| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| H A D | depthwise_conv2d_float_large_2_weights_as_inputs.mod.py | 17 model = Model() variable
27 model = model.Operation("DEPTHWISE_CONV_2D", variable
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| H A D | depthwise_conv2d_float_large_weights_as_inputs.mod.py | 17 model = Model() variable
27 model = model.Operation("DEPTHWISE_CONV_2D", variable
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| H A D | depthwise_conv2d_float_weights_as_inputs.mod.py | 17 model = Model() variable
27 model = model.Operation("DEPTHWISE_CONV_2D", variable
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| H A D | depthwise_conv2d_quant8.mod.py | 17 model = Model() variable
27 model = model.Operation("DEPTHWISE_CONV_2D", variable
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| H A D | depthwise_conv2d_quant8_2.mod.py | 17 model = Model() variable
27 model = model.Operation("DEPTHWISE_CONV_2D", variable
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| H A D | depthwise_conv2d_quant8_large.mod.py | 17 model = Model() variable
27 model = model.Operation("DEPTHWISE_CONV_2D", variable
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| H A D | depthwise_conv2d_quant8_large_weights_as_inputs.mod.py | 17 model = Model() variable
27 model = model.Operation("DEPTHWISE_CONV_2D", variable
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| H A D | depthwise_conv2d_quant8_weights_as_inputs.mod.py | 17 model = Model() variable
27 model = model.Operation("DEPTHWISE_CONV_2D", variable
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| H A D | embedding_lookup.mod.py | 28 model = Model() variable
32 model = model.Operation("EMBEDDING_LOOKUP", index, value).To(output) variable
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| H A D | hashtable_lookup_float.mod.py | 27 model = Model() variable
34 model = model.Operation("HASHTABLE_LOOKUP", lookup, key, value).To([output, hits]) variable
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| H A D | hashtable_lookup_quant8.mod.py | 27 model = Model() variable
34 model = model.Operation("HASHTABLE_LOOKUP", lookup, key, value).To([output, hits]) variable
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| H A D | l2_pool_float_large.mod.py | 17 model = Model() variable
26 model = model.Operation("L2_POOL_2D", i1, pad0, pad0, pad0, pad0, variable
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| H A D | logistic_float_2.mod.py | 17 # model
18 model = Model() variable
29 model = model.Operation("LOGISTIC", i0).To(output) variable
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| H A D | logistic_quant8_2.mod.py | 17 # model
18 model = Model() variable
29 model = model.Operation("LOGISTIC", i0).To(output) variable
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| H A D | lsh_projection.mod.py | 21 model = Model() variable
29 model = model.Operation("LSH_PROJECTION", hhash, lookup, weight, variable
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| H A D | lsh_projection_2.mod.py | 21 model = Model() variable
29 model = model.Operation("LSH_PROJECTION", hhash, lookup, weight, variable
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| H A D | lsh_projection_weights_as_inputs.mod.py | 21 model = Model() variable
28 model = model.Operation("LSH_PROJECTION", hhash, lookup, weight, type_param).To(output) variable
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| H A D | relu1_float_2.mod.py | 17 # model
18 model = Model() variable
29 model = model.Operation("RELU1", i0).To(output) variable
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| H A D | relu1_quant8_2.mod.py | 17 # model
18 model = Model() variable
29 model = model.Operation("RELU1", i0).To(output) variable
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| H A D | relu6_float_2.mod.py | 17 # model
18 model = Model() variable
29 model = model.Operation("RELU6", i0).To(output) variable
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| H A D | relu6_quant8_2.mod.py | 17 # model
18 model = Model() variable
29 model = model.Operation("RELU6", i0).To(output) variable
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| H A D | relu_float_2.mod.py | 17 # model
18 model = Model() variable
29 model = model.Operation("RELU", i0).To(output) variable
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| H A D | relu_quant8_2.mod.py | 17 # model
18 model = Model() variable
29 model = model.Operation("RELU", i0).To(output) variable
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| H A D | rnn_state.mod.py | 21 model = Model() variable
34 model = model.Operation("RNN", input, weights, recurrent_weights, bias, hidden_state_in, variable
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| H A D | svdf_state.mod.py | 22 model = Model() variable
34 model = model.Operation("SVDF", input, weights_feature, weights_time, bias, state_in, variable
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