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Posted to commits@tvm.apache.org by mo...@apache.org on 2019/11/06 17:19:36 UTC
[incubator-tvm] branch master updated: [VTA] Hotfix for padded load
test in Chisel VTA (#4264)
This is an automated email from the ASF dual-hosted git repository.
moreau pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git
The following commit(s) were added to refs/heads/master by this push:
new 1eca1ad [VTA] Hotfix for padded load test in Chisel VTA (#4264)
1eca1ad is described below
commit 1eca1ad191eee94219f5b0e33c4c557216f316e7
Author: Liangfu Chen <li...@icloud.com>
AuthorDate: Thu Nov 7 01:19:22 2019 +0800
[VTA] Hotfix for padded load test in Chisel VTA (#4264)
* Update TensorUtil.scala
* Update test_vta_insn.py
---
vta/hardware/chisel/src/main/scala/core/TensorUtil.scala | 4 ++--
vta/tests/python/unittest/test_vta_insn.py | 10 +++++-----
2 files changed, 7 insertions(+), 7 deletions(-)
diff --git a/vta/hardware/chisel/src/main/scala/core/TensorUtil.scala b/vta/hardware/chisel/src/main/scala/core/TensorUtil.scala
index 1f00554..99e9012 100644
--- a/vta/hardware/chisel/src/main/scala/core/TensorUtil.scala
+++ b/vta/hardware/chisel/src/main/scala/core/TensorUtil.scala
@@ -319,8 +319,8 @@ class TensorDataCtrl(tensorType: String = "none",
when(split) {
caddr := caddr + xmax_bytes
}.elsewhen(stride) {
- caddr := baddr + (dec.xstride << log2Ceil(strideFactor))
- baddr := baddr + (dec.xstride << log2Ceil(strideFactor))
+ caddr := baddr + (dec.xstride << log2Ceil(elemBytes))
+ baddr := baddr + (dec.xstride << log2Ceil(elemBytes))
}
}
diff --git a/vta/tests/python/unittest/test_vta_insn.py b/vta/tests/python/unittest/test_vta_insn.py
index 25d7d8c..574273f 100644
--- a/vta/tests/python/unittest/test_vta_insn.py
+++ b/vta/tests/python/unittest/test_vta_insn.py
@@ -89,10 +89,10 @@ def test_padded_load():
"""Test padded load."""
def _run(env, remote):
# declare
- n = 21
- m = 20
- pad_before = [0, 1, 0, 0]
- pad_after = [1, 3, 0, 0]
+ n = 3
+ m = 5
+ pad_before = [2, 1, 0, 0]
+ pad_after = [1, 2, 0, 0]
x = tvm.placeholder(
(n, m, env.BATCH, env.BLOCK_OUT),
name="x",
@@ -126,7 +126,7 @@ def test_padded_load():
f = remote.load_module("padded_load.o")
# verify
ctx = remote.ext_dev(0)
- x_np = np.random.randint(1, 2, size=(
+ x_np = np.random.randint(-10, 10, size=(
n, m, env.BATCH, env.BLOCK_OUT)).astype(x.dtype)
y_np = np.zeros((n + pad_before[0] + pad_after[0],
m + pad_before[1] + pad_after[1],