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| author | Xusong Wang <xusongw@google.com> | 2020-06-02 14:47:55 -0700 |
|---|---|---|
| committer | Xusong Wang <xusongw@google.com> | 2020-06-02 14:47:55 -0700 |
| commit | 54688b80e26325de12e1dd5112a31343f94d68ae (patch) | |
| tree | 02341f58ada78cddcff535c7c609f78bc81d57b7 /nn/runtime/test/specs/V1_2/lsh_projection_4_relaxed.mod.py | |
| parent | c7e4e604b2d4f1cf8f2bdbe11350a48c719148d3 (diff) | |
| download | ml-54688b80e26325de12e1dd5112a31343f94d68ae.tar.gz | |
Relaxed LSH_PROJECTION: do not convert the hash tensor as internal
LSH_PROJECTION is very sensitive to the value of the hash tensor. Prior
to this CL, AllInputsAsInternalCoverter will convert the hash tensor to
internal by introducing a dummy ADD operation. Under relaxed execution
mode, the small precision loss in ADD will result in a significant
difference in the final result. This CL prevents the hash tensor from
being converted to internal in relaxed precision tests.
Additionally, this CL removes a redundant variation in
lsh_projection_float16.
Fixes: 155962587
Test: NNT_static
Change-Id: Id5522b4949a4e3ab4801537e8eb747a25f0cd0e8
Diffstat (limited to 'nn/runtime/test/specs/V1_2/lsh_projection_4_relaxed.mod.py')
| -rw-r--r-- | nn/runtime/test/specs/V1_2/lsh_projection_4_relaxed.mod.py | 5 |
1 files changed, 3 insertions, 2 deletions
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 |