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Searched refs:state_out (Results 1 – 11 of 11) sorted by relevance

/frameworks/ml/nn/runtime/test/specs/V1_2/
Dsvdf_state_float16.mod.py31 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 : [
Dsvdf_bias_present_float16.mod.py33 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)],
Dsvdf_float16.mod.py33 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)],
/frameworks/ml/nn/runtime/test/specs/V1_0/
Dsvdf_state.mod.py31 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 : [
Dsvdf.mod.py33 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)],
Dsvdf_bias_present.mod.py33 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)],
Dsvdf2.mod.py33 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)],
/frameworks/ml/nn/runtime/test/specs/V1_1/
Dsvdf_state_relaxed.mod.py31 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 : [
Dsvdf2_relaxed.mod.py33 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)],
Dsvdf_relaxed.mod.py33 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)],
Dsvdf_bias_present_relaxed.mod.py33 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)],