| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| depthwise_conv2d_float_large_2.mod.py | 17 model = Model() variable
27 model = model.Operation("DEPTHWISE_CONV_2D", variable
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| depthwise_conv2d_quant8.mod.py | 17 model = Model() variable
27 model = model.Operation("DEPTHWISE_CONV_2D", variable
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| depthwise_conv2d_quant8_2.mod.py | 17 model = Model() variable
27 model = model.Operation("DEPTHWISE_CONV_2D", variable
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| depthwise_conv2d_quant8_large.mod.py | 17 model = Model() variable
27 model = model.Operation("DEPTHWISE_CONV_2D", variable
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| l2_pool_float.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
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| 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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| lsh_projection.mod.py | 21 model = Model() variable
29 model = model.Operation("LSH_PROJECTION", hhash, lookup, weight, variable
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| lsh_projection_2.mod.py | 21 model = Model() variable
29 model = model.Operation("LSH_PROJECTION", hhash, lookup, weight, variable
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| 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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| 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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| 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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| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| 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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| 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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| 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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| 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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| 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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| 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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| 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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| 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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| local_response_norm_float_2_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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| local_response_norm_float_3_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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| local_response_norm_float_4_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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| max_pool_float_1_relaxed.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
25 model = model.RelaxedExecution(True) variable
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| max_pool_float_4_relaxed.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
25 model = model.RelaxedExecution(True) variable
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| strided_slice.mod.py | 0 model = Model()
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output) variable
1 model = Model() variable
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