| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| conv_quant8_large.mod.py | 24 output = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 2, 3, 3}, 1.0, 0") variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
33 output0 = {output: # output 0
|
| conv_quant8_large_weights_as_inputs.mod.py | 24 output = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 2, 3, 3}, 1.0, 0") variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
39 output0 = {output: # output 0
|
| conv_quant8_overflow.mod.py | 24 output = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 2, 3, 3}, 1.0, 0") variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
33 output0 = {output: # output 0
|
| conv_quant8_overflow_weights_as_inputs.mod.py | 24 output = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 2, 3, 3}, 1.0, 0") variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
39 output0 = {output: # output 0
|
| conv_quant8_weights_as_inputs.mod.py | 24 # output dimension:
26 output = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 1.f, 0") variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
38 output0 = {output: # output 0
|
| local_response_norm_float_1.mod.py | 7 output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 6}") variable
9 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
15 output0 = {output: # output 0
|
| local_response_norm_float_2.mod.py | 7 output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 6}") variable
9 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
15 output0 = {output: # output 0
|
| local_response_norm_float_3.mod.py | 7 output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 6}") variable
9 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
15 output0 = {output: # output 0
|
| local_response_norm_float_4.mod.py | 7 output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 6}") variable
9 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
15 output0 = {output: # output 0
|
| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| conv_float_2_relaxed.mod.py | 24 output = Output("op4", "TENSOR_FLOAT32", "{1, 3, 4, 1}") variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad_same, stride, stride, act_relu).To(output)
33 output0 = {output: # output 0
|
| conv_float_channels_relaxed.mod.py | 24 # output dimension:
26 output = Output("op4", "TENSOR_FLOAT32", "{1, 1, 1, 3}") variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
35 output0 = {output: # output 0
|
| conv_float_channels_weights_as_inputs_relaxed.mod.py | 24 # output dimension:
26 output = Output("op4", "TENSOR_FLOAT32", "{1, 1, 1, 3}") variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
41 output0 = {output: # output 0
|
| conv_float_large_relaxed.mod.py | 24 # output dimension:
26 output = Output("op4", "TENSOR_FLOAT32", "{1, 2, 3, 3}") variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
36 output0 = {output: # output 0
|
| conv_float_large_weights_as_inputs_relaxed.mod.py | 24 # output dimension:
26 output = Output("op4", "TENSOR_FLOAT32", "{1, 2, 3, 3}") variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
42 output0 = {output: # output 0
|
| conv_float_relaxed.mod.py | 24 # output dimension:
26 output = Output("op4", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
35 output0 = {output: # output 0
|
| conv_float_weights_as_inputs_relaxed.mod.py | 24 # output dimension:
26 output = Output("op4", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
39 output0 = {output: # output 0
|
| local_response_norm_float_1_relaxed.mod.py | 23 output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 6}") variable
25 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
32 output0 = {output: # output 0
|
| local_response_norm_float_2_relaxed.mod.py | 23 output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 6}") variable
25 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
32 output0 = {output: # output 0
|
| local_response_norm_float_3_relaxed.mod.py | 23 output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 6}") variable
25 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
32 output0 = {output: # output 0
|
| local_response_norm_float_4_relaxed.mod.py | 23 output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 6}") variable
25 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
32 output0 = {output: # output 0
|
| /frameworks/native/services/surfaceflinger/ |
| SurfaceTracing.cpp | 74 std::string output; local
75 if (!mTrace.SerializeToString(&output)) {
78 if (!android::base::WriteStringToFile(output, mOutputFileName, true)) {
|
| /frameworks/rs/rsov/compiler/spirit/ |
| transformer.cpp | 54 auto output = mStream->getWords(); local
56 output.insert(output.end(), functions.begin(), functions.end());
62 return output;
|
| /frameworks/rs/tests/lldb/cpp/BranchingFunCalls/ |
| BranchingFunCalls.cpp | 49 int32_t * output = new int32_t[size*size]; local
50 b->copy2DRangeTo(0, 0, size, size, output);
51 delete [] output;
|
| /frameworks/rs/tests/lldb/cpp/InfiniteLoop/ |
| InfiniteLoop.cpp | 51 uint32_t * output = new uint32_t[size*size]; local
52 b->copy2DRangeTo(0, 0, size, size, output);
53 delete [] output;
|
| /frameworks/rs/tests/lldb/cpp/MultipleRSFiles/ |
| MultipleRSFiles.cpp | 43 uint32_t * output = new uint32_t[size*size]; local
44 b->copy2DRangeTo(0, 0, size, size, output);
45 delete [] output;
|
