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-rw-r--r--nn/runtime/test/specs/V1_1/lsh_projection_2_relaxed.mod.py5
-rw-r--r--nn/runtime/test/specs/V1_1/lsh_projection_relaxed.mod.py6
-rw-r--r--nn/runtime/test/specs/V1_2/lsh_projection_3_relaxed.mod.py5
-rw-r--r--nn/runtime/test/specs/V1_2/lsh_projection_4_relaxed.mod.py5
-rw-r--r--nn/runtime/test/specs/V1_2/lsh_projection_deprecated.mod.py5
-rw-r--r--nn/runtime/test/specs/V1_2/lsh_projection_float16.mod.py2
6 files changed, 16 insertions, 12 deletions
diff --git a/nn/runtime/test/specs/V1_1/lsh_projection_2_relaxed.mod.py b/nn/runtime/test/specs/V1_1/lsh_projection_2_relaxed.mod.py
index 6608b0666..1904f0490 100644
--- a/nn/runtime/test/specs/V1_1/lsh_projection_2_relaxed.mod.py
+++ b/nn/runtime/test/specs/V1_1/lsh_projection_2_relaxed.mod.py
@@ -20,8 +20,9 @@ num_bits = 2
model = Model()
-hhash = Parameter("hash", "TENSOR_FLOAT32", "{%d, %d}" % (num_hash, num_bits),
- [0.123, 0.456, -0.321, -0.654, 1.234, 5.678, -4.321, -8.765])
+hhash = Parameter(
+ "hash", "TENSOR_FLOAT32", "{%d, %d}" % (num_hash, num_bits),
+ [0.123, 0.456, -0.321, -0.654, 1.234, 5.678, -4.321, -8.765]).ShouldNeverBeInternal()
lookup = Input("lookup", "TENSOR_INT32", "{%d, %d}" % (num_input, num_bits))
weight = Input("weight", "TENSOR_FLOAT32", "{%d}" % (num_input))
type_param = Int32Scalar("type_param", 1) # SPARSE
diff --git a/nn/runtime/test/specs/V1_1/lsh_projection_relaxed.mod.py b/nn/runtime/test/specs/V1_1/lsh_projection_relaxed.mod.py
index 9a1bfaca2..c8ac42bdc 100644
--- a/nn/runtime/test/specs/V1_1/lsh_projection_relaxed.mod.py
+++ b/nn/runtime/test/specs/V1_1/lsh_projection_relaxed.mod.py
@@ -20,8 +20,9 @@ num_bits = 2
model = Model()
-hhash = Parameter("hash", "TENSOR_FLOAT32", "{%d, %d}" % (num_hash, num_bits),
- [0.123, 0.456, -0.321, -0.654, 1.234, 5.678, -4.321, -8.765])
+hhash = Parameter(
+ "hash", "TENSOR_FLOAT32", "{%d, %d}" % (num_hash, num_bits),
+ [0.123, 0.456, -0.321, -0.654, 1.234, 5.678, -4.321, -8.765]).ShouldNeverBeInternal()
lookup = Input("lookup", "TENSOR_INT32", "{%d, %d}" % (num_input, num_bits))
weight = Input("weight", "TENSOR_FLOAT32", "{%d}" % (num_input))
type_param = Int32Scalar("type_param", 2) # DENSE
@@ -38,4 +39,3 @@ input0 = {
output0 = {output: [1, 1, 1, 0, 1, 1, 1, 0]}
Example((input0, output0))
-
diff --git a/nn/runtime/test/specs/V1_2/lsh_projection_3_relaxed.mod.py b/nn/runtime/test/specs/V1_2/lsh_projection_3_relaxed.mod.py
index de7cec111..443fe6956 100644
--- a/nn/runtime/test/specs/V1_2/lsh_projection_3_relaxed.mod.py
+++ b/nn/runtime/test/specs/V1_2/lsh_projection_3_relaxed.mod.py
@@ -20,8 +20,9 @@ num_bits = 2
model = Model()
-hhash = Parameter("hash", "TENSOR_FLOAT32", "{%d, %d}" % (num_hash, num_bits),
- [0.123, 0.456, -0.321, -0.654, 1.234, 5.678, -4.321, -8.765])
+hhash = Parameter(
+ "hash", "TENSOR_FLOAT32", "{%d, %d}" % (num_hash, num_bits),
+ [0.123, 0.456, -0.321, -0.654, 1.234, 5.678, -4.321, -8.765]).ShouldNeverBeInternal()
lookup = Input("lookup", "TENSOR_INT32", "{%d, %d}" % (num_input, num_bits))
weight = Input("weight", "TENSOR_FLOAT32", "{%d}" % (num_input))
type_param = Int32Scalar("type_param", 3) # SPARSE
diff --git a/nn/runtime/test/specs/V1_2/lsh_projection_4_relaxed.mod.py b/nn/runtime/test/specs/V1_2/lsh_projection_4_relaxed.mod.py
index 2b3b33a1e..a8af8940d 100644
--- a/nn/runtime/test/specs/V1_2/lsh_projection_4_relaxed.mod.py
+++ b/nn/runtime/test/specs/V1_2/lsh_projection_4_relaxed.mod.py
@@ -20,8 +20,9 @@ num_bits = 2
model = Model()
-hhash = Parameter("hash", "TENSOR_FLOAT32", "{%d, %d}" % (num_hash, num_bits),
- [0.123, 0.456, -0.321, -0.654, 1.234, 5.678, -4.321, -8.765])
+hhash = Parameter(
+ "hash", "TENSOR_FLOAT32", "{%d, %d}" % (num_hash, num_bits),
+ [0.123, 0.456, -0.321, -0.654, 1.234, 5.678, -4.321, -8.765]).ShouldNeverBeInternal()
lookup = Input("lookup", "TENSOR_INT32", "{%d, %d}" % (num_input, num_bits))
weight = Input("weight", "TENSOR_FLOAT32", "{%d}" % (num_input))
type_param = Int32Scalar("type_param", 1) # SPARSE DEPRECATED
diff --git a/nn/runtime/test/specs/V1_2/lsh_projection_deprecated.mod.py b/nn/runtime/test/specs/V1_2/lsh_projection_deprecated.mod.py
index 2b3b33a1e..a8af8940d 100644
--- a/nn/runtime/test/specs/V1_2/lsh_projection_deprecated.mod.py
+++ b/nn/runtime/test/specs/V1_2/lsh_projection_deprecated.mod.py
@@ -20,8 +20,9 @@ num_bits = 2
model = Model()
-hhash = Parameter("hash", "TENSOR_FLOAT32", "{%d, %d}" % (num_hash, num_bits),
- [0.123, 0.456, -0.321, -0.654, 1.234, 5.678, -4.321, -8.765])
+hhash = Parameter(
+ "hash", "TENSOR_FLOAT32", "{%d, %d}" % (num_hash, num_bits),
+ [0.123, 0.456, -0.321, -0.654, 1.234, 5.678, -4.321, -8.765]).ShouldNeverBeInternal()
lookup = Input("lookup", "TENSOR_INT32", "{%d, %d}" % (num_input, num_bits))
weight = Input("weight", "TENSOR_FLOAT32", "{%d}" % (num_input))
type_param = Int32Scalar("type_param", 1) # SPARSE DEPRECATED
diff --git a/nn/runtime/test/specs/V1_2/lsh_projection_float16.mod.py b/nn/runtime/test/specs/V1_2/lsh_projection_float16.mod.py
index ed19b17f7..4b22ad190 100644
--- a/nn/runtime/test/specs/V1_2/lsh_projection_float16.mod.py
+++ b/nn/runtime/test/specs/V1_2/lsh_projection_float16.mod.py
@@ -36,4 +36,4 @@ input0 = {
}
output0 = {output: [1, 1, 1, 1, 1, 0, 0, 0]}
-Example((input0, output0)).AddVariations("float16");
+Example((input0, output0))