未验证 提交 8bd549bb 编写于 作者: H Hongyu Liu 提交者: GitHub

Merge pull request #16861 from tensor-tang/refine/infershape

separate runtime infershape
......@@ -64,12 +64,19 @@ void AttentionLSTMOp::InferShape(framework::InferShapeContext* ctx) const {
auto c_dims = ctx->GetInputDim("C0");
PADDLE_ENFORCE_EQ(c_dims.size(), 2, "Input(C0)'s rank must be 2.");
PADDLE_ENFORCE_EQ(c_dims[1], D, "C0 dims should be N x %d.", D);
if (ctx->IsRuntime()) {
PADDLE_ENFORCE_EQ(c_dims[1], D, "C0 dims should be N x %d.", D);
}
if (ctx->HasInput("H0")) {
auto h_dims = ctx->GetInputDim("H0");
PADDLE_ENFORCE(h_dims == c_dims,
"The dimension of Input(H0) and Input(C0) "
"should be the same.");
PADDLE_ENFORCE_EQ(h_dims.size(), 2UL, "Input(H0)'s rank must be 2.");
if (ctx->IsRuntime() ||
(framework::product(c_dims) > 0 && framework::product(h_dims) > 0)) {
PADDLE_ENFORCE(h_dims == c_dims,
"The dimension of Input(H0) and Input(C0) "
"should be the same.");
}
}
auto atten_w_dims = ctx->GetInputDim("AttentionWeight");
......@@ -79,6 +86,7 @@ void AttentionLSTMOp::InferShape(framework::InferShapeContext* ctx) const {
"AttentionWeight shapes must be (%d + %d) * 1.", M, D);
PADDLE_ENFORCE_EQ(atten_w_dims[1], 1,
"AttentionWeight shapes must be (%d + %d) * 1.", M, D);
if (ctx->HasInput("AttentionBias")) {
auto atten_b_dims = ctx->GetInputDim("AttentionBias");
PADDLE_ENFORCE_EQ(atten_b_dims.size(), 2,
......
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