提交 3aa01eaf 编写于 作者: H hedaoyuan

Fix ContextProjectionOpTest

上级 6d6804f1
...@@ -28,11 +28,12 @@ void testMatrixProjectionForward(int context_start, ...@@ -28,11 +28,12 @@ void testMatrixProjectionForward(int context_start,
std::max(0, (int)(context_start + context_length - 1)); std::max(0, (int)(context_start + context_length - 1));
if (pad == 0) is_padding = false; if (pad == 0) is_padding = false;
FunctionCompare test("ContextProjectionForward", FunctionCompare test(
FuncConfig() "ContextProjectionForward",
.set("context_length", context_length) FuncConfig()
.set("context_start", context_start) .set("context_length", context_length)
.set("begin_pad", std::max(0, -context_start))); .set("context_start", context_start)
.set("begin_pad", (size_t)std::max(0, -context_start)));
// prepare input arguments // prepare input arguments
test.addSequence(SequenceIdArg(TensorShape{batch_size})); test.addSequence(SequenceIdArg(TensorShape{batch_size}));
...@@ -51,7 +52,7 @@ void testMatrixProjectionForward(int context_start, ...@@ -51,7 +52,7 @@ void testMatrixProjectionForward(int context_start,
} }
void testMatrixProjectionBackward(int context_start, void testMatrixProjectionBackward(int context_start,
int context_length, size_t context_length,
bool is_padding, bool is_padding,
size_t batch_size, size_t batch_size,
size_t input_dim) { size_t input_dim) {
...@@ -59,13 +60,14 @@ void testMatrixProjectionBackward(int context_start, ...@@ -59,13 +60,14 @@ void testMatrixProjectionBackward(int context_start,
std::max(0, (int)(context_start + context_length - 1)); std::max(0, (int)(context_start + context_length - 1));
if (pad == 0) is_padding = false; if (pad == 0) is_padding = false;
FunctionCompare test("ContextProjectionBackward", FunctionCompare test(
FuncConfig() "ContextProjectionBackward",
.set("context_length", context_length) FuncConfig()
.set("context_start", context_start) .set("context_length", context_length)
.set("begin_pad", std::max(0, -context_start)) .set("context_start", context_start)
.set("is_padding", is_padding) .set("begin_pad", (size_t)std::max(0, -context_start))
.set("total_pad", pad)); .set("is_padding", is_padding)
.set("total_pad", pad));
// prepare input arguments // prepare input arguments
test.addSequence(SequenceIdArg(TensorShape{batch_size})); test.addSequence(SequenceIdArg(TensorShape{batch_size}));
......
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