/frameworks/ml/nn/runtime/test/generated/models/ |
D | svdf_float16.model.cpp | 19 auto state_out = model->addOperand(&type4); in CreateModel() local 26 …weights_feature, weights_time, bias, state_in, rank_param, activation_param}, {state_out, output}); in CreateModel() 30 {state_out, output}); in CreateModel() 55 auto state_out = model->addOperand(&type7); in CreateModel_dynamic_output_shape() local 62 …weights_feature, weights_time, bias, state_in, rank_param, activation_param}, {state_out, output}); in CreateModel_dynamic_output_shape() 66 {state_out, output}); in CreateModel_dynamic_output_shape()
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D | svdf_bias_present.model.cpp | 19 auto state_out = model->addOperand(&type4); in CreateModel() local 26 …weights_feature, weights_time, bias, state_in, rank_param, activation_param}, {state_out, output}); in CreateModel() 30 {state_out, output}); in CreateModel() 55 auto state_out = model->addOperand(&type7); in CreateModel_dynamic_output_shape() local 62 …weights_feature, weights_time, bias, state_in, rank_param, activation_param}, {state_out, output}); in CreateModel_dynamic_output_shape() 66 {state_out, output}); in CreateModel_dynamic_output_shape()
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D | svdf_state.model.cpp | 19 auto state_out = model->addOperand(&type4); in CreateModel() local 26 …weights_feature, weights_time, bias, state_in, rank_param, activation_param}, {state_out, output}); in CreateModel() 30 {state_out, output}); in CreateModel() 55 auto state_out = model->addOperand(&type7); in CreateModel_dynamic_output_shape() local 62 …weights_feature, weights_time, bias, state_in, rank_param, activation_param}, {state_out, output}); in CreateModel_dynamic_output_shape() 66 {state_out, output}); in CreateModel_dynamic_output_shape()
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D | svdf.model.cpp | 19 auto state_out = model->addOperand(&type4); in CreateModel() local 26 …weights_feature, weights_time, bias, state_in, rank_param, activation_param}, {state_out, output}); in CreateModel() 30 {state_out, output}); in CreateModel() 55 auto state_out = model->addOperand(&type7); in CreateModel_dynamic_output_shape() local 62 …weights_feature, weights_time, bias, state_in, rank_param, activation_param}, {state_out, output}); in CreateModel_dynamic_output_shape() 66 {state_out, output}); in CreateModel_dynamic_output_shape()
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D | svdf_bias_present_float16.model.cpp | 19 auto state_out = model->addOperand(&type4); in CreateModel() local 26 …weights_feature, weights_time, bias, state_in, rank_param, activation_param}, {state_out, output}); in CreateModel() 30 {state_out, output}); in CreateModel() 55 auto state_out = model->addOperand(&type7); in CreateModel_dynamic_output_shape() local 62 …weights_feature, weights_time, bias, state_in, rank_param, activation_param}, {state_out, output}); in CreateModel_dynamic_output_shape() 66 {state_out, output}); in CreateModel_dynamic_output_shape()
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D | svdf_state_float16.model.cpp | 19 auto state_out = model->addOperand(&type4); in CreateModel() local 26 …weights_feature, weights_time, bias, state_in, rank_param, activation_param}, {state_out, output}); in CreateModel() 30 {state_out, output}); in CreateModel() 55 auto state_out = model->addOperand(&type7); in CreateModel_dynamic_output_shape() local 62 …weights_feature, weights_time, bias, state_in, rank_param, activation_param}, {state_out, output}); in CreateModel_dynamic_output_shape() 66 {state_out, output}); in CreateModel_dynamic_output_shape()
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D | svdf2.model.cpp | 19 auto state_out = model->addOperand(&type4); in CreateModel() local 26 …weights_feature, weights_time, bias, state_in, rank_param, activation_param}, {state_out, output}); in CreateModel() 30 {state_out, output}); in CreateModel() 55 auto state_out = model->addOperand(&type7); in CreateModel_dynamic_output_shape() local 62 …weights_feature, weights_time, bias, state_in, rank_param, activation_param}, {state_out, output}); in CreateModel_dynamic_output_shape() 66 {state_out, output}); in CreateModel_dynamic_output_shape()
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D | svdf2_relaxed.model.cpp | 19 auto state_out = model->addOperand(&type4); in CreateModel() local 26 …weights_feature, weights_time, bias, state_in, rank_param, activation_param}, {state_out, output}); in CreateModel() 30 {state_out, output}); in CreateModel() 57 auto state_out = model->addOperand(&type7); in CreateModel_dynamic_output_shape() local 64 …weights_feature, weights_time, bias, state_in, rank_param, activation_param}, {state_out, output}); in CreateModel_dynamic_output_shape() 68 {state_out, output}); in CreateModel_dynamic_output_shape()
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D | svdf_relaxed.model.cpp | 19 auto state_out = model->addOperand(&type4); in CreateModel() local 26 …weights_feature, weights_time, bias, state_in, rank_param, activation_param}, {state_out, output}); in CreateModel() 30 {state_out, output}); in CreateModel() 57 auto state_out = model->addOperand(&type7); in CreateModel_dynamic_output_shape() local 64 …weights_feature, weights_time, bias, state_in, rank_param, activation_param}, {state_out, output}); in CreateModel_dynamic_output_shape() 68 {state_out, output}); in CreateModel_dynamic_output_shape()
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D | svdf_bias_present_relaxed.model.cpp | 19 auto state_out = model->addOperand(&type4); in CreateModel() local 26 …weights_feature, weights_time, bias, state_in, rank_param, activation_param}, {state_out, output}); in CreateModel() 30 {state_out, output}); in CreateModel() 57 auto state_out = model->addOperand(&type7); in CreateModel_dynamic_output_shape() local 64 …weights_feature, weights_time, bias, state_in, rank_param, activation_param}, {state_out, output}); in CreateModel_dynamic_output_shape() 68 {state_out, output}); in CreateModel_dynamic_output_shape()
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D | svdf_state_relaxed.model.cpp | 19 auto state_out = model->addOperand(&type4); in CreateModel() local 26 …weights_feature, weights_time, bias, state_in, rank_param, activation_param}, {state_out, output}); in CreateModel() 30 {state_out, output}); in CreateModel() 57 auto state_out = model->addOperand(&type7); in CreateModel_dynamic_output_shape() local 64 …weights_feature, weights_time, bias, state_in, rank_param, activation_param}, {state_out, output}); in CreateModel_dynamic_output_shape() 68 {state_out, output}); in CreateModel_dynamic_output_shape()
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/frameworks/ml/nn/runtime/test/specs/V1_2/ |
D | svdf_state_float16.mod.py | 31 state_out = Output("state_out", "TENSOR_FLOAT16", "{%d, %d}" % (batches, memory_size*units)) variable 35 rank_param, activation_param).To([state_out, output]) 86 state_out : [
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D | svdf_float16.mod.py | 33 state_out = IgnoredOutput("state_out", "TENSOR_FLOAT16", "{%d, %d}" % (batches, memory_size*feature… variable 37 rank_param, activation_param).To([state_out, output]) 127 output0 = {state_out: [0 for _ in range(batches * memory_size * features)],
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D | svdf_bias_present_float16.mod.py | 33 state_out = IgnoredOutput("state_out", "TENSOR_FLOAT16", "{%d, %d}" % (batches, memory_size*feature… variable 37 rank_param, activation_param).To([state_out, output]) 127 output0 = {state_out: [0 for _ in range(batches * memory_size * features)],
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/frameworks/ml/nn/runtime/test/specs/V1_0/ |
D | svdf_state.mod.py | 31 state_out = Output("state_out", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*units)) variable 35 rank_param, activation_param).To([state_out, output]) 86 state_out : [
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D | svdf_bias_present.mod.py | 33 state_out = IgnoredOutput("state_out", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*feature… variable 37 rank_param, activation_param).To([state_out, output]) 127 output0 = {state_out: [0 for _ in range(batches * memory_size * features)],
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D | svdf2.mod.py | 33 state_out = IgnoredOutput("state_out", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*feature… variable 37 rank_param, activation_param).To([state_out, output]) 142 output0 = {state_out: [0 for _ in range(batches * memory_size * features)],
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D | svdf.mod.py | 33 state_out = IgnoredOutput("state_out", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*feature… variable 37 rank_param, activation_param).To([state_out, output]) 127 output0 = {state_out: [0 for _ in range(batches * memory_size * features)],
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/frameworks/ml/nn/runtime/test/specs/V1_1/ |
D | svdf_state_relaxed.mod.py | 31 state_out = Output("state_out", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*units)) variable 35 rank_param, activation_param).To([state_out, output]) 87 state_out : [
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D | svdf_relaxed.mod.py | 33 state_out = IgnoredOutput("state_out", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*feature… variable 37 rank_param, activation_param).To([state_out, output]) 128 output0 = {state_out: [0 for _ in range(batches * memory_size * features)],
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D | svdf_bias_present_relaxed.mod.py | 33 state_out = IgnoredOutput("state_out", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*feature… variable 37 rank_param, activation_param).To([state_out, output]) 128 output0 = {state_out: [0 for _ in range(batches * memory_size * features)],
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D | svdf2_relaxed.mod.py | 33 state_out = IgnoredOutput("state_out", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*feature… variable 37 rank_param, activation_param).To([state_out, output]) 143 output0 = {state_out: [0 for _ in range(batches * memory_size * features)],
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