| /frameworks/ml/nn/runtime/test/generated/models/ |
| H A D | logistic_float_2.model.cpp | 6 auto output = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_LOGISTIC, {input}, {output});
12 {output});
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| H A D | logistic_float_2_relaxed.model.cpp | 6 auto output = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_LOGISTIC, {input}, {output});
12 {output});
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| H A D | logistic_quant8_2.model.cpp | 7 auto output = model->addOperand(&type1); local
9 model->addOperation(ANEURALNETWORKS_LOGISTIC, {input}, {output});
13 {output});
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| H A D | relu1_float_2.model.cpp | 6 auto output = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU1, {input}, {output});
12 {output});
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| H A D | relu1_float_2_relaxed.model.cpp | 6 auto output = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU1, {input}, {output});
12 {output});
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| H A D | relu1_quant8_2.model.cpp | 6 auto output = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU1, {input}, {output});
12 {output});
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| H A D | relu6_float_2.model.cpp | 6 auto output = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU6, {input}, {output});
12 {output});
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| H A D | relu6_float_2_relaxed.model.cpp | 6 auto output = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU6, {input}, {output});
12 {output});
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| H A D | relu6_quant8_2.model.cpp | 6 auto output = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU6, {input}, {output});
12 {output});
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| H A D | relu_float_2.model.cpp | 6 auto output = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU, {input}, {output});
12 {output});
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| H A D | relu_float_2_relaxed.model.cpp | 6 auto output = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU, {input}, {output});
12 {output});
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| H A D | relu_quant8_2.model.cpp | 6 auto output = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU, {input}, {output});
12 {output});
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| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| H A D | 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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| H A D | depth_to_space_float_2.mod.py | 4 output = Output("output", "TENSOR_FLOAT32", "{1, 4, 4, 1}") variable
6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output)
12 output0 = {output: # output 0
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| H A D | depth_to_space_float_3.mod.py | 4 output = Output("output", "TENSOR_FLOAT32", "{1, 4, 4, 2}") variable
6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output)
16 output0 = {output: # output 0
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| H A D | depth_to_space_quant8_1.mod.py | 4 output = Output("output", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 2}, 0.5f, 0") variable
6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output)
12 output0 = {output: # output 0
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| H A D | depth_to_space_quant8_2.mod.py | 4 output = Output("output", "TENSOR_QUANT8_ASYMM", "{1, 4, 4, 1}, 0.5f, 0") variable
6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output)
12 output0 = {output: # output 0
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| H A D | softmax_float_1.mod.py | 6 output = Output("output", "TENSOR_FLOAT32", "{1, 4}") variable
9 model = model.Operation("SOFTMAX", i1, beta).To(output)
14 output0 = {output: [.25, .25, .25, .25]}
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| H A D | softmax_float_2.mod.py | 6 output = Output("output", "TENSOR_FLOAT32", "{2, 5}") variable
9 model = model.Operation("SOFTMAX", i1, beta).To(output)
16 output0 = {output:
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| H A D | softmax_quant8_1.mod.py | 6 output = Output("output", "TENSOR_QUANT8_ASYMM", "{1, 4}, 0.00390625f, 0") variable
9 model = model.Operation("SOFTMAX", i1, beta).To(output)
14 output0 = {output: [64, 64, 64, 64]}
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| H A D | softmax_quant8_2.mod.py | 6 output = Output("output", "TENSOR_QUANT8_ASYMM", "{2, 5}, 0.00390625f, 0") variable
9 model = model.Operation("SOFTMAX", i1, beta).To(output)
16 output0 = {output:
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| H A D | space_to_depth_float_1.mod.py | 4 output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 8}") variable
6 model = model.Operation("SPACE_TO_DEPTH", i1, block).To(output)
12 output0 = {output: # output 0
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| H A D | space_to_depth_float_2.mod.py | 4 output = Output("output", "TENSOR_FLOAT32", "{1, 2, 2, 4}") variable
6 model = model.Operation("SPACE_TO_DEPTH", i1, block).To(output)
12 output0 = {output: # output 0
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| H A D | space_to_depth_float_3.mod.py | 4 output = Output("output", "TENSOR_FLOAT32", "{1, 2, 2, 8}") variable
6 model = model.Operation("SPACE_TO_DEPTH", i1, block).To(output)
15 output0 = {output: # output 0
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| H A D | space_to_depth_quant8_1.mod.py | 4 output = Output("output", "TENSOR_QUANT8_ASYMM", "{1, 1, 1, 8}, 0.5f, 0") variable
6 model = model.Operation("SPACE_TO_DEPTH", i1, block).To(output)
12 output0 = {output: # output 0
|