/frameworks/ml/nn/runtime/test/generated/models/ |
D | svdf_float16.model.cpp | 14 auto weights_time = model->addOperand(&type2); in CreateModel() local 26 …model->addOperation(ANEURALNETWORKS_SVDF, {input, weights_feature, weights_time, bias, state_in, r… in CreateModel() 29 {input, weights_feature, weights_time, bias, state_in}, in CreateModel() 50 auto weights_time = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local 62 …model->addOperation(ANEURALNETWORKS_SVDF, {input, weights_feature, weights_time, bias, state_in, r… in CreateModel_dynamic_output_shape() 65 {input, weights_feature, weights_time, bias, state_in}, in CreateModel_dynamic_output_shape()
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D | svdf_bias_present.model.cpp | 14 auto weights_time = model->addOperand(&type2); in CreateModel() local 26 …model->addOperation(ANEURALNETWORKS_SVDF, {input, weights_feature, weights_time, bias, state_in, r… in CreateModel() 29 {input, weights_feature, weights_time, bias, state_in}, in CreateModel() 50 auto weights_time = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local 62 …model->addOperation(ANEURALNETWORKS_SVDF, {input, weights_feature, weights_time, bias, state_in, r… in CreateModel_dynamic_output_shape() 65 {input, weights_feature, weights_time, bias, state_in}, in CreateModel_dynamic_output_shape()
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D | svdf_state.model.cpp | 14 auto weights_time = model->addOperand(&type2); in CreateModel() local 26 …model->addOperation(ANEURALNETWORKS_SVDF, {input, weights_feature, weights_time, bias, state_in, r… in CreateModel() 29 {input, weights_feature, weights_time, bias, state_in}, in CreateModel() 50 auto weights_time = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local 62 …model->addOperation(ANEURALNETWORKS_SVDF, {input, weights_feature, weights_time, bias, state_in, r… in CreateModel_dynamic_output_shape() 65 {input, weights_feature, weights_time, bias, state_in}, in CreateModel_dynamic_output_shape()
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D | svdf.model.cpp | 14 auto weights_time = model->addOperand(&type2); in CreateModel() local 26 …model->addOperation(ANEURALNETWORKS_SVDF, {input, weights_feature, weights_time, bias, state_in, r… in CreateModel() 29 {input, weights_feature, weights_time, bias, state_in}, in CreateModel() 50 auto weights_time = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local 62 …model->addOperation(ANEURALNETWORKS_SVDF, {input, weights_feature, weights_time, bias, state_in, r… in CreateModel_dynamic_output_shape() 65 {input, weights_feature, weights_time, bias, state_in}, in CreateModel_dynamic_output_shape()
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D | svdf_bias_present_float16.model.cpp | 14 auto weights_time = model->addOperand(&type2); in CreateModel() local 26 …model->addOperation(ANEURALNETWORKS_SVDF, {input, weights_feature, weights_time, bias, state_in, r… in CreateModel() 29 {input, weights_feature, weights_time, bias, state_in}, in CreateModel() 50 auto weights_time = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local 62 …model->addOperation(ANEURALNETWORKS_SVDF, {input, weights_feature, weights_time, bias, state_in, r… in CreateModel_dynamic_output_shape() 65 {input, weights_feature, weights_time, bias, state_in}, in CreateModel_dynamic_output_shape()
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D | svdf_state_float16.model.cpp | 14 auto weights_time = model->addOperand(&type2); in CreateModel() local 26 …model->addOperation(ANEURALNETWORKS_SVDF, {input, weights_feature, weights_time, bias, state_in, r… in CreateModel() 29 {input, weights_feature, weights_time, bias, state_in}, in CreateModel() 50 auto weights_time = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local 62 …model->addOperation(ANEURALNETWORKS_SVDF, {input, weights_feature, weights_time, bias, state_in, r… in CreateModel_dynamic_output_shape() 65 {input, weights_feature, weights_time, bias, state_in}, in CreateModel_dynamic_output_shape()
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D | svdf2.model.cpp | 14 auto weights_time = model->addOperand(&type2); in CreateModel() local 26 …model->addOperation(ANEURALNETWORKS_SVDF, {input, weights_feature, weights_time, bias, state_in, r… in CreateModel() 29 {input, weights_feature, weights_time, bias, state_in}, in CreateModel() 50 auto weights_time = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local 62 …model->addOperation(ANEURALNETWORKS_SVDF, {input, weights_feature, weights_time, bias, state_in, r… in CreateModel_dynamic_output_shape() 65 {input, weights_feature, weights_time, bias, state_in}, in CreateModel_dynamic_output_shape()
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D | svdf2_relaxed.model.cpp | 14 auto weights_time = model->addOperand(&type2); in CreateModel() local 26 …model->addOperation(ANEURALNETWORKS_SVDF, {input, weights_feature, weights_time, bias, state_in, r… in CreateModel() 29 {input, weights_feature, weights_time, bias, state_in}, in CreateModel() 52 auto weights_time = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local 64 …model->addOperation(ANEURALNETWORKS_SVDF, {input, weights_feature, weights_time, bias, state_in, r… in CreateModel_dynamic_output_shape() 67 {input, weights_feature, weights_time, bias, state_in}, in CreateModel_dynamic_output_shape()
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D | svdf_relaxed.model.cpp | 14 auto weights_time = model->addOperand(&type2); in CreateModel() local 26 …model->addOperation(ANEURALNETWORKS_SVDF, {input, weights_feature, weights_time, bias, state_in, r… in CreateModel() 29 {input, weights_feature, weights_time, bias, state_in}, in CreateModel() 52 auto weights_time = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local 64 …model->addOperation(ANEURALNETWORKS_SVDF, {input, weights_feature, weights_time, bias, state_in, r… in CreateModel_dynamic_output_shape() 67 {input, weights_feature, weights_time, bias, state_in}, in CreateModel_dynamic_output_shape()
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D | svdf_bias_present_relaxed.model.cpp | 14 auto weights_time = model->addOperand(&type2); in CreateModel() local 26 …model->addOperation(ANEURALNETWORKS_SVDF, {input, weights_feature, weights_time, bias, state_in, r… in CreateModel() 29 {input, weights_feature, weights_time, bias, state_in}, in CreateModel() 52 auto weights_time = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local 64 …model->addOperation(ANEURALNETWORKS_SVDF, {input, weights_feature, weights_time, bias, state_in, r… in CreateModel_dynamic_output_shape() 67 {input, weights_feature, weights_time, bias, state_in}, in CreateModel_dynamic_output_shape()
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D | svdf_state_relaxed.model.cpp | 14 auto weights_time = model->addOperand(&type2); in CreateModel() local 26 …model->addOperation(ANEURALNETWORKS_SVDF, {input, weights_feature, weights_time, bias, state_in, r… in CreateModel() 29 {input, weights_feature, weights_time, bias, state_in}, in CreateModel() 52 auto weights_time = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local 64 …model->addOperation(ANEURALNETWORKS_SVDF, {input, weights_feature, weights_time, bias, state_in, r… in CreateModel_dynamic_output_shape() 67 {input, weights_feature, weights_time, bias, state_in}, in CreateModel_dynamic_output_shape()
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/frameworks/ml/nn/runtime/test/specs/V1_2/ |
D | svdf_state_float16.mod.py | 26 weights_time = Input("weights_time", "TENSOR_FLOAT16", "{%d, %d}" % (units, memory_size)) variable 34 model = model.Operation("SVDF", input, weights_feature, weights_time, bias, state_in, 43 weights_time: [
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D | svdf_float16.mod.py | 28 weights_time = Input("weights_time", "TENSOR_FLOAT16", "{%d, %d}" % (features, memory_size)) variable 36 model = model.Operation("SVDF", input, weights_feature, weights_time, bias, state_in, 46 weights_time: [
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D | svdf_bias_present_float16.mod.py | 28 weights_time = Input("weights_time", "TENSOR_FLOAT16", "{%d, %d}" % (features, memory_size)) variable 36 model = model.Operation("SVDF", input, weights_feature, weights_time, bias, state_in, 46 weights_time: [
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/frameworks/ml/nn/runtime/test/specs/V1_0/ |
D | svdf_state.mod.py | 26 weights_time = Input("weights_time", "TENSOR_FLOAT32", "{%d, %d}" % (units, memory_size)) variable 34 model = model.Operation("SVDF", input, weights_feature, weights_time, bias, state_in, 43 weights_time: [
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D | svdf_bias_present.mod.py | 28 weights_time = Input("weights_time", "TENSOR_FLOAT32", "{%d, %d}" % (features, memory_size)) variable 36 model = model.Operation("SVDF", input, weights_feature, weights_time, bias, state_in, 46 weights_time: [
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D | svdf2.mod.py | 28 weights_time = Input("weights_time", "TENSOR_FLOAT32", "{%d, %d}" % (features, memory_size)) variable 36 model = model.Operation("SVDF", input, weights_feature, weights_time, bias, state_in, 49 weights_time: [
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D | svdf.mod.py | 28 weights_time = Input("weights_time", "TENSOR_FLOAT32", "{%d, %d}" % (features, memory_size)) variable 36 model = model.Operation("SVDF", input, weights_feature, weights_time, bias, state_in, 46 weights_time: [
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/frameworks/ml/nn/runtime/test/specs/V1_1/ |
D | svdf_state_relaxed.mod.py | 26 weights_time = Input("weights_time", "TENSOR_FLOAT32", "{%d, %d}" % (units, memory_size)) variable 34 model = model.Operation("SVDF", input, weights_feature, weights_time, bias, state_in, 44 weights_time: [
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D | svdf_relaxed.mod.py | 28 weights_time = Input("weights_time", "TENSOR_FLOAT32", "{%d, %d}" % (features, memory_size)) variable 36 model = model.Operation("SVDF", input, weights_feature, weights_time, bias, state_in, 47 weights_time: [
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D | svdf_bias_present_relaxed.mod.py | 28 weights_time = Input("weights_time", "TENSOR_FLOAT32", "{%d, %d}" % (features, memory_size)) variable 36 model = model.Operation("SVDF", input, weights_feature, weights_time, bias, state_in, 47 weights_time: [
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D | svdf2_relaxed.mod.py | 28 weights_time = Input("weights_time", "TENSOR_FLOAT32", "{%d, %d}" % (features, memory_size)) variable 36 model = model.Operation("SVDF", input, weights_feature, weights_time, bias, state_in, 50 weights_time: [
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/frameworks/ml/nn/common/operations/ |
D | SVDF.cpp | 60 const RunTimeOperandInfo *weights_time = in Prepare() local 70 const uint32_t memory_size = SizeOfDimension(weights_time, 1); in Prepare() 72 NN_CHECK_EQ(SizeOfDimension(weights_time, 0), num_filters); in Prepare()
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