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-rw-r--r--runtimes/tests/neural_networks_test/specs/V1_1/space_to_batch_quant8_3.mod.py19
1 files changed, 0 insertions, 19 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_1/space_to_batch_quant8_3.mod.py b/runtimes/tests/neural_networks_test/specs/V1_1/space_to_batch_quant8_3.mod.py
deleted file mode 100644
index e9e88bbd6..000000000
--- a/runtimes/tests/neural_networks_test/specs/V1_1/space_to_batch_quant8_3.mod.py
+++ /dev/null
@@ -1,19 +0,0 @@
-model = Model()
-i1 = Input("input", "TENSOR_QUANT8_ASYMM", "{1, 4, 2, 1}, 1.0, 0")
-block = Parameter("block_size", "TENSOR_INT32", "{2}", [3, 2])
-paddings = Parameter("paddings", "TENSOR_INT32", "{2, 2}", [1, 1, 2, 4])
-output = Output("output", "TENSOR_QUANT8_ASYMM", "{6, 2, 4, 1}, 1.0, 0")
-
-model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
-
-# Example 1. Input in operand 0,
-input0 = {i1: # input 0
- [1, 2, 3, 4, 5, 6, 7, 8]}
-
-output0 = {output: # output 0
- [0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0,
- 0, 1, 0, 0, 0, 7, 0, 0, 0, 2, 0, 0, 0, 8, 0, 0,
- 0, 3, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0]}
-
-# Instantiate an example
-Example((input0, output0))