/frameworks/ml/nn/runtime/test/specs/V1_0/ |
H A D | local_response_norm_float_3.mod.py | 0 model = Model() 9 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output) variable 1 model = Model() variable
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H A D | local_response_norm_float_4.mod.py | 0 model = Model() 9 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output) variable 1 model = Model() variable
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H A D | max_pool_float_1.mod.py | 17 # model 18 model = Model() variable 24 model = model.Operation("MAX_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).To(i3) variable
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H A D | max_pool_float_4.mod.py | 17 # model 18 model = Model() variable 24 model = model.Operation("MAX_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3) variable
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H A D | max_pool_quant8_1.mod.py | 17 # model 18 model = Model() variable 24 model = model.Operation("MAX_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).To(i3) variable
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H A D | max_pool_quant8_4.mod.py | 17 # model 18 model = Model() variable 24 model = model.Operation("MAX_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3) variable
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/frameworks/ml/nn/runtime/test/specs/V1_1/ |
H A D | avg_pool_float_1_relaxed.mod.py | 17 # model 18 model = Model() variable 24 model = model.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).To(i3) variable 25 model = model.RelaxedExecution(True) variable
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H A D | avg_pool_float_5_relaxed.mod.py | 17 # model 18 model = Model() variable 24 model = model.Operation("AVERAGE_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3) variable 25 model = model.RelaxedExecution(True) variable
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H A D | conv_float_2_relaxed.mod.py | 17 model = Model() variable 26 model = model.Operation("CONV_2D", i1, f1, b1, pad_same, stride, stride, act_relu).To(output) variable 27 model = model.RelaxedExecution(True) variable
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H A D | conv_float_channels_relaxed.mod.py | 17 model = Model() variable 28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable 29 model = model.RelaxedExecution(True) variable
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H A D | conv_float_channels_weights_as_inputs_relaxed.mod.py | 17 model = Model() variable 28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable 29 model = model.RelaxedExecution(True) variable
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H A D | conv_float_large_relaxed.mod.py | 17 model = Model() variable 28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable 29 model = model.RelaxedExecution(True) variable
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H A D | conv_float_large_weights_as_inputs_relaxed.mod.py | 17 model = Model() variable 28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable 29 model = model.RelaxedExecution(True) variable
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H A D | conv_float_relaxed.mod.py | 17 model = Model() variable 28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable 29 model = model.RelaxedExecution(True) variable
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H A D | conv_float_weights_as_inputs_relaxed.mod.py | 17 model = Model() variable 28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable 29 model = model.RelaxedExecution(True) variable
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H A D | fully_connected_float_2_relaxed.mod.py | 17 model = Model() variable 48 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act_relu).To(out0) variable 49 model = model.RelaxedExecution(True) variable
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H A D | fully_connected_float_4d_simple.mod.py | 21 model = Model() variable 31 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) variable
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H A D | fully_connected_float_4d_simple_relaxed.mod.py | 21 model = Model() variable 31 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) variable 32 model = model.RelaxedExecution(True) variable
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H A D | fully_connected_float_large_relaxed.mod.py | 17 model = Model() variable 23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) variable 24 model = model.RelaxedExecution(True) variable
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H A D | fully_connected_float_large_weights_as_inputs_relaxed.mod.py | 17 model = Model() variable 23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) variable 24 model = model.RelaxedExecution(True) variable
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H A D | fully_connected_float_relaxed.mod.py | 17 model = Model() variable 23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) variable 24 model = model.RelaxedExecution(True) variable
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H A D | fully_connected_float_weights_as_inputs_relaxed.mod.py | 17 model = Model() variable 23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) variable 24 model = model.RelaxedExecution(True) variable
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H A D | l2_pool_float_2_relaxed.mod.py | 17 # model 18 model = Model() variable 24 model = model.Operation("L2_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3) variable 25 model = model.RelaxedExecution(True) variable
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H A D | l2_pool_float_relaxed.mod.py | 17 model = Model() variable 23 model = model.Operation("L2_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).To(i3) variable 24 model = model.RelaxedExecution(True) variable
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H A D | local_response_norm_float_1_relaxed.mod.py | 17 model = Model() variable 25 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output) variable 26 model = model.RelaxedExecution(True) variable
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