/frameworks/ml/nn/runtime/test/specs/V1_0/ |
D | mobilenet_224_gender_basic_fixed.mod.py | 4 i87 = Int32Scalar("b87", 1) 5 i88 = Int32Scalar("b88", 2) 6 i89 = Int32Scalar("b89", 2) 7 i90 = Int32Scalar("b90", 3) 8 i91 = Int32Scalar("b91", 1) 9 i92 = Int32Scalar("b92", 1) 10 i93 = Int32Scalar("b93", 1) 11 i94 = Int32Scalar("b94", 1) 12 i95 = Int32Scalar("b95", 3) 13 i96 = Int32Scalar("b96", 1) [all …]
|
D | mobilenet_quantized.mod.py | 4 i104 = Int32Scalar("b104", 1) 5 i105 = Int32Scalar("b105", 2) 6 i106 = Int32Scalar("b106", 2) 7 i107 = Int32Scalar("b107", 0) 8 i108 = Int32Scalar("b108", 1) 9 i109 = Int32Scalar("b109", 1) 10 i110 = Int32Scalar("b110", 1) 11 i111 = Int32Scalar("b111", 1) 12 i112 = Int32Scalar("b112", 0) 13 i113 = Int32Scalar("b113", 1) [all …]
|
D | l2_pool_float_large.mod.py | 19 filter_width = Int32Scalar("filter_width", 2) 20 filter_height = Int32Scalar("filter_height", 2) 21 stride_width = Int32Scalar("stride_width", 1) 22 stride_height = Int32Scalar("stride_height", 1) 23 pad0 = Int32Scalar("pad0", 0) 24 act = Int32Scalar("act", 0)
|
D | depthwise_conv.mod.py | 2 i4 = Int32Scalar("b4", 1) 3 i5 = Int32Scalar("b5", 1) 4 i6 = Int32Scalar("b6", 1) 5 i7 = Int32Scalar("b7", 1) 6 i8 = Int32Scalar("b8", 0)
|
D | conv_quant8_2.mod.py | 21 pad_valid = Int32Scalar("pad_valid", 2) 22 act_none = Int32Scalar("act_none", 0) 23 stride1 = Int32Scalar("stride1", 1) 24 stride3 = Int32Scalar("stride3", 3)
|
D | depthwise_conv2d_float_2.mod.py | 21 pad_valid = Int32Scalar("pad_valid", 2) 22 act_none = Int32Scalar("act_none", 0) 23 stride = Int32Scalar("stride", 1) 24 cm = Int32Scalar("channelMultiplier", 2)
|
D | depthwise_conv2d_quant8_2.mod.py | 21 pad_valid = Int32Scalar("pad_valid", 2) 22 act_none = Int32Scalar("act_none", 0) 23 stride = Int32Scalar("stride", 1) 24 cm = Int32Scalar("channelMultiplier", 2)
|
D | depthwise_conv2d_float.mod.py | 21 pad0 = Int32Scalar("pad0", 0) 22 act = Int32Scalar("act", 0) 23 stride = Int32Scalar("stride", 1) 24 cm = Int32Scalar("channelMultiplier", 2)
|
D | depthwise_conv2d_float_large.mod.py | 21 pad0 = Int32Scalar("pad0", 0) 22 act = Int32Scalar("act", 0) 23 stride = Int32Scalar("stride", 1) 24 cm = Int32Scalar("channelMultiplier", 1)
|
D | depthwise_conv2d_float_large_2.mod.py | 21 pad0 = Int32Scalar("pad0", 0) 22 act = Int32Scalar("act", 0) 23 stride = Int32Scalar("stride", 1) 24 cm = Int32Scalar("channelMultiplier", 1)
|
D | depthwise_conv2d_quant8.mod.py | 21 pad0 = Int32Scalar("pad0", 0) 22 act = Int32Scalar("act", 0) 23 stride = Int32Scalar("stride", 1) 24 cm = Int32Scalar("channelMultiplier", 1)
|
D | depthwise_conv2d_quant8_large.mod.py | 21 pad0 = Int32Scalar("pad0", 0) 22 act = Int32Scalar("act", 0) 23 stride = Int32Scalar("stride", 1) 24 cm = Int32Scalar("channelMultiplier", 1)
|
D | depthwise_conv2d_float_large_2_weights_as_inputs.mod.py | 21 pad0 = Int32Scalar("pad0", 0) 22 act = Int32Scalar("act", 0) 23 stride = Int32Scalar("stride", 1) 24 cm = Int32Scalar("channelMultiplier", 1)
|
D | depthwise_conv2d_float_large_weights_as_inputs.mod.py | 21 pad0 = Int32Scalar("pad0", 0) 22 act = Int32Scalar("act", 0) 23 stride = Int32Scalar("stride", 1) 24 cm = Int32Scalar("channelMultiplier", 1)
|
D | depthwise_conv2d_float_weights_as_inputs.mod.py | 21 pad0 = Int32Scalar("pad0", 0) 22 act = Int32Scalar("act", 0) 23 stride = Int32Scalar("stride", 1) 24 cm = Int32Scalar("channelMultiplier", 2)
|
D | depthwise_conv2d_quant8_large_weights_as_inputs.mod.py | 21 pad0 = Int32Scalar("pad0", 0) 22 act = Int32Scalar("act", 0) 23 stride = Int32Scalar("stride", 1) 24 cm = Int32Scalar("channelMultiplier", 1)
|
D | depthwise_conv2d_quant8_weights_as_inputs.mod.py | 21 pad0 = Int32Scalar("pad0", 0) 22 act = Int32Scalar("act", 0) 23 stride = Int32Scalar("stride", 1) 24 cm = Int32Scalar("channelMultiplier", 1)
|
/frameworks/ml/nn/runtime/test/specs/V1_1/ |
D | mobilenet_224_gender_basic_fixed_relaxed.mod.py | 20 i87 = Int32Scalar("b87", 1) 21 i88 = Int32Scalar("b88", 2) 22 i89 = Int32Scalar("b89", 2) 23 i90 = Int32Scalar("b90", 3) 24 i91 = Int32Scalar("b91", 1) 25 i92 = Int32Scalar("b92", 1) 26 i93 = Int32Scalar("b93", 1) 27 i94 = Int32Scalar("b94", 1) 28 i95 = Int32Scalar("b95", 3) 29 i96 = Int32Scalar("b96", 1) [all …]
|
D | l2_pool_float_large_relaxed.mod.py | 19 filter_width = Int32Scalar("filter_width", 2) 20 filter_height = Int32Scalar("filter_height", 2) 21 stride_width = Int32Scalar("stride_width", 1) 22 stride_height = Int32Scalar("stride_height", 1) 23 pad0 = Int32Scalar("pad0", 0) 24 act = Int32Scalar("act", 0)
|
D | depthwise_conv_relaxed.mod.py | 18 i4 = Int32Scalar("b4", 1) 19 i5 = Int32Scalar("b5", 1) 20 i6 = Int32Scalar("b6", 1) 21 i7 = Int32Scalar("b7", 1) 22 i8 = Int32Scalar("b8", 0)
|
D | depthwise_conv2d_float_2_relaxed.mod.py | 21 pad_valid = Int32Scalar("pad_valid", 2) 22 act_none = Int32Scalar("act_none", 0) 23 stride = Int32Scalar("stride", 1) 24 cm = Int32Scalar("channelMultiplier", 2)
|
D | depthwise_conv2d_float_relaxed.mod.py | 21 pad0 = Int32Scalar("pad0", 0) 22 act = Int32Scalar("act", 0) 23 stride = Int32Scalar("stride", 1) 24 cm = Int32Scalar("channelMultiplier", 2)
|
/frameworks/ml/nn/tools/test_generator/tests/P_depthwise_conv/ |
D | depthwise_conv.bin.mod.py | 2 i4 = Int32Scalar("b4", 1) 3 i5 = Int32Scalar("b5", 1) 4 i6 = Int32Scalar("b6", 1) 5 i7 = Int32Scalar("b7", 1) 6 i8 = Int32Scalar("b8", 0)
|
/frameworks/ml/nn/tools/test_generator/tests/P_conv/ |
D | conv_1_h3_w2_SAME.mod.py | 1 i4 = Int32Scalar("b4", 1) 2 i5 = Int32Scalar("b5", 1) 3 i6 = Int32Scalar("b6", 1) 4 i7 = Int32Scalar("b7", 0)
|
/frameworks/ml/nn/tools/test_generator/tests/P_quantized_conv/ |
D | quantized.mod.py | 1 i4 = Int32Scalar("b4", 2) 2 i5 = Int32Scalar("b5", 2) 3 i6 = Int32Scalar("b6", 2) 4 i7 = Int32Scalar("b7", 0)
|