| /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_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: [
|
| 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: [
|
| /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: [
|
| 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: [
|
| 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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| /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: [
|
| 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: [
|
| 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: [
|
| 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: [
|
| /frameworks/ml/nn/common/operations/ |
| D | SVDF.cpp | 77 const RunTimeOperandInfo* weights_time = in Prepare() local
87 const uint32_t memory_size = SizeOfDimension(weights_time, 1); in Prepare()
89 NN_CHECK_EQ(SizeOfDimension(weights_time, 0), num_filters); in Prepare()
|
| /frameworks/ml/nn/tools/api/ |
| D | types.spec | 2274 * outputs = activation(memory * weights_time + bias);
2281 * * “weights_time” is a weights matrix that processes the “memory” (by a
2307 * * 2: weights_time.
|