=op.outputs[0],
36 output_h=op.outputs[1],
37 output_c=op.outputs[2],
41 reserve_space=op.outputs[3],
60 output=op.outputs[0],
61 output_h=op.outputs[1],
62 output_c=op.outputs[2],
66 reserve_space=op.outputs[3],
67 host_reserved=op.outputs[4],
89 output=op.outputs[0]
[all...] |
| /external/tensorflow/tensorflow/python/keras/layers/ |
| tensorflow_op_layer_test.py | 40 outputs = gen_nn_ops.relu(x)
41 return inputs, outputs
47 outputs = array_ops.identity(x)
48 assert 'Identity' in outputs.name
49 return inputs, outputs
56 outputs = gen_nn_ops.relu(x)
57 return inputs, outputs
64 outputs = keras.layers.Dense(10)(x)
65 return inputs, outputs
73 outputs = keras.layers.Dense(10)(x
[all...] |
| /external/tensorflow/tensorflow/python/ops/parallel_for/ |
| test_util.py | 43 outputs = self._run_targets(targets1, targets2)
44 outputs = nest.flatten(outputs) # flatten SparseTensorValues
45 n = len(outputs) // 2
47 if outputs[i + n].dtype != np.object:
48 self.assertAllClose(outputs[i + n], outputs[i], rtol=1e-4, atol=1e-5)
50 self.assertAllEqual(outputs[i + n], outputs[i])
|
| /external/tensorflow/tensorflow/lite/tools/accuracy/ |
| eval_pipeline.cc | 31 std::vector<Tensor> outputs; local
34 &outputs));
35 TF_RETURN_IF_ERROR(eval_->ComputeEval(outputs, ground_truth));
|
| /external/mesa3d/src/gallium/drivers/r300/ |
| r300_vs.c | 109 struct r300_shader_semantics* outputs = &vs->outputs; local
112 boolean any_bcolor_used = outputs->bcolor[0] != ATTR_UNUSED ||
113 outputs->bcolor[1] != ATTR_UNUSED;
120 if (outputs->pos != ATTR_UNUSED) {
121 c->code->outputs[outputs->pos] = reg++;
127 if (outputs->psize != ATTR_UNUSED) {
128 c->code->outputs[outputs->psize] = reg++
[all...] |
| /external/tensorflow/tensorflow/contrib/specs/python/ |
| 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...] |
| /external/grpc-grpc/tools/distrib/ |
| generate_grpc_shadow_boringssl_symbol_list.sh | 31 outputs="$(nm -C $ssl_lib)"$'\n'"$(nm -C $crypto_lib)"
32 symbols=$(echo "$outputs" |
|
| /external/tensorflow/tensorflow/cc/tools/ |
| freeze_saved_model.h | 28 // `inputs` and `outputs` consist of the union of all inputs and outputs in the
31 // `outputs`. All variables in the supplied SavedModelBundle are converted to
39 std::unordered_set<string>* outputs);
|
| /external/tensorflow/tensorflow/java/src/test/java/org/tensorflow/ |
| SessionTest.java | 37 TestUtil.AutoCloseableList<Tensor<?>> outputs =
39 assertEquals(1, outputs.size());
41 assertArrayEquals(expected, outputs.get(0).copyTo(new int[1][1]));
54 TestUtil.AutoCloseableList<Tensor<?>> outputs =
56 assertEquals(1, outputs.size());
58 assertArrayEquals(expected, outputs.get(0).copyTo(new int[1][1]));
112 // Sanity check on outputs.
113 TestUtil.AutoCloseableList<Tensor<?>> outputs = new TestUtil.AutoCloseableList<Tensor<?>>(result.outputs); local
114 assertEquals(1, outputs.size())
136 TestUtil.AutoCloseableList<Tensor<?>> outputs = local
[all...] |
| /external/toybox/toys/posix/ |
| tee.c | 1 /* tee.c - cat to multiple outputs.
26 void *outputs;
41 temp->next = TT.outputs;
43 TT.outputs = temp;
64 fdl = TT.outputs;
|
| /external/tensorflow/tensorflow/contrib/rnn/python/ops/ |
| fused_rnn_cell.py | 105 outputs, state = rnn.dynamic_rnn(
114 # Convert outputs back to list
115 outputs = array_ops.unstack(outputs)
119 outputs, state = rnn.static_rnn(
127 # Convert outputs back to tensor
128 outputs = array_ops.stack(outputs)
130 return outputs, state
177 outputs, state = self._cell
[all...] |
| /external/tensorflow/tensorflow/cc/framework/ |
| gradients.h | 27 /// derivatives of some loss function 'L' w.r.t 'outputs'), adds gradient nodes
31 const std::vector<Output>& outputs,
37 // 'outputs' as grad_inputs.
39 const std::vector<Output>& outputs,
|
| 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/tensorflow/tensorflow/lite/experimental/examples/unity/TensorFlowLitePlugin/Assets/TensorFlowLite/Examples/HelloTFLite/Scripts/ |
| HelloTFLite.cs | 38 private float[] outputs; field in class:HelloTFLite
59 if (outputs == null || outputs.Length != inputs.Length) {
62 outputs = new float[inputs.Length];
68 interpreter.GetOutputTensorData(0, outputs);
75 ArrayToString(outputs));
|
| /external/tensorflow/tensorflow/lite/tools/accuracy/ilsvrc/ |
| inception_preprocessing_test.cc | 69 std::vector<Tensor> outputs; local
73 &outputs);
75 EXPECT_EQ(1, outputs.size());
76 EXPECT_EQ(DT_UINT8, outputs[0].dtype());
77 EXPECT_TRUE(outputs[0].shape().IsSameSize({1, 224, 224, 3}));
98 std::vector<Tensor> outputs; local
102 &outputs);
104 EXPECT_EQ(1, outputs.size());
105 EXPECT_EQ(DT_INT8, outputs[0].dtype());
106 EXPECT_TRUE(outputs[0].shape().IsSameSize({1, 224, 224, 3}))
127 std::vector<Tensor> outputs; local
[all...] |
| /external/tensorflow/tensorflow/cc/ops/ |
| while_loop.cc | 35 std::vector<OutputTensor> ToOutputTensors(const std::vector<Output>& outputs) {
36 std::vector<OutputTensor> result(outputs.size());
37 for (int i = 0; i < outputs.size(); ++i) {
38 result[i] = ToOutputTensor(outputs[i]);
44 std::vector<Node*> ToNodes(const std::vector<Output>& outputs) {
45 std::vector<Node*> result(outputs.size());
46 for (int i = 0; i < outputs.size(); ++i) {
47 result[i] = outputs[i].node();
119 // Create the body subgraph defined by `body`. `outputs` must be non-null and
123 std::vector<Output>* outputs) {
[all...] |
| /external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/ |
| candidate_graph_runner.cc | 72 std::vector<Tensor>* outputs) {
77 TF_CHECK_OK(session_->Run(inputs, output_tensor_names, op_name, outputs))
98 std::vector<Tensor> outputs; local
99 RunOp(kNoOp, TensorNameValueList(), {kSplitScoreName}, &outputs);
100 return outputs[0].unaligned_flat<float>()(0);
104 std::vector<Tensor> outputs; local
105 RunOp(kNoOp, TensorNameValueList(), {kGetSplitName}, &outputs);
106 ParseProtoUnlimited(node, outputs[0].unaligned_flat<string>()(0));
116 std::vector<Tensor> outputs; local
117 RunOp(kNoOp, TensorNameValueList(), {kGetLeftStatsName}, &outputs);
126 std::vector<Tensor> outputs; local
[all...] |
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| unicode_transcode_op_test.py | 39 outputs = string_ops.unicode_transcode(
46 values = self.evaluate(outputs)
49 outputs = string_ops.unicode_transcode(
56 values = self.evaluate(outputs)
59 outputs = string_ops.unicode_transcode(
66 values = self.evaluate(outputs)
74 outputs = string_ops.unicode_transcode(
81 values = self.evaluate(outputs)
87 outputs = string_ops.unicode_transcode(
94 values = self.evaluate(outputs)
[all...] |
