Add GRU Operator #5255
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Add GRU Operator #5255
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qingqing01
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Nov 1, 2017
| "(string, default sigmoid) " | ||
| "The activation type used in update gate and reset gate.") | ||
| .SetDefault("sigmoid"); | ||
| AddAttr<bool>("is_reverse", |
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gate_activation -> gateActivation
is_reverse -> isReverse
paddle/operators/gru_op.cc
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| ctx->SetOutputDim("BatchHidden", {input_dims[0], frame_size}); | ||
| ctx->SetOutputDim("Hidden", {input_dims[0], frame_size}); | ||
| // ctx->ShareLoD("Input", "Gate"); | ||
| // ctx->ShareLoD("Input", "ResetHiddenPrev"); |
paddle/operators/gru_op.cc
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| GRUOpMaker(framework::OpProto* proto, framework::OpAttrChecker* op_checker) | ||
| : OpProtoAndCheckerMaker(proto, op_checker) { | ||
| AddInput("Input", | ||
| "(LoDTensor) The first input is a LodTensor, which support " |
paddle/operators/math/gru_compute.h
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| // } else { | ||
| // PADDLE_THROW("Do not support activation type."); | ||
| // } | ||
| // } |
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| def relu(x): | ||
| return np.maximum(x, 0) |
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Can these functions be imported from test_lstm_op.py ?
| return batch_gate, batch_reset_hidden_prev, hidden | ||
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| def set_data(self): | ||
| lod = [[0, 2, 6, 9]] |
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lod = [[0, 2, 6, 9]] -> lod = [[0, 2, 6, batch_size]] ?
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qingqing01
previously approved these changes
Nov 6, 2017
qingqing01
approved these changes
Nov 6, 2017
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Resolves #5254
Rewrite GatedRecurrentLayer in the new framework. Some code styles haven't formatted.