| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| index_ops_kernel_argmax_float_1d.cc | 31 float* input = static_cast<float*>(data[0]); local
35 TTypes<float, 1>::ConstTensor in_eig(input, in_eig_sizes);
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| /external/tensorflow/tensorflow/compiler/xla/tests/ |
| log_test.cc | 41 std::vector<float> input = {-0.0, 1.0, 2.0, -3.0, -4.0, local
45 auto x = builder.ConstantR1<float>(input);
49 expected.reserve(input.size());
50 for (float f : input) {
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| /external/tensorflow/tensorflow/core/framework/ |
| memory_types_test.cc | 35 .Input("a: float")
36 .Input("b: T")
37 .Input("c: N * string")
38 .Input("d: Tlist")
39 .Input("e: Rlist")
58 .Input(FakeInput())
59 .Input(FakeInput(DT_BOOL))
60 .Input(FakeInput(3))
61 .Input(FakeInput({DT_INT32, DT_FLOAT, DT_INT32}))
62 .Input(FakeInput({DT_RESOURCE, DT_STRING, DT_RESOURCE})
64 MemoryTypeVector input, output; local
[all...] |
| /external/tensorflow/tensorflow/core/kernels/fuzzing/ |
| string_split_fuzz.cc | 24 auto input = variable
29 input, delimeter);
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| /external/tensorflow/tensorflow/examples/adding_an_op/ |
| cuda_op_kernel.cc | 22 .Input("input: int32")
28 output = input + 1
38 // Grab the input tensor
39 const Tensor& input_tensor = context->input(0);
40 auto input = input_tensor.flat<int32>(); variable
49 const int N = input.size();
51 AddOneKernelLauncher(input.data(), N, output.data());
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| zero_out_op_kernel_1.cc | 23 .Input("to_zero: int32")
26 c->set_output(0, c->input(0));
41 // Grab the input tensor
42 const Tensor& input_tensor = context->input(0);
43 auto input = input_tensor.flat<int32>(); variable
52 const int N = input.size();
57 // Preserve the first input value.
58 if (N > 0) output(0) = input(0);
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| /external/tensorflow/tensorflow/tools/ci_build/builds/user_ops/ |
| cuda_op_kernel.cc | 22 .Input("input: int32")
28 output = input + 1
38 // Grab the input tensor
39 const Tensor& input_tensor = context->input(0);
40 auto input = input_tensor.flat<int32>(); variable
49 const int N = input.size();
51 AddOneKernelLauncher(input.data(), N, output.data());
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| zero_out_op_kernel_1.cc | 23 .Input("to_zero: int32")
26 c->set_output(0, c->input(0));
41 // Grab the input tensor
42 const Tensor& input_tensor = context->input(0);
43 auto input = input_tensor.flat<int32>(); variable
52 const int N = input.size();
57 // Preserve the first input value.
58 if (N > 0) output(0) = input(0);
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| /external/valgrind/memcheck/tests/s390x/ |
| cu21.c | 8 /* Define various input buffers. */
91 uint8_t *input = malloc(10); local
93 /* Input buffer is completely uninitialised */
94 do_cu21(malloc(4), 4, (void *)input, 2); // complaint
96 /* Read 2 bytes from input buffer. First byte is uninitialised */
97 input = malloc(10);
98 input[1] = 0x0;
99 do_cu21(malloc(4), 4, (void *)input, 2); // complaint
101 /* Read 2 bytes from input buffer. Second byte is uninitialised */
102 input = malloc(10)
[all...] |
| cu42.c | 8 /* Define various input buffers. */
68 uint8_t *input; local
70 /* Input buffer is completely uninitialised */
71 input = malloc(10);
72 do_cu42(buf, sizeof buf, (void *)input, 4); // complaint
74 /* Read 4 bytes from input buffer. First byte is uninitialised */
75 input = malloc(10);
76 input[1] = input[2] = input[3] = 0x0
[all...] |
| /external/webrtc/webrtc/base/ |
| md5digest_unittest.cc | 17 std::string Md5(const std::string& input) {
19 return ComputeDigest(&md5, input);
40 std::string input = "abcdefghijklmnopqrstuvwxyz"; local
42 for (size_t i = 0; i < input.size(); ++i) {
43 md5.Update(&input[i], 1);
52 std::string input = "message digest"; local
53 EXPECT_EQ("f96b697d7cb7938d525a2f31aaf161d0", ComputeDigest(&md5, input));
54 input = "abcdefghijklmnopqrstuvwxyz";
55 EXPECT_EQ("c3fcd3d76192e4007dfb496cca67e13b", ComputeDigest(&md5, input));
60 std::string input = "abcdefghijklmnopqrstuvwxyz" local
75 EXPECT_EQ(static_cast<char>(i), input[i]); local
[all...] |
| sha1digest_unittest.cc | 17 std::string Sha1(const std::string& input) {
19 return ComputeDigest(&sha1, input);
40 std::string input = local
43 for (size_t i = 0; i < input.size(); ++i) {
44 sha1.Update(&input[i], 1);
53 std::string input = "abc"; local
55 ComputeDigest(&sha1, input));
56 input = "abcdbcdecdefdefgefghfghighijhijkijkljklmklmnlmnomnopnopq";
58 ComputeDigest(&sha1, input));
63 std::string input = "abcdefghijklmnopqrstuvwxyz" local
78 EXPECT_EQ(static_cast<char>(i), input[i]); local
[all...] |
| /frameworks/ml/nn/runtime/test/generated/models/ |
| batch_to_space.model.cpp | 7 auto input = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output});
16 {input},
|
| batch_to_space_float_1.model.cpp | 7 auto input = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output});
16 {input},
|
| batch_to_space_float_1_relaxed.model.cpp | 7 auto input = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output});
16 {input},
|
| batch_to_space_quant8_1.model.cpp | 7 auto input = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output});
16 {input},
|
| batch_to_space_relaxed.model.cpp | 7 auto input = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output});
16 {input},
|
| depth_to_space_float_1.model.cpp | 7 auto input = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output});
16 {input},
|
| depth_to_space_float_1_relaxed.model.cpp | 7 auto input = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output});
16 {input},
|
| depth_to_space_float_2.model.cpp | 7 auto input = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output});
16 {input},
|
| depth_to_space_float_2_relaxed.model.cpp | 7 auto input = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output});
16 {input},
|
| depth_to_space_float_3.model.cpp | 7 auto input = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output});
16 {input},
|
| depth_to_space_float_3_relaxed.model.cpp | 7 auto input = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output});
16 {input},
|
| depth_to_space_quant8_1.model.cpp | 7 auto input = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, radius}, {output});
16 {input},
|
| depth_to_space_quant8_2.model.cpp | 7 auto input = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, radius}, {output});
16 {input},
|
