| /frameworks/ml/nn/runtime/test/generated/models/ |
| softmax_float_1.model.cpp | 8 auto output = model->addOperand(&type0); local
12 model->addOperation(ANEURALNETWORKS_SOFTMAX, {input, beta}, {output});
16 {output});
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| softmax_float_1_relaxed.model.cpp | 8 auto output = model->addOperand(&type0); local
12 model->addOperation(ANEURALNETWORKS_SOFTMAX, {input, beta}, {output});
16 {output});
|
| softmax_float_2.model.cpp | 8 auto output = model->addOperand(&type0); local
12 model->addOperation(ANEURALNETWORKS_SOFTMAX, {input, beta}, {output});
16 {output});
|
| softmax_float_2_relaxed.model.cpp | 8 auto output = model->addOperand(&type0); local
12 model->addOperation(ANEURALNETWORKS_SOFTMAX, {input, beta}, {output});
16 {output});
|
| softmax_quant8_1.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_SOFTMAX, {input, beta}, {output});
17 {output});
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| softmax_quant8_2.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_SOFTMAX, {input, beta}, {output});
17 {output});
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| space_to_depth_float_1.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output});
17 {output});
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| space_to_depth_float_1_relaxed.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output});
17 {output});
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| space_to_depth_float_2.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output});
17 {output});
|
| space_to_depth_float_2_relaxed.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output});
17 {output});
|
| space_to_depth_float_3.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output});
17 {output});
|
| space_to_depth_float_3_relaxed.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, block_size}, {output});
17 {output});
|
| space_to_depth_quant8_1.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, radius}, {output});
17 {output});
|
| space_to_depth_quant8_2.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {input, radius}, {output});
17 {output});
|
| squeeze.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_SQUEEZE, {input, squeezeDims}, {output});
17 {output});
|
| squeeze_float_1.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_SQUEEZE, {input, squeezeDims}, {output});
17 {output});
|
| squeeze_float_1_relaxed.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_SQUEEZE, {input, squeezeDims}, {output});
17 {output});
|
| squeeze_quant8_1.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_SQUEEZE, {input, squeezeDims}, {output});
17 {output});
|
| squeeze_relaxed.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_SQUEEZE, {input, squeezeDims}, {output});
17 {output});
|
| transpose.model.cpp | 8 auto output = model->addOperand(&type0); local
12 model->addOperation(ANEURALNETWORKS_TRANSPOSE, {input, perms}, {output});
16 {output});
|
| transpose_float_1.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_TRANSPOSE, {input, perms}, {output});
17 {output});
|
| transpose_float_1_relaxed.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_TRANSPOSE, {input, perms}, {output});
17 {output});
|
| transpose_quant8_1.model.cpp | 9 auto output = model->addOperand(&type2); local
13 model->addOperation(ANEURALNETWORKS_TRANSPOSE, {input, perms}, {output});
17 {output});
|
| transpose_relaxed.model.cpp | 8 auto output = model->addOperand(&type0); local
12 model->addOperation(ANEURALNETWORKS_TRANSPOSE, {input, perms}, {output});
16 {output});
|
| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| depth_to_space_float_1.mod.py | 4 output = Output("output", "TENSOR_FLOAT32", "{1, 2, 2, 2}") variable
6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output)
12 output0 = {output: # output 0
|
