/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});
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softmax_float_2.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_2_relaxed.model.cpp | 8 auto output = model->addOperand(&type0); local 12 model->addOperation(ANEURALNETWORKS_SOFTMAX, {input, beta}, {output}); 16 {output});
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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});
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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});
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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});
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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});
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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});
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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});
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squeeze.model.cpp | 9 auto output = model->addOperand(&type2); local 13 model->addOperation(ANEURALNETWORKS_SQUEEZE, {input, squeezeDims}, {output}); 17 {output});
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squeeze_float_1.model.cpp | 9 auto output = model->addOperand(&type2); local 13 model->addOperation(ANEURALNETWORKS_SQUEEZE, {input, squeezeDims}, {output}); 17 {output});
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squeeze_float_1_relaxed.model.cpp | 9 auto output = model->addOperand(&type2); local 13 model->addOperation(ANEURALNETWORKS_SQUEEZE, {input, squeezeDims}, {output}); 17 {output});
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squeeze_quant8_1.model.cpp | 9 auto output = model->addOperand(&type2); local 13 model->addOperation(ANEURALNETWORKS_SQUEEZE, {input, squeezeDims}, {output}); 17 {output});
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squeeze_relaxed.model.cpp | 9 auto output = model->addOperand(&type2); local 13 model->addOperation(ANEURALNETWORKS_SQUEEZE, {input, squeezeDims}, {output}); 17 {output});
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transpose.model.cpp | 8 auto output = model->addOperand(&type0); local 12 model->addOperation(ANEURALNETWORKS_TRANSPOSE, {input, perms}, {output}); 16 {output});
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transpose_float_1.model.cpp | 9 auto output = model->addOperand(&type2); local 13 model->addOperation(ANEURALNETWORKS_TRANSPOSE, {input, perms}, {output}); 17 {output});
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transpose_float_1_relaxed.model.cpp | 9 auto output = model->addOperand(&type2); local 13 model->addOperation(ANEURALNETWORKS_TRANSPOSE, {input, perms}, {output}); 17 {output});
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transpose_quant8_1.model.cpp | 9 auto output = model->addOperand(&type2); local 13 model->addOperation(ANEURALNETWORKS_TRANSPOSE, {input, perms}, {output}); 17 {output});
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transpose_relaxed.model.cpp | 8 auto output = model->addOperand(&type0); local 12 model->addOperation(ANEURALNETWORKS_TRANSPOSE, {input, perms}, {output}); 16 {output});
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/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
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