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Commit 836cf13a by Pariksheet Pinjari Committed by Tianqi Chen
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Correction in documentation (#1810)

parent 9afde69b
Showing with 14 additions and 14 deletions
tests/python/contrib/test_cblas.py
......@@ -18,7 +18,7 @@ def test_matmul_add():
print("skip because %s is not enabled..." % target)
return
if not tvm.get_global_func("tvm.contrib.cblas.matmul", True):
print("skip because extern function is not avalable")
print("skip because extern function is not available")
return
ctx = tvm.cpu(0)
f = tvm.build(s, [A, B, D, bias], target)
......
tests/python/contrib/test_cublas.py
......@@ -16,7 +16,7 @@ def test_matmul_add():
print("skip because %s is not enabled..." % target)
return
if not tvm.get_global_func("tvm.contrib.cublas.matmul", True):
print("skip because extern function is not avalable")
print("skip because extern function is not available")
return
ctx = tvm.gpu(0)
f = tvm.build(s, [A, B, C], target)
......
tests/python/contrib/test_mps.py
......@@ -33,7 +33,7 @@ def test_matmul():
def verify(A, B, D, s, target="metal"):
if not tvm.get_global_func("tvm.contrib.mps.matmul", True):
print("skip because extern function is not avalable")
print("skip because extern function is not available")
return
ctx = tvm.metal(0)
f = tvm.build(s, [A, B, D], "metal")
......@@ -64,7 +64,7 @@ def test_conv2d():
def verify(A, B, C, target="llvm"):
if not tvm.get_global_func("tvm.contrib.mps.conv2d", True):
print("skip because extern function is not avalable")
print("skip because extern function is not available")
return
ctx = tvm.metal(0)
f = tvm.build(s1, [A, B, C], "metal")
......
tests/python/contrib/test_nnpack.py
......@@ -19,7 +19,7 @@ def test_fully_connected_output():
print("skip because %s is not enabled..." % target)
return
if not tvm.get_global_func("tvm.contrib.nnpack.fully_connected_output", True):
print("skip because extern function is not avalable")
print("skip because extern function is not available")
return
ctx = tvm.cpu(0)
f = tvm.build(s, [A, B, D, bias], target)
......@@ -49,7 +49,7 @@ def test_fully_connected_inference():
print("skip because %s is not enabled..." % target)
return
if not tvm.get_global_func("tvm.contrib.nnpack.fully_connected_inference", True):
print("skip because extern function is not avalable")
print("skip because extern function is not available")
return
ctx = tvm.cpu(0)
f = tvm.build(s, [A, B, D, bias], target)
......@@ -128,7 +128,7 @@ def test_convolution_inference():
print("skip because %s is not enabled..." % target)
return
if not tvm.get_global_func("tvm.contrib.nnpack.fully_connected_inference", True):
print("skip because extern function is not avalable")
print("skip because extern function is not available")
return
ctx = tvm.cpu(0)
f = tvm.build(s, [data, kernel, bias, output], target)
......@@ -173,7 +173,7 @@ def test_convolution_output():
print("skip because %s is not enabled..." % target)
return
if not tvm.get_global_func("tvm.contrib.nnpack.fully_connected_inference", True):
print("skip because extern function is not avalable")
print("skip because extern function is not available")
return
ctx = tvm.cpu(0)
f = tvm.build(s, [data, kernel, bias, output], target)
......
tests/python/contrib/test_random.py
......@@ -13,7 +13,7 @@ def test_randint():
print("skip because %s is not enabled..." % target)
return
if not tvm.get_global_func("tvm.contrib.random.randint", True):
print("skip because extern function is not avalable")
print("skip because extern function is not available")
return
ctx = tvm.cpu(0)
f = tvm.build(s, [A], target)
......@@ -37,7 +37,7 @@ def test_uniform():
print("skip because %s is not enabled..." % target)
return
if not tvm.get_global_func("tvm.contrib.random.uniform", True):
print("skip because extern function is not avalable")
print("skip because extern function is not available")
return
ctx = tvm.cpu(0)
f = tvm.build(s, [A], target)
......@@ -61,7 +61,7 @@ def test_normal():
print("skip because %s is not enabled..." % target)
return
if not tvm.get_global_func("tvm.contrib.random.normal", True):
print("skip because extern function is not avalable")
print("skip because extern function is not available")
return
ctx = tvm.cpu(0)
f = tvm.build(s, [A], target)
......
tests/python/contrib/test_rocblas.py
......@@ -16,7 +16,7 @@ def test_matmul_add():
print("skip because %s is not enabled..." % target)
return
if not tvm.get_global_func("tvm.contrib.rocblas.matmul", True):
print("skip because extern function is not avalable")
print("skip because extern function is not available")
return
ctx = tvm.rocm(0)
f = tvm.build(s, [A, B, C], target)
......
topi/include/topi/nn.h
......@@ -64,7 +64,7 @@ inline tvm::Tensor relu(const tvm::Tensor& t,
* \param name The name of the operation
* \param tag The tag to mark the operation
*
* \return A Tensor whose op member is the relu operation
* \return A Tensor whose op member is the leaky relu operation
*/
inline tvm::Tensor leaky_relu(const tvm::Tensor& t,
double alpha = 0.1,
......@@ -90,7 +90,7 @@ inline tvm::Tensor leaky_relu(const tvm::Tensor& t,
* \param name The name of the operation
* \param tag The tag to mark the operation
*
* \return A Tensor whose op member is the relu operation
* \return A Tensor whose op member is the parametric relu operation
*/
inline tvm::Tensor prelu(const tvm::Tensor &x,
const tvm::Tensor &slope,
......
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