| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| D | div_int32.mod.py | 18 input1 = Input("input1", "TENSOR_INT32", "{2, 2, 4, 6}") variable
82 input1 = Input("input1", "TENSOR_INT32", "{1}") variable
|
| D | maximum_quant8_signed.mod.py | 17 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
56 input1 = Input("input1", "TENSOR_QUANT8_ASYMM_SIGNED", "{2}, 1.0f, 0") variable
|
| D | minimum_quant8_signed.mod.py | 17 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
55 input1 = Input("input1", "TENSOR_QUANT8_ASYMM_SIGNED", "{2}, 1.0f, 0") variable
|
| D | concat_quant8_signed.mod.py | 20 input1 = Input("input1", "TENSOR_FLOAT32", "{2, 1, 2}") variable
84 input1 = Input("input1", "TENSOR_QUANT8_ASYMM_SIGNED", "{%d, %d}, 0.5f, -128" % (row1, col)) variable
111 input1 = Input("input1", "TENSOR_QUANT8_ASYMM_SIGNED", "{%d, %d}, 0.5f, -128" % (row, col1)) variable
|
| D | mul_int32.mod.py | 18 input1 = Input("input1", "TENSOR_INT32", "{1, 2, 2}") variable
|
| D | add_int32.mod.py | 19 input1 = Input("input1", "TENSOR_INT32", "{1, 2}") variable
|
| D | sub_int32.mod.py | 18 input1 = Input("input1", "TENSOR_INT32", "{1, 2, 2}") variable
|
| D | greater_equal_quant8_signed.mod.py | 16 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
|
| D | greater_quant8_signed.mod.py | 16 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
|
| D | not_equal_quant8_signed.mod.py | 16 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
|
| D | equal_quant8_signed.mod.py | 16 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
|
| D | less_quant8_signed.mod.py | 16 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
|
| D | less_equal_quant8_signed.mod.py | 16 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
|
| /packages/modules/NeuralNetworks/runtime/test/specs/V1_2/ |
| D | maximum.mod.py | 17 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
56 input1 = Input("input1", "TENSOR_QUANT8_ASYMM", "{2}, 1.0f, 128") variable
|
| D | minimum.mod.py | 17 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
56 input1 = Input("input1", "TENSOR_QUANT8_ASYMM", "{2}, 1.0f, 128") variable
|
| D | sub_v1_2_broadcast.mod.py | 19 input1 = Input("input1", "TENSOR_FLOAT32", "{2, 2}") variable
40 input1 = Input("input1", "TENSOR_QUANT8_ASYMM", "{2, 2}, 1.0, 0") variable
|
| D | sub_v1_2.mod.py | 23 input1 = Input("input1", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
39 input1 = Input("input1", "TENSOR_QUANT8_ASYMM", shape) variable
|
| D | concat_mixed_quant.mod.py | 20 input1 = Input("input1", "TENSOR_FLOAT32", "{2, 1, 2}") variable
|
| D | logical_and.mod.py | 17 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
|
| D | logical_or.mod.py | 17 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
|
| D | less.mod.py | 16 def test(name, input0, input1, output0, input0_data, input1_data, output_data, do_variations=True): argument
|
| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3_cts_only/ |
| D | concat_invalid_rank.mod.py | 18 input1 = Input("input1", "TENSOR_FLOAT32", "{1, 1, 1, 1, 2}") variable
|
| /packages/modules/NeuralNetworks/runtime/test/specs/V1_0/ |
| D | relu6_quant8_1.mod.py | 32 input1 = {i1: # input 0 variable
|
| D | relu_quant8_1.mod.py | 35 input1 = {i1: # input 0 variable
|
| D | relu1_quant8_1.mod.py | 33 input1 = {i1: # input 0 variable
|