/packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
D | conv2d_quant8_signed.mod.py | 470 pad0 = Int32Scalar("pad0", 0) variable 475 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(outp… 491 pad0 = Int32Scalar("pad0", 0) variable 496 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(outp… 518 pad0 = Int32Scalar("pad0", 0) variable 523 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(outp… 546 pad0 = Int32Scalar("pad0", 0) variable 551 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(outp… 583 pad0 = Int32Scalar("pad0", 0) variable 590 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, [all …]
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D | depthwise_conv2d_quant8_signed.mod.py | 254 pad0 = Int32Scalar("pad0", 0) variable 262 pad0, pad0, pad0, pad0, 282 pad0 = Int32Scalar("pad0", 0) variable 290 pad0, pad0, pad0, pad0, 315 pad0 = Int32Scalar("pad0", 0) variable 323 pad0, pad0, pad0, pad0, 343 pad0 = Int32Scalar("pad0", 0) variable 351 pad0, pad0, pad0, pad0,
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/packages/modules/NeuralNetworks/runtime/test/specs/V1_0/ |
D | 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)…
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D | 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, …
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D | 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).…
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D | 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, …
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D | max_pool_quant8_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)…
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D | 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, …
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D | 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(outp…
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D | 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(outp…
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D | 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(outp…
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D | 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(outp…
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D | 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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D | 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(outp…
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D | 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(outp…
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D | depthwise_conv2d_float_large.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 29 pad0, pad0, pad0, pad0,
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D | 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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D | 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(outp…
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D | depthwise_conv2d_quant8_large.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 29 pad0, pad0, pad0, pad0,
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D | 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(outp…
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D | depthwise_conv2d_float.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 29 pad0, pad0, pad0, pad0,
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D | depthwise_conv2d_quant8.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 29 pad0, pad0, pad0, pad0,
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/packages/modules/NeuralNetworks/runtime/test/specs/V1_1/ |
D | l2_pool_float_relaxed.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).…
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D | avg_pool_float_1_relaxed.mod.py | 21 pad0 = Int32Scalar("pad0", 0) variable 24 model = model.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, …
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D | max_pool_float_1_relaxed.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)…
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