| /packages/modules/NeuralNetworks/tools/test_generator/tests/P_implicit_parameter/ |
| D | mean_implicit.mod.py | 15 i0 = Input("i0", ("TENSOR_FLOAT32", [2, 2])) # input 0 variable
21 model1 = Model().Operation("MEAN", i0, [0], 1).To(o1) # along axis 0, keep_dim=True
22 model2 = Model().Operation("MEAN", i0, [1], 1).To(o2) # along axis 1, keep_dim=True
23 model3 = Model().Operation("MEAN", i0, [0, 1], 0).To(o3) # along both axis, keep_dim=False
25 inputs1 = {i0: [1, 2, 3, 4]}
30 inputs2 = {i0: [-1, -2, -3, -4]}
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| D | stdout.txt.expect | 25 auto i0 = model->addOperand(&type0);
34 model->addOperation(ANEURALNETWORKS_MEAN, {i0, param, param1}, {o1});
37 {i0},
107 auto i0 = model->addOperand(&type0);
116 model->addOperation(ANEURALNETWORKS_MEAN, {i0, param2, param3}, {o2});
119 {i0},
189 auto i0 = model->addOperand(&type0);
198 model->addOperation(ANEURALNETWORKS_MEAN, {i0, param4, param5}, {o3});
201 {i0},
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| /packages/modules/NeuralNetworks/tools/test_generator/tests/P_vts_implicit_parameter/ |
| D | mean_implicit.mod.py | 15 i0 = Input("i0", ("TENSOR_FLOAT32", [2, 2])) # input 0 variable
21 model1 = Model().Operation("MEAN", i0, [0], 1).To(o1) # along axis 0, keep_dim=True
22 model2 = Model().Operation("MEAN", i0, [1], 1).To(o2) # along axis 1, keep_dim=True
23 model3 = Model().Operation("MEAN", i0, [0, 1], 0).To(o3) # along both axis, keep_dim=False
25 inputs1 = {i0: [1, 2, 3, 4]}
30 inputs2 = {i0: [-1, -2, -3, -4]}
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| D | relu_quant8_signed.mod.py | 53 i0 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{%d, %d, %d, %d}, 1.f, 0" % (d0, d1, d2, d3)) variable
57 model = model.Operation("RELU", i0).To(output)
62 input0 = {i0: input_values}
66 input0 = {i0: [value - 128 for value in input_values]}
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_0/ |
| D | relu6_quant8_2.mod.py | 25 i0 = Input("input", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 1.f, 128" % (d0, d1, d2, d3)) variable
29 model = model.Operation("RELU6", i0).To(output)
34 input0 = {i0: input_values}
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| D | relu1_quant8_2.mod.py | 25 i0 = Input("input", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 1.f, 128" % (d0, d1, d2, d3)) variable
29 model = model.Operation("RELU1", i0).To(output)
34 input0 = {i0: input_values}
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| D | relu6_float_2.mod.py | 25 i0 = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3)) variable
29 model = model.Operation("RELU6", i0).To(output)
34 input0 = {i0: input_values}
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| D | relu1_float_2.mod.py | 25 i0 = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3)) variable
29 model = model.Operation("RELU1", i0).To(output)
34 input0 = {i0: input_values}
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| D | relu_quant8_2.mod.py | 25 i0 = Input("input", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 1.f, 128" % (d0, d1, d2, d3)) variable
29 model = model.Operation("RELU", i0).To(output)
34 input0 = {i0: input_values}
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| D | logistic_float_2.mod.py | 27 i0 = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3)) variable
31 model = model.Operation("LOGISTIC", i0).To(output)
36 input0 = {i0: input_values}
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| D | relu_float_2.mod.py | 25 i0 = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3)) variable
29 model = model.Operation("RELU", i0).To(output)
34 input0 = {i0: input_values}
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| D | logistic_quant8_2.mod.py | 27 i0 = Input("input", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, .5f, 0" % (d0, d1, d2, d3)) variable
31 model = model.Operation("LOGISTIC", i0).To(output)
36 input0 = {i0: input_values}
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| D | avg_pool_quant8_2.mod.py | 25 i0 = Input("i0", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 0.5f, 0" % (bat, row, col, chn)) variable
42 …"AVERAGE_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act0).To(ou…
46 input0 = {i0: input_values}
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| D | avg_pool_float_4.mod.py | 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) variable
42 …"AVERAGE_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act3).To(ou…
46 input0 = {i0: input_values}
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| D | avg_pool_float_3.mod.py | 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) variable
42 …"AVERAGE_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act0).To(ou…
46 input0 = {i0: input_values}
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| D | avg_pool_quant8_3.mod.py | 25 i0 = Input("i0", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 0.5f, 0" % (bat, row, col, chn)) variable
42 …"AVERAGE_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act0).To(ou…
46 input0 = {i0: input_values}
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| D | avg_pool_float_2.mod.py | 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) variable
42 …"AVERAGE_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act0).To(ou…
46 input0 = {i0: input_values}
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| D | max_pool_quant8_3.mod.py | 25 i0 = Input("i0", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 0.5f, 0" % (bat, row, col, chn)) variable
42 …"MAX_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act2).To(output)
47 input0 = {i0: input_values}
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_1/ |
| D | relu6_float_2_relaxed.mod.py | 25 i0 = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3)) variable
29 model = model.Operation("RELU6", i0).To(output)
35 input0 = {i0: input_values}
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| D | relu1_float_2_relaxed.mod.py | 25 i0 = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3)) variable
29 model = model.Operation("RELU1", i0).To(output)
35 input0 = {i0: input_values}
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| D | logistic_float_2_relaxed.mod.py | 27 i0 = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3)) variable
31 model = model.Operation("LOGISTIC", i0).To(output)
37 input0 = {i0: input_values}
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| D | relu_float_2_relaxed.mod.py | 25 i0 = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3)) variable
29 model = model.Operation("RELU", i0).To(output)
35 input0 = {i0: input_values}
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| D | avg_pool_float_3_relaxed.mod.py | 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) variable
42 …"AVERAGE_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act0).To(ou…
47 input0 = {i0: input_values}
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| D | avg_pool_float_2_relaxed.mod.py | 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) variable
44 …"AVERAGE_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act0).To(ou…
49 input0 = {i0: input_values}
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| D | avg_pool_float_4_relaxed.mod.py | 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) variable
42 …"AVERAGE_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act3).To(ou…
47 input0 = {i0: input_values}
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