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  /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
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
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
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
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
fully_connected_float_4d_simple.mod.py 21 model = Model() variable
31 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) variable
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
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
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
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
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
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
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
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
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
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
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
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
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
  /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
  /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
  /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
  /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
  /frameworks/support/work/workmanager/src/main/java/androidx/work/impl/model/
DependencyDao.java 17 package androidx.work.impl.model;
SystemIdInfo.java 17 package androidx.work.impl.model;

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