| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| avg_pool_float_1.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).To(i3)
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| avg_pool_quant8_1.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).To(o)
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| avg_pool_quant8_4.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act2).To(o)
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| conv_float.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| conv_float_channels.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| conv_float_channels_weights_as_inputs.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| conv_float_large.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| conv_float_large_weights_as_inputs.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| conv_float_weights_as_inputs.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| conv_quant8.mod.py | 23 pad0 = Int32Scalar("pad0", 0) variable
30 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride,
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| conv_quant8_channels.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| conv_quant8_channels_weights_as_inputs.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| conv_quant8_large.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| conv_quant8_large_weights_as_inputs.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| conv_quant8_overflow.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| conv_quant8_overflow_weights_as_inputs.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| conv_quant8_weights_as_inputs.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| depthwise_conv2d_float.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable
29 pad0, pad0, pad0, pad0,
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| depthwise_conv2d_float_large.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable
29 pad0, pad0, pad0, pad0,
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| depthwise_conv2d_float_large_2.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable
29 pad0, pad0, pad0, pad0,
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| depthwise_conv2d_quant8.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable
29 pad0, pad0, pad0, pad0,
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| depthwise_conv2d_quant8_large.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable
29 pad0, pad0, pad0, pad0,
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| l2_pool_float.mod.py | 20 pad0 = Int32Scalar("pad0", 0) variable
23 model = model.Operation("L2_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).To(i3)
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| l2_pool_float_large.mod.py | 23 pad0 = Int32Scalar("pad0", 0) variable
26 model = model.Operation("L2_POOL_2D", i1, pad0, pad0, pad0, pad0,
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| max_pool_float_1.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable
24 model = model.Operation("MAX_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).To(i3)
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