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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2022/05/20 11:16:33 UTC
[GitHub] [incubator-mxnet] bgawrych opened a new pull request, #21034: [FEATURE] Add tanh approximation for GeLU activation
bgawrych opened a new pull request, #21034:
URL: https://github.com/apache/incubator-mxnet/pull/21034
## Description ##
Add support for GELU activation with tanh approximation - it is used e.g. in GPT2 model in GluonNLP
https://github.com/dmlc/gluon-nlp/blob/5ff0519aa5a89e7e2a2c0afab164e17de55231b4/src/gluonnlp/layers.py#L324
## Checklist ##
### Essentials ###
- [x] PR's title starts with a category (e.g. [BUGFIX], [MODEL], [TUTORIAL], [FEATURE], [DOC], etc)
- [x] Changes are complete (i.e. I finished coding on this PR)
- [x] All changes have test coverage
- [x] Code is well-documented
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[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #21034: [FEATURE] Add tanh approximation for GeLU activation
Posted by GitBox <gi...@apache.org>.
mxnet-bot commented on PR #21034:
URL: https://github.com/apache/incubator-mxnet/pull/21034#issuecomment-1164334610
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[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #21034: [FEATURE] Add tanh approximation for GeLU activation
Posted by GitBox <gi...@apache.org>.
mxnet-bot commented on PR #21034:
URL: https://github.com/apache/incubator-mxnet/pull/21034#issuecomment-1147281914
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[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #21034: [FEATURE] Add tanh approximation for GeLU activation
Posted by GitBox <gi...@apache.org>.
mxnet-bot commented on PR #21034:
URL: https://github.com/apache/incubator-mxnet/pull/21034#issuecomment-1161333785
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[GitHub] [incubator-mxnet] bgawrych commented on a diff in pull request #21034: [FEATURE] Add tanh approximation for GeLU activation
Posted by GitBox <gi...@apache.org>.
bgawrych commented on code in PR #21034:
URL: https://github.com/apache/incubator-mxnet/pull/21034#discussion_r881341406
##########
src/api/operator/numpy_extension/npx_leaky_relu_op.cc:
##########
@@ -41,8 +41,10 @@ inline int String2ActType(const std::string& s) {
return leakyrelu::kELU;
} else if (s == "selu") {
return leakyrelu::kSELU;
- } else if (s == "gelu") {
- return leakyrelu::kGELU;
+ } else if (s == "gelu" || s == "gelu_erf") {
Review Comment:
backward compability
##########
src/operator/leaky_relu.cc:
##########
@@ -166,7 +166,10 @@ when the input is negative and has a slope of one when input is positive.
The following modified ReLU Activation functions are supported:
- *elu*: Exponential Linear Unit. `y = x > 0 ? x : slope * (exp(x)-1)`
-- *gelu*: Gaussian Error Linear Unit. `y = 0.5 * x * (1 + erf(x / sqrt(2)))`
+- *gelu*: Same as gelu_erf
+- *gelu_erf*: Gaussian Error Linear Unit. `y = 0.5 * x * (1 + erf(x / sqrt(2)))`
Review Comment:
done
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[GitHub] [incubator-mxnet] bgawrych commented on pull request #21034: [FEATURE] Add tanh approximation for GeLU activation
Posted by GitBox <gi...@apache.org>.
bgawrych commented on PR #21034:
URL: https://github.com/apache/incubator-mxnet/pull/21034#issuecomment-1160493623
@mxnet-bot run ci [centos-cpu, unix-cpu]
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[GitHub] [incubator-mxnet] bgawrych commented on a diff in pull request #21034: [FEATURE] Add tanh approximation for GeLU activation
Posted by GitBox <gi...@apache.org>.
bgawrych commented on code in PR #21034:
URL: https://github.com/apache/incubator-mxnet/pull/21034#discussion_r904916530
##########
src/operator/operator_tune.cc:
##########
@@ -277,6 +277,7 @@ IMPLEMENT_UNARY_WORKLOAD_BWD(mxnet::op::mshadow_op::relu_grad);
IMPLEMENT_UNARY_WORKLOAD_FWD(mxnet::op::mshadow_op::selu); // NOLINT()
IMPLEMENT_UNARY_WORKLOAD_BWD(mxnet::op::mshadow_op::selu_grad); // NOLINT()
IMPLEMENT_UNARY_WORKLOAD_FWD(mxnet::op::mshadow_op::gelu); // NOLINT()
Review Comment:
done
##########
src/operator/mshadow_op.h:
##########
@@ -617,9 +617,25 @@ MXNET_UNARY_MATH_OP(gelu,
(1.0f + math::erf(static_cast<float>(a) / SQRT_2))));
MXNET_BINARY_MATH_OP_NC(gelu_grad,
- DType(0.5f * (1.0f + math::erf(static_cast<float>(a) / SQRT_2) +
- static_cast<float>(a) *
- erf_grad::Map(static_cast<float>(a) / SQRT_2) / SQRT_2)));
+ DType(static_cast<float>(b) / static_cast<float>(a) +
+ 0.5f * static_cast<float>(a) *
+ erf_grad::Map(static_cast<float>(a) / SQRT_2) / SQRT_2));
+
+MXNET_UNARY_MATH_OP(gelu_tanh,
+ DType(0.5f * static_cast<float>(a) *
+ (1.0f + math::tanh(math::sqrt(2.0f / PI) *
+ (static_cast<float>(a) +
+ 0.044715 * math::pow(static_cast<float>(a), 3))))));
+
+MXNET_BINARY_MATH_OP_NC(
+ gelu_tanh_grad,
+ DType(static_cast<float>(b) *
+ (1.0f / static_cast<float>(a) +
+ (1.0f -
+ math::tanh(math::sqrt(2.0f / PI) *
+ (static_cast<float>(a) + 0.044715 * math::pow(static_cast<float>(a), 3))) *
+ (math::sqrt(2.0f / PI) *
+ (1.0f + 0.134145 * math::pow(static_cast<float>(a), 2)))))));
Review Comment:
done
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[GitHub] [incubator-mxnet] bartekkuncer commented on a diff in pull request #21034: [FEATURE] Add tanh approximation for GeLU activation
Posted by GitBox <gi...@apache.org>.
bartekkuncer commented on code in PR #21034:
URL: https://github.com/apache/incubator-mxnet/pull/21034#discussion_r902744238
##########
src/operator/leaky_relu.cc:
##########
@@ -167,6 +179,9 @@ The following modified ReLU Activation functions are supported:
- *elu*: Exponential Linear Unit. `y = x > 0 ? x : slope * (exp(x)-1)`
- *gelu*: Gaussian Error Linear Unit. `y = 0.5 * x * (1 + erf(x / sqrt(2)))`
+- *gelu_erf*: Same as gelu
Review Comment:
```suggestion
- *gelu_erf*: Same as gelu.
```
##########
python/mxnet/gluon/nn/activations.py:
##########
@@ -200,18 +200,26 @@ class GELU(HybridBlock):
"Gaussian Error Linear Units (GELUs)", Hendrycks et al, 2016
https://arxiv.org/abs/1606.08415
+ Parameters
+ ----------
+ approximation : string
+ Which approximation of GELU calculation to use (erf or tanh)
Inputs:
- **data**: input tensor with arbitrary shape.
Outputs:
- **out**: output tensor with the same shape as `data`.
"""
- def __init__(self, **kwargs):
+ def __init__(self, approximation='erf', **kwargs):
+ if approximation not in ['erf', 'tanh']:
+ raise ValueError("Unsupported approximation! Support values are 'erf' and 'tanh', "
Review Comment:
```suggestion
raise ValueError("Unsupported approximation! Supported values are 'erf' and 'tanh', "
```
##########
src/operator/leaky_relu.cc:
##########
@@ -157,6 +157,18 @@ static bool LRChangeLayout(nnvm::NodeAttrs* attrs,
return false;
}
+static void LeakyReLUParamParser(nnvm::NodeAttrs* attrs) {
+ // For backward compatible, replace gelu to gelu_erf
Review Comment:
```suggestion
// For backward compatibility, replace gelu to gelu_erf
```
##########
tests/python/unittest/test_operator.py:
##########
@@ -634,6 +634,29 @@ def fselu_grad(grad, x, y):
def test_gelu():
+ np_erf = np.vectorize(math.erf)
+ def fgelu(x):
+ return 0.5 * x * (1.0 + np_erf(x/np.sqrt(2)))
+
+ def fgelu_grad(grad, x, y):
+ return grad * (y / x + x / np.sqrt(2 * math.pi) * np.exp(-0.5*(x**2)))
+
+ shape = (3, 4)
+ x = mx.sym.Variable("x")
+ y = mx.sym.LeakyReLU(data=x, act_type="gelu")
+ for dtype in [np.float16, np.float32, np.float64]:
+ xa = np.random.uniform(low=-0.1,high=0.1,size=shape).astype(dtype)
Review Comment:
```suggestion
xa = np.random.uniform(low=-0.1, high=0.1, size=shape).astype(dtype)
```
##########
tests/python/unittest/test_operator.py:
##########
@@ -634,6 +634,29 @@ def fselu_grad(grad, x, y):
def test_gelu():
+ np_erf = np.vectorize(math.erf)
+ def fgelu(x):
+ return 0.5 * x * (1.0 + np_erf(x/np.sqrt(2)))
+
+ def fgelu_grad(grad, x, y):
+ return grad * (y / x + x / np.sqrt(2 * math.pi) * np.exp(-0.5*(x**2)))
Review Comment:
Inconsistent whitespaces.
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[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #21034: [FEATURE] Add tanh approximation for GeLU activation
Posted by GitBox <gi...@apache.org>.
mxnet-bot commented on PR #21034:
URL: https://github.com/apache/incubator-mxnet/pull/21034#issuecomment-1132781032
Hey @bgawrych , Thanks for submitting the PR
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[GitHub] [incubator-mxnet] bgawrych commented on pull request #21034: [FEATURE] Add tanh approximation for GeLU activation
Posted by GitBox <gi...@apache.org>.
bgawrych commented on PR #21034:
URL: https://github.com/apache/incubator-mxnet/pull/21034#issuecomment-1161333706
@mxnet-bot run ci [windows-gpu, unix-cpu]
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[GitHub] [incubator-mxnet] bartekkuncer commented on a diff in pull request #21034: [FEATURE] Add tanh approximation for GeLU activation
Posted by GitBox <gi...@apache.org>.
bartekkuncer commented on code in PR #21034:
URL: https://github.com/apache/incubator-mxnet/pull/21034#discussion_r880208764
##########
src/api/operator/numpy_extension/npx_leaky_relu_op.cc:
##########
@@ -41,8 +41,10 @@ inline int String2ActType(const std::string& s) {
return leakyrelu::kELU;
} else if (s == "selu") {
return leakyrelu::kSELU;
- } else if (s == "gelu") {
- return leakyrelu::kGELU;
+ } else if (s == "gelu" || s == "gelu_erf") {
Review Comment:
Why did you leave the old name here?
##########
src/operator/leaky_relu.cc:
##########
@@ -166,7 +166,10 @@ when the input is negative and has a slope of one when input is positive.
The following modified ReLU Activation functions are supported:
- *elu*: Exponential Linear Unit. `y = x > 0 ? x : slope * (exp(x)-1)`
-- *gelu*: Gaussian Error Linear Unit. `y = 0.5 * x * (1 + erf(x / sqrt(2)))`
+- *gelu*: Same as gelu_erf
+- *gelu_erf*: Gaussian Error Linear Unit. `y = 0.5 * x * (1 + erf(x / sqrt(2)))`
Review Comment:
Would it not be better to have full explanation first and then "Same as XXX"?
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[GitHub] [incubator-mxnet] bgawrych commented on pull request #21034: [FEATURE] Add tanh approximation for GeLU activation
Posted by GitBox <gi...@apache.org>.
bgawrych commented on PR #21034:
URL: https://github.com/apache/incubator-mxnet/pull/21034#issuecomment-1147281813
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[GitHub] [incubator-mxnet] bgawrych commented on pull request #21034: [FEATURE] Add tanh approximation for GeLU activation
Posted by GitBox <gi...@apache.org>.
bgawrych commented on PR #21034:
URL: https://github.com/apache/incubator-mxnet/pull/21034#issuecomment-1164334524
@mxnet-bot run ci [clang]
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[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #21034: [FEATURE] Add tanh approximation for GeLU activation
Posted by GitBox <gi...@apache.org>.
mxnet-bot commented on PR #21034:
URL: https://github.com/apache/incubator-mxnet/pull/21034#issuecomment-1156035674
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[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #21034: [FEATURE] Add tanh approximation for GeLU activation
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URL: https://github.com/apache/incubator-mxnet/pull/21034#issuecomment-1164302425
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[GitHub] [incubator-mxnet] bgawrych commented on pull request #21034: [FEATURE] Add tanh approximation for GeLU activation
Posted by GitBox <gi...@apache.org>.
bgawrych commented on PR #21034:
URL: https://github.com/apache/incubator-mxnet/pull/21034#issuecomment-1162676126
@mxnet-bot run ci [centos-cpu]
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[GitHub] [incubator-mxnet] RafLit commented on a diff in pull request #21034: [FEATURE] Add tanh approximation for GeLU activation
Posted by GitBox <gi...@apache.org>.
RafLit commented on code in PR #21034:
URL: https://github.com/apache/incubator-mxnet/pull/21034#discussion_r903408675
##########
src/operator/operator_tune.cc:
##########
@@ -277,6 +277,7 @@ IMPLEMENT_UNARY_WORKLOAD_BWD(mxnet::op::mshadow_op::relu_grad);
IMPLEMENT_UNARY_WORKLOAD_FWD(mxnet::op::mshadow_op::selu); // NOLINT()
IMPLEMENT_UNARY_WORKLOAD_BWD(mxnet::op::mshadow_op::selu_grad); // NOLINT()
IMPLEMENT_UNARY_WORKLOAD_FWD(mxnet::op::mshadow_op::gelu); // NOLINT()
Review Comment:
Maybe change the name to gelu_erf to keep it consistent?
##########
src/operator/mshadow_op.h:
##########
@@ -617,9 +617,25 @@ MXNET_UNARY_MATH_OP(gelu,
(1.0f + math::erf(static_cast<float>(a) / SQRT_2))));
MXNET_BINARY_MATH_OP_NC(gelu_grad,
- DType(0.5f * (1.0f + math::erf(static_cast<float>(a) / SQRT_2) +
- static_cast<float>(a) *
- erf_grad::Map(static_cast<float>(a) / SQRT_2) / SQRT_2)));
+ DType(static_cast<float>(b) / static_cast<float>(a) +
+ 0.5f * static_cast<float>(a) *
+ erf_grad::Map(static_cast<float>(a) / SQRT_2) / SQRT_2));
+
+MXNET_UNARY_MATH_OP(gelu_tanh,
+ DType(0.5f * static_cast<float>(a) *
+ (1.0f + math::tanh(math::sqrt(2.0f / PI) *
+ (static_cast<float>(a) +
+ 0.044715 * math::pow(static_cast<float>(a), 3))))));
+
+MXNET_BINARY_MATH_OP_NC(
+ gelu_tanh_grad,
+ DType(static_cast<float>(b) *
+ (1.0f / static_cast<float>(a) +
+ (1.0f -
+ math::tanh(math::sqrt(2.0f / PI) *
+ (static_cast<float>(a) + 0.044715 * math::pow(static_cast<float>(a), 3))) *
+ (math::sqrt(2.0f / PI) *
+ (1.0f + 0.134145 * math::pow(static_cast<float>(a), 2)))))));
Review Comment:
It would be cleaner to define 0.044715 and 0.134145 as constants.
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[GitHub] [incubator-mxnet] bgawrych commented on pull request #21034: [FEATURE] Add tanh approximation for GeLU activation
Posted by GitBox <gi...@apache.org>.
bgawrych commented on PR #21034:
URL: https://github.com/apache/incubator-mxnet/pull/21034#issuecomment-1156035617
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[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #21034: [FEATURE] Add tanh approximation for GeLU activation
Posted by GitBox <gi...@apache.org>.
mxnet-bot commented on PR #21034:
URL: https://github.com/apache/incubator-mxnet/pull/21034#issuecomment-1160493696
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[GitHub] [incubator-mxnet] bgawrych commented on pull request #21034: [FEATURE] Add tanh approximation for GeLU activation
Posted by GitBox <gi...@apache.org>.
bgawrych commented on PR #21034:
URL: https://github.com/apache/incubator-mxnet/pull/21034#issuecomment-1164302365
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[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #21034: [FEATURE] Add tanh approximation for GeLU activation
Posted by GitBox <gi...@apache.org>.
mxnet-bot commented on PR #21034:
URL: https://github.com/apache/incubator-mxnet/pull/21034#issuecomment-1162676204
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[GitHub] [incubator-mxnet] bgawrych merged pull request #21034: [FEATURE] Add tanh approximation for GeLU activation
Posted by GitBox <gi...@apache.org>.
bgawrych merged PR #21034:
URL: https://github.com/apache/incubator-mxnet/pull/21034
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