| /frameworks/ml/nn/runtime/test/specs/ |
| D | rnn.mod.py | 37 input0 = { variable
192 input0[input] = test_inputs[input_begin:input_end]
193 input0[input].extend(input0[input])
194 input0[hidden_state_in] = [0 for x in range(batches * units)]
202 Example((input0, output0))
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| D | lstm3_state2.mod.py | 97 input0 = {input_to_input_weights: [ variable
620 input0[input] = [0.073204, 0.296072, 0.743333, 0.069199, 0.045348]
622 input0[input].extend(
625 input0[output_state_in] = [
635 input0[cell_state_in] = [
687 Example((input0, output0))
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| D | lstm3_state.mod.py | 97 input0 = {input_to_input_weights: [ variable
620 input0[input] = [0.596268, 0.998386, 0.568695, 0.864524, 0.571277]
622 input0[input].extend(
625 input0[output_state_in] = [
635 input0[cell_state_in] = [
687 Example((input0, output0))
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| D | lstm3_state3.mod.py | 97 input0 = {input_to_input_weights: [ variable
620 input0[input] = [0.867394, 0.291279, 0.013714, 0.482521, 0.626339]
622 input0[input].extend(
625 input0[output_state_in] = [
635 input0[cell_state_in] = [
667 Example((input0, output0))
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| D | lstm3.mod.py | 97 input0 = {input_to_input_weights: [ variable
620 input0[input] = [0.787926, 0.151646, 0.071352, 0.118426, 0.458058]
622 input0[input].extend(
625 input0[cell_state_in] = [ 0 for _ in range(n_batch * n_cell) ]
626 input0[output_state_in] = [ 0 for _ in range(n_batch * n_output) ]
666 Example((input0, output0))
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| D | rnn_state.mod.py | 37 input0 = { variable
89 input0[input] = [
95 input0[hidden_state_in] = [
127 Example((input0, output0))
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| D | svdf_state.mod.py | 37 input0 = { variable
61 input0[input] = [
65 input0[state_in] = [
116 Example((input0, output0))
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| D | lstm2_state.mod.py | 96 input0 = {input_to_input_weights:[], variable
141 input0[input] = [3., 4.]
142 input0[output_state_in] = [-0.364445, -0.00352185, 0.128866, -0.0516365]
143 input0[cell_state_in] = [-0.760444, -0.0180416, 0.182264, -0.0649371]
145 Example((input0, output0))
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| D | lstm2.mod.py | 96 input0 = {input_to_input_weights:[], variable
141 input0[input] = [2., 3.]
142 input0[output_state_in] = [ 0 for _ in range(n_batch * n_output) ]
143 input0[cell_state_in] = [ 0 for _ in range(n_batch * n_cell) ]
146 Example((input0, output0))
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| D | lstm.mod.py | 97 input0 = {input_to_input_weights: [-0.45018822, -0.02338299, -0.0870589, -0.34550029, 0.04266912, … variable
149 input0[input] = test_input
150 input0[output_state_in] = output_state
151 input0[cell_state_in] = cell_state
152 Example((input0, output0))
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| D | lstm2_state2.mod.py | 96 input0 = {input_to_input_weights:[], variable
141 input0[input] = [1., 1.]
142 input0[output_state_in] = [-0.423122, -0.0121822, 0.24201, -0.0812458]
143 input0[cell_state_in] = [-0.978419, -0.139203, 0.338163, -0.0983904]
146 Example((input0, output0))
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| D | lstm_state.mod.py | 97 input0 = {input_to_input_weights: [-0.45018822, -0.02338299, -0.0870589, -0.34550029, 0.04266912, … variable
149 input0[input] = test_input
150 input0[output_state_in] = output_state
151 input0[cell_state_in] = cell_state
152 Example((input0, output0))
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| D | lstm_state2.mod.py | 97 input0 = {input_to_input_weights: [-0.45018822, -0.02338299, -0.0870589, -0.34550029, 0.04266912, … variable
149 input0[input] = test_input
150 input0[output_state_in] = output_state
151 input0[cell_state_in] = cell_state
152 Example((input0, output0))
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| D | svdf.mod.py | 37 input0 = { variable
133 input0[input] = test_inputs[batch_start:batch_end]
134 input0[state_in] = [0 for _ in range(batches * (memory_size - 1) * units)]
140 Example((input0, output0))
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| D | l2_normalization_large.mod.py | 25 input0 = {i1: # input 0 - 4 color, 3 channels variable
38 Example((input0, output0))
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| D | relu1_float_1.mod.py | 23 input0 = {i1: # input 0 variable
28 Example((input0, output0))
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| D | l2_normalization.mod.py | 25 input0 = {i1: # input 0 - 1 color, 3 channels variable
32 Example((input0, output0))
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| D | relu6_float_1.mod.py | 23 input0 = {i1: # input 0 variable
28 Example((input0, output0))
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| D | dequantize.mod.py | 8 input0 = {i1: # input 0 variable
15 Example((input0, output0))
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| D | tanh.mod.py | 9 input0 = {i1: # input 0 variable
16 Example((input0, output0))
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| D | floor.mod.py | 8 input0 = {i1: # input 0 variable
17 Example((input0, output0))
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| D | logistic_quant8_1.mod.py | 25 input0 = {i1: # input 0 variable
32 Example((input0, output0))
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| D | logistic_float_1.mod.py | 25 input0 = {i1: # input 0 variable
35 Example((input0, output0))
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| D | relu_float_1.mod.py | 23 input0 = {i1: # input 0 variable
28 Example((input0, output0))
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| /frameworks/ml/nn/tools/test_generator/tests/P_lstm/ |
| D | lstm.mod.py | 97 input0 = {input_to_input_weights: [-0.45018822, -0.02338299, -0.0870589, -0.34550029, 0.04266912, … variable
158 input0[input] = input_tensor
159 input0[output_state_in] = [ 0 for _ in range(n_batch * n_output) ]
160 input0[cell_state_in] = [ 0 for _ in range(n_batch * n_cell) ]
161 Example((input0, output0))
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