/frameworks/ml/nn/runtime/test/specs/V1_1/ |
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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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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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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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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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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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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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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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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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_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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/frameworks/ml/nn/tools/test_generator/tests/P_conv/ |
conv_1_h3_w2_SAME.mod.py | 9 model = Model() variable 10 model = model.Conv(i2, i0, i1, i4, i5, i6, i7).To(i3) variable
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/frameworks/ml/nn/tools/test_generator/tests/P_depthwise_conv/ |
depthwise_conv.bin.mod.py | 0 model = Model() 11 model = model.DepthWiseConv(i2, i0, i1, i4, i5, i6, i7, i8).To(i3) variable 1 model = Model() variable
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/frameworks/ml/nn/tools/test_generator/tests/P_quantized_conv/ |
quantized.mod.py | 9 model = Model() variable 10 model = model.Conv(i2, i0, i1, i4, i5, i6, i7).To(i3) variable
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/frameworks/ml/nn/tools/test_generator/tests/P_weird/ |
weird_add.mod.py | 0 # model 2 model = Model() variable 10 model = model.Operation("ADD", i1, i2, b0).To(tmp) variable 11 model = model.Operation("ADD", tmp, i2, b0).To(tmp2) variable 12 model = model.Operation("ADD", tmp2, i4, b0).To(o3) variable
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/frameworks/support/work/workmanager/src/main/java/androidx/work/impl/model/ |
DependencyDao.java | 17 package androidx.work.impl.model;
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SystemIdInfo.java | 17 package androidx.work.impl.model;
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