| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| mean_float_2_relaxed.mod.py | 21 output = Output("output", "TENSOR_FLOAT32", "{1, 3, 1}") variable
23 model = model.Operation("MEAN", i1, axis, keepDims).To(output)
31 output0 = {output: # output 0
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| mean_quant8_1.mod.py | 5 output = Output("output", "TENSOR_QUANT8_ASYMM", "{2}, 0.8, 5") variable
7 model = model.Operation("MEAN", i1, axis, keepDims).To(output)
15 output0 = {output: # output 0
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| mean_quant8_2.mod.py | 5 output = Output("output", "TENSOR_QUANT8_ASYMM", "{1, 3, 1}, 0.8, 5") variable
7 model = model.Operation("MEAN", i1, axis, keepDims).To(output)
15 output0 = {output: # output 0
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| mean_relaxed.mod.py | 21 output = Output("output", "TENSOR_FLOAT32", "{1, 2, 1}") variable
23 model = model.Operation("MEAN", i1, axis, keepDims).To(output)
31 output0 = {output: # output 0
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| softmax_float_1_relaxed.mod.py | 22 output = Output("output", "TENSOR_FLOAT32", "{1, 4}") variable
25 model = model.Operation("SOFTMAX", i1, beta).To(output)
31 output0 = {output: [.25, .25, .25, .25]}
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| softmax_float_2_relaxed.mod.py | 22 output = Output("output", "TENSOR_FLOAT32", "{2, 5}") variable
25 model = model.Operation("SOFTMAX", i1, beta).To(output)
33 output0 = {output:
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| space_to_batch.mod.py | 5 output = Output("output", "TENSOR_FLOAT32", "{4, 1, 1, 2}") variable
7 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
13 output0 = {output: # output 0
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| space_to_batch_float_1.mod.py | 5 output = Output("output", "TENSOR_FLOAT32", "{4, 2, 2, 1}") variable
7 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
13 output0 = {output: # output 0
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| space_to_batch_float_1_relaxed.mod.py | 21 output = Output("output", "TENSOR_FLOAT32", "{4, 2, 2, 1}") variable
23 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
30 output0 = {output: # output 0
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| space_to_batch_float_2.mod.py | 5 output = Output("output", "TENSOR_FLOAT32", "{6, 2, 2, 1}") variable
7 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
13 output0 = {output: # output 0
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| space_to_batch_float_2_relaxed.mod.py | 21 output = Output("output", "TENSOR_FLOAT32", "{6, 2, 2, 1}") variable
23 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
30 output0 = {output: # output 0
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| space_to_batch_float_3.mod.py | 5 output = Output("output", "TENSOR_FLOAT32", "{6, 2, 4, 1}") variable
7 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
13 output0 = {output: # output 0
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| space_to_batch_float_3_relaxed.mod.py | 21 output = Output("output", "TENSOR_FLOAT32", "{6, 2, 4, 1}") variable
23 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
30 output0 = {output: # output 0
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| space_to_batch_quant8_1.mod.py | 5 output = Output("output", "TENSOR_QUANT8_ASYMM", "{4, 2, 2, 1}, 1.0, 0") variable
7 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
13 output0 = {output: # output 0
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| space_to_batch_quant8_2.mod.py | 5 output = Output("output", "TENSOR_QUANT8_ASYMM", "{6, 2, 2, 1}, 1.0, 0") variable
7 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
13 output0 = {output: # output 0
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| space_to_batch_quant8_3.mod.py | 5 output = Output("output", "TENSOR_QUANT8_ASYMM", "{6, 2, 4, 1}, 1.0, 0") variable
7 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
13 output0 = {output: # output 0
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| space_to_batch_relaxed.mod.py | 21 output = Output("output", "TENSOR_FLOAT32", "{4, 1, 1, 2}") variable
23 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
30 output0 = {output: # output 0
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| space_to_depth_float_1_relaxed.mod.py | 20 output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 8}") variable
22 model = model.Operation("SPACE_TO_DEPTH", i1, block).To(output)
29 output0 = {output: # output 0
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| space_to_depth_float_2_relaxed.mod.py | 20 output = Output("output", "TENSOR_FLOAT32", "{1, 2, 2, 4}") variable
22 model = model.Operation("SPACE_TO_DEPTH", i1, block).To(output)
29 output0 = {output: # output 0
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| space_to_depth_float_3_relaxed.mod.py | 20 output = Output("output", "TENSOR_FLOAT32", "{1, 2, 2, 8}") variable
22 model = model.Operation("SPACE_TO_DEPTH", i1, block).To(output)
32 output0 = {output: # output 0
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| squeeze.mod.py | 4 output = Output("output", "TENSOR_FLOAT32", "{4, 2}") variable
6 model = model.Operation("SQUEEZE", i1, squeezeDims).To(output)
12 output0 = {output: # output 0
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| squeeze_float_1.mod.py | 4 output = Output("output", "TENSOR_FLOAT32", "{1, 24}") variable
6 model = model.Operation("SQUEEZE", i1, squeezeDims).To(output)
13 output0 = {output: # output 0
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| squeeze_float_1_relaxed.mod.py | 20 output = Output("output", "TENSOR_FLOAT32", "{1, 24}") variable
22 model = model.Operation("SQUEEZE", i1, squeezeDims).To(output)
30 output0 = {output: # output 0
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| squeeze_quant8_1.mod.py | 4 output = Output("output", "TENSOR_QUANT8_ASYMM", "{1, 24}, 1.0, 0") variable
6 model = model.Operation("SQUEEZE", i1, squeezeDims).To(output)
13 output0 = {output: # output 0
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| squeeze_relaxed.mod.py | 20 output = Output("output", "TENSOR_FLOAT32", "{4, 2}") variable
22 model = model.Operation("SQUEEZE", i1, squeezeDims).To(output)
29 output0 = {output: # output 0
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