| /external/tensorflow/tensorflow/core/framework/ |
| memory_types_test.cc | 40 .Output("o: N * T")
41 .Output("p: Tlist")
64 MemoryTypeVector input, output; local
67 &input, &output));
78 output);
81 &input, &output));
89 output);
|
| /external/tensorflow/tensorflow/examples/adding_an_op/ |
| cuda_op_kernel.cc | 23 .Output("output: int32")
27 output: A Tensor.
28 output = input + 1
42 // Create an output tensor
46 auto output = output_tensor->template flat<int32>(); variable
48 // Set all but the first element of the output tensor to 0.
51 AddOneKernelLauncher(input.data(), N, output.data());
|
| zero_out_op_kernel_1.cc | 24 .Output("zeroed: int32")
45 // Create an output tensor
49 auto output = output_tensor->template flat<int32>(); variable
51 // Set all but the first element of the output tensor to 0.
54 output(i) = 0;
58 if (N > 0) output(0) = input(0);
|
| /external/tensorflow/tensorflow/tools/ci_build/builds/user_ops/ |
| cuda_op_kernel.cc | 23 .Output("output: int32")
27 output: A Tensor.
28 output = input + 1
42 // Create an output tensor
46 auto output = output_tensor->template flat<int32>(); variable
48 // Set all but the first element of the output tensor to 0.
51 AddOneKernelLauncher(input.data(), N, output.data());
|
| zero_out_op_kernel_1.cc | 24 .Output("zeroed: int32")
45 // Create an output tensor
49 auto output = output_tensor->template flat<int32>(); variable
51 // Set all but the first element of the output tensor to 0.
54 output(i) = 0;
58 if (N > 0) output(0) = input(0);
|
| /external/webrtc/webrtc/base/ |
| md5digest_unittest.cc | 41 char output[Md5Digest::kSize]; local
45 EXPECT_EQ(md5.Size(), md5.Finish(output, sizeof(output)));
47 hex_encode(output, sizeof(output)));
61 char output[Md5Digest::kSize - 1]; local
63 EXPECT_EQ(0U, md5.Finish(output, sizeof(output)));
|
| sha1digest_unittest.cc | 42 char output[Sha1Digest::kSize]; local
46 EXPECT_EQ(sha1.Size(), sha1.Finish(output, sizeof(output)));
48 hex_encode(output, sizeof(output)));
64 char output[Sha1Digest::kSize - 1]; local
66 EXPECT_EQ(0U, sha1.Finish(output, sizeof(output)));
|
| /external/webrtc/webrtc/test/fuzzers/ |
| audio_decoder_ilbc_fuzzer.cc | 19 int16_t output[kAllocatedOuputSizeSamples]; local
20 FuzzAudioDecoder(data, size, &dec, kSampleRateHz, sizeof(output), output);
|
| audio_decoder_opus_fuzzer.cc | 20 int16_t output[kAllocatedOuputSizeSamples]; local
21 FuzzAudioDecoder(data, size, &dec, kSampleRateHz, sizeof(output), output);
|
| /frameworks/base/tests/Camera2Tests/SmartCamera/SimpleCamera/jni/ |
| exposure.cpp | 36 int output = 0; local
44 output++;
47 return (static_cast<float>(output)) / numPixels;
58 int output = 0; local
66 output++;
69 return (static_cast<float>(output)) / numPixels;
|
| /frameworks/ml/nn/runtime/test/generated/models/ |
| batch_to_space.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output});
17 {output});
|
| batch_to_space_float_1.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output});
17 {output});
|
| batch_to_space_float_1_relaxed.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output});
17 {output});
|
| batch_to_space_quant8_1.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output});
17 {output});
|
| batch_to_space_relaxed.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output});
17 {output});
|
| depth_to_space_float_1.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output});
17 {output});
|
| depth_to_space_float_1_relaxed.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output});
17 {output});
|
| depth_to_space_float_2.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output});
17 {output});
|
| depth_to_space_float_2_relaxed.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output});
17 {output});
|
| depth_to_space_float_3.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output});
17 {output});
|
| depth_to_space_float_3_relaxed.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, block_size}, {output});
17 {output});
|
| depth_to_space_quant8_1.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, radius}, {output});
17 {output});
|
| depth_to_space_quant8_2.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, radius}, {output});
17 {output});
|
| embedding_lookup.model.cpp | 8 auto output = model->addOperand(&type1); local
10 model->addOperation(ANEURALNETWORKS_EMBEDDING_LOOKUP, {index, value}, {output});
14 {output});
|
| embedding_lookup_relaxed.model.cpp | 8 auto output = model->addOperand(&type1); local
10 model->addOperation(ANEURALNETWORKS_EMBEDDING_LOOKUP, {index, value}, {output});
14 {output});
|
