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/frameworks/ml/nn/runtime/test/specs/V1_0/
depth_to_space_float_2.mod.py	3 block = Int32Scalar("block_size", 2) variable 6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output)
depth_to_space_float_3.mod.py	3 block = Int32Scalar("block_size", 2) variable 6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output)
depth_to_space_quant8_1.mod.py	3 block = Int32Scalar("radius", 2) variable 6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output)
depth_to_space_quant8_2.mod.py	3 block = Int32Scalar("radius", 2) variable 6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output)
space_to_depth_float_1.mod.py	3 block = Int32Scalar("block_size", 2) variable 6 model = model.Operation("SPACE_TO_DEPTH", i1, block).To(output)
space_to_depth_float_2.mod.py	3 block = Int32Scalar("block_size", 2) variable 6 model = model.Operation("SPACE_TO_DEPTH", i1, block).To(output)
space_to_depth_float_3.mod.py	3 block = Int32Scalar("block_size", 2) variable 6 model = model.Operation("SPACE_TO_DEPTH", i1, block).To(output)
space_to_depth_quant8_1.mod.py	3 block = Int32Scalar("radius", 2) variable 6 model = model.Operation("SPACE_TO_DEPTH", i1, block).To(output)
space_to_depth_quant8_2.mod.py	3 block = Int32Scalar("radius", 2) variable 6 model = model.Operation("SPACE_TO_DEPTH", i1, block).To(output)
/frameworks/ml/nn/runtime/test/specs/V1_1/
batch_to_space.mod.py	3 block = Parameter("block_size", "TENSOR_INT32", "{2}", [2, 2]) variable 6 model = model.Operation("BATCH_TO_SPACE_ND", i1, block).To(output)
batch_to_space_float_1.mod.py	3 block = Parameter("block_size", "TENSOR_INT32", "{2}", [2, 2]) variable 6 model = model.Operation("BATCH_TO_SPACE_ND", i1, block).To(output)
batch_to_space_float_1_relaxed.mod.py	20 block = Parameter("block_size", "TENSOR_INT32", "{2}", [2, 2]) variable 23 model = model.Operation("BATCH_TO_SPACE_ND", i1, block).To(output)
batch_to_space_quant8_1.mod.py	3 block = Parameter("block_size", "TENSOR_INT32", "{2}", [2, 2]) variable 6 model = model.Operation("BATCH_TO_SPACE_ND", i1, block).To(output)
batch_to_space_relaxed.mod.py	19 block = Parameter("block_size", "TENSOR_INT32", "{2}", [2, 2]) variable 22 model = model.Operation("BATCH_TO_SPACE_ND", i1, block).To(output)
depth_to_space_float_1_relaxed.mod.py	19 block = Int32Scalar("block_size", 2) variable 22 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output)
depth_to_space_float_2_relaxed.mod.py	19 block = Int32Scalar("block_size", 2) variable 22 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output)
depth_to_space_float_3_relaxed.mod.py	19 block = Int32Scalar("block_size", 2) variable 22 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output)
space_to_batch.mod.py	3 block = Parameter("block_size", "TENSOR_INT32", "{2}", [2, 2]) variable 7 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
space_to_batch_float_1.mod.py	3 block = Parameter("block_size", "TENSOR_INT32", "{2}", [2, 2]) variable 7 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
space_to_batch_float_1_relaxed.mod.py	19 block = Parameter("block_size", "TENSOR_INT32", "{2}", [2, 2]) variable 23 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
space_to_batch_float_2.mod.py	3 block = Parameter("block_size", "TENSOR_INT32", "{2}", [3, 2]) variable 7 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
space_to_batch_float_2_relaxed.mod.py	19 block = Parameter("block_size", "TENSOR_INT32", "{2}", [3, 2]) variable 23 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
space_to_batch_float_3.mod.py	3 block = Parameter("block_size", "TENSOR_INT32", "{2}", [3, 2]) variable 7 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
space_to_batch_float_3_relaxed.mod.py	19 block = Parameter("block_size", "TENSOR_INT32", "{2}", [3, 2]) variable 23 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
space_to_batch_quant8_1.mod.py	3 block = Parameter("block_size", "TENSOR_INT32", "{2}", [2, 2]) variable 7 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)

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1 2 3 4 56 7 8 91011>>