diff --git a/paddle/fluid/operators/pad2d_op.cc b/paddle/fluid/operators/pad2d_op.cc index 25a7be6dac4a98e57316d615c97372720606d4c6..df3bb9c01012185afa4b063dedd2ffebcaf0015a 100644 --- a/paddle/fluid/operators/pad2d_op.cc +++ b/paddle/fluid/operators/pad2d_op.cc @@ -466,34 +466,43 @@ class Pad2dOp : public framework::OperatorWithKernel { using framework::OperatorWithKernel::OperatorWithKernel; void InferShape(framework::InferShapeContext* ctx) const override { - PADDLE_ENFORCE(ctx->HasInput("X"), - "Input(X) of Pad2dOp should not be null."); - PADDLE_ENFORCE(ctx->HasOutput("Out"), - "Output(Out) of Pad2dOp should not be null."); + OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "Pad2d"); + OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "Out", "Pad2d"); auto x_dim = ctx->GetInputDim("X"); PADDLE_ENFORCE_EQ(x_dim.size(), 4, - "The size of input(X)'s dimension should be equal to 4."); + platform::errors::InvalidArgument( + "The size of Input(X)'s dimension should be equal to " + "4, but received %d. ", + x_dim.size())); std::vector out_dims(x_dim.size()); auto data_format = ctx->Attrs().Get("data_format"); out_dims[0] = x_dim[0]; if (ctx->HasInput("Paddings")) { auto paddings_dim = ctx->GetInputDim("Paddings"); - PADDLE_ENFORCE_EQ( - paddings_dim.size(), 1, - "Size of Input(Paddings)'s dimension should be equal to 1."); + PADDLE_ENFORCE_EQ(paddings_dim.size(), 1, + platform::errors::InvalidArgument( + "Size of Input(Paddings)'s dimension should be " + "equal to 1, but received %d.", + paddings_dim.size())); if (ctx->IsRuntime()) { PADDLE_ENFORCE_EQ(paddings_dim[0], 4, - "Shape of Input(Paddings) should be equal to [4]."); + platform::errors::InvalidArgument( + "Shape of Input(Paddings) should be equal to " + "[4], but received [%d].", + paddings_dim[0])); } out_dims[1] = x_dim[1]; out_dims[2] = x_dim[2]; out_dims[3] = x_dim[3]; } else { auto paddings = ctx->Attrs().Get>("paddings"); - PADDLE_ENFORCE_EQ(paddings.size(), 4, - "Size of paddings should be equal to 4."); + PADDLE_ENFORCE_EQ( + paddings.size(), 4, + platform::errors::InvalidArgument( + "Size of paddings should be equal to 4, but received %d.", + static_cast(paddings.size()))); if (data_format == "NCHW") { out_dims[1] = x_dim[1]; // channel out_dims[2] = ((!ctx->IsRuntime()) && (x_dim[2] < 0)) @@ -608,9 +617,10 @@ class Pad2dOpGrad : public framework::OperatorWithKernel { using framework::OperatorWithKernel::OperatorWithKernel; void InferShape(framework::InferShapeContext* ctx) const override { - PADDLE_ENFORCE(ctx->HasInput("X"), "Input(X) should not be null"); - PADDLE_ENFORCE(ctx->HasInput(framework::GradVarName("Out")), - "Input(Out@GRAD) should not be null"); + OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "Pad2d@Grad"); + OP_INOUT_CHECK(ctx->HasInput(framework::GradVarName("Out")), "Input", + framework::GradVarName("Out"), "Pad2d@Grad"); + auto x_dims = ctx->GetInputDim("X"); auto x_grad_name = framework::GradVarName("X"); if (ctx->HasOutput(x_grad_name)) { diff --git a/paddle/fluid/operators/pad_constant_like_op.cc b/paddle/fluid/operators/pad_constant_like_op.cc index fc78c872698b80ebcbea2a9278ef6843b96257eb..95aaed4453517dd81fcfb277f46df8020be3ac11 100644 --- a/paddle/fluid/operators/pad_constant_like_op.cc +++ b/paddle/fluid/operators/pad_constant_like_op.cc @@ -25,18 +25,19 @@ class PadConstantLikeOp : public framework::OperatorWithKernel { using framework::OperatorWithKernel::OperatorWithKernel; void InferShape(framework::InferShapeContext *ctx) const override { - PADDLE_ENFORCE(ctx->HasInput("X"), - "Input(X) of PadConstantLikeOp should not be null."); - PADDLE_ENFORCE(ctx->HasInput("Y"), - "Input(Y) of PadConstantLikeOp should not be null."); - PADDLE_ENFORCE(ctx->HasOutput("Out"), - "Output(Out) of PadConstantLikeOp should not be null."); + OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "PadConstantLike"); + OP_INOUT_CHECK(ctx->HasInput("Y"), "Input", "Y", "PadConstantLike"); + OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "Out", "PadConstantLike"); auto x_dim = ctx->GetInputDim("X"); auto y_dim = ctx->GetInputDim("Y"); PADDLE_ENFORCE_EQ(x_dim.size(), y_dim.size(), - "The dimension of X and Y should be the same."); + platform::errors::InvalidArgument( + "The size of Input(X)'s dimension and the size of " + "Input(Y)'s dimension should be the same, but " + "received %d for Input(X) vs %d for Input(Y).", + x_dim.size(), y_dim.size())); for (int i = 0; i < x_dim.size(); ++i) { if ((!ctx->IsRuntime()) && ((x_dim[i] == -1) || (y_dim[i] == -1))) { @@ -44,8 +45,11 @@ class PadConstantLikeOp : public framework::OperatorWithKernel { } else { PADDLE_ENFORCE_GE( x_dim[i], y_dim[i], - "expected X_dim[i] >= Y_dim[i], but received %d < %d for dim %d", - x_dim[i], y_dim[i], i); + platform::errors::InvalidArgument( + "The size of each dimension of Input(X) expected to be greater " + "than or equal to size of corresponding dimension of Input(Y) " + "(X_dim[i] >= Y_dim[i]), but received %d < %d for dimension %d", + x_dim[i], y_dim[i], i)); } } @@ -157,14 +161,20 @@ class PadConstantLikeOpGrad : public framework::OperatorWithKernel { using framework::OperatorWithKernel::OperatorWithKernel; void InferShape(framework::InferShapeContext *ctx) const override { - PADDLE_ENFORCE(ctx->HasInput("Y"), "Input(Y) should not be null"); - PADDLE_ENFORCE(ctx->HasInput(framework::GradVarName("Out")), - "Input(Out@GRAD) should not be null"); + OP_INOUT_CHECK(ctx->HasInput("Y"), "Input", "Y", "PadConstantLike@Grad"); + OP_INOUT_CHECK(ctx->HasInput(framework::GradVarName("Out")), "Input", + framework::GradVarName("Out"), "PadConstantLike@Grad"); + auto y_dim = ctx->GetInputDim("Y"); auto dout_dim = ctx->GetInputDim(framework::GradVarName("Out")); - PADDLE_ENFORCE_EQ(dout_dim.size(), y_dim.size(), - "The dimension of X and Y should be the same."); + PADDLE_ENFORCE_EQ( + dout_dim.size(), y_dim.size(), + platform::errors::InvalidArgument( + "Op(PadConstantLike@Grad) the size of Input(Out@Grad)'s dimension " + "and the size of Input(Y)'s dimension should be the same, but " + "received %d for Input(Out@Grad) vs %d for Input(Y).", + dout_dim.size(), y_dim.size())); auto y_grad_name = framework::GradVarName("Y"); if (ctx->HasOutput(y_grad_name)) { @@ -175,10 +185,14 @@ class PadConstantLikeOpGrad : public framework::OperatorWithKernel { if ((!ctx->IsRuntime()) && ((dout_dim[i] == -1) || (y_dim[i] == -1))) { continue; } else { - PADDLE_ENFORCE_GE(dout_dim[i], y_dim[i], - "expected Out_dim[i] >= Y_dim[i], but received %d " - "< %d for dim %d", - dout_dim[i], y_dim[i], i); + PADDLE_ENFORCE_GE( + dout_dim[i], y_dim[i], + platform::errors::InvalidArgument( + "The size of each dimension of Input(Out@Grad) expected to " + "be greater than or equal to size of corresponding dimension " + "of Input(Y) (Out_dim[i] >= Y_dim[i]), but received %d < %d " + "for dimension %d", + dout_dim[i], y_dim[i], i)); } } } diff --git a/paddle/fluid/operators/pad_op.cc b/paddle/fluid/operators/pad_op.cc index a4c2f42b1636c527c818ba0e5d2dc522d35126ee..91de48100aaaaee2b0e63cb4f9745a856d11f61a 100644 --- a/paddle/fluid/operators/pad_op.cc +++ b/paddle/fluid/operators/pad_op.cc @@ -25,17 +25,24 @@ class PadOp : public framework::OperatorWithKernel { using framework::OperatorWithKernel::OperatorWithKernel; void InferShape(framework::InferShapeContext* ctx) const override { - PADDLE_ENFORCE(ctx->HasInput("X"), "Input(X) of PadOp should not be null."); - PADDLE_ENFORCE(ctx->HasOutput("Out"), - "Output(Out) of PadOp should not be null."); + OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "Pad"); + OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "Out", "Pad"); auto x_dim = ctx->GetInputDim("X"); auto& paddings = ctx->Attrs().Get>("paddings"); - PADDLE_ENFORCE_EQ(x_dim.size() * 2, int64_t(paddings.size()), - "Size of paddings should be equal to 2 * dimension size " - "of input tensor."); + PADDLE_ENFORCE_EQ( + static_cast(paddings.size()), x_dim.size() * 2, + platform::errors::InvalidArgument( + "Size of 'paddings' dimension should be equal to 2 * size of " + "Input(X)'s dimension, but received (size of 'paddings' dimension " + "is) %d vs (2 * size of Input(X)'s dimension is) %d.", + static_cast(paddings.size()), x_dim.size() * 2)); for (size_t i = 0; i < paddings.size(); ++i) { - PADDLE_ENFORCE_GE(paddings[i], 0, "paddings should >= 0."); + PADDLE_ENFORCE_GE(paddings[i], 0, + platform::errors::InvalidArgument( + "The element of 'paddings' should >= 0, but " + "received %d for index %d.", + paddings[i], static_cast(i))); } std::vector out_dims(x_dim.size()); for (int i = 0; i < x_dim.size(); ++i) { diff --git a/python/paddle/fluid/layers/nn.py b/python/paddle/fluid/layers/nn.py index 55d0b091b546e324379df3a388993940c2fa607f..15acc9f0ccd30c1a6b5ad7282415a9aa9af71571 100644 --- a/python/paddle/fluid/layers/nn.py +++ b/python/paddle/fluid/layers/nn.py @@ -6487,6 +6487,9 @@ def pad(x, paddings, pad_value=0., name=None): x = fluid.data(name='data', shape=[300, 300], dtype='float32') out = fluid.layers.pad(x=x, paddings=[0, 1, 1, 2], pad_value=0.) """ + check_variable_and_dtype( + x, 'x', ['float16', 'float32', 'float64', 'int32', 'int64'], "pad") + helper = LayerHelper('pad', input=x, **locals()) dtype = helper.input_dtype() out = helper.create_variable_for_type_inference(dtype) @@ -6578,6 +6581,10 @@ def pad_constant_like(x, y, pad_value=0., name=None): out = fluid.layers.pad_constant_like(x=x, y=y, pad_value=0.) # out is a rank 4 tensor variable, and out.shape = [2, 3 ,2 , 3] """ + check_type(x, 'x', (Variable), 'pad_constant_like') + check_variable_and_dtype(y, 'y', ['float32', 'float64', 'int32', 'int64'], + "pad_constant_like") + helper = LayerHelper('pad_constant_like', input=x, **locals()) dtype = helper.input_dtype() out = helper.create_variable_for_type_inference(dtype) @@ -8862,6 +8869,9 @@ def pad2d(input, data = fluid.data(name='data', shape=[None, 3, 32, 32], dtype='float32') result = fluid.layers.pad2d(input=data, paddings=[0, 1, 2, 3], mode='reflect') """ + check_variable_and_dtype( + input, 'input', ['float16', 'float32', 'float64', 'int32', 'int64'], + "pad2d") if in_dygraph_mode(): _paddings = paddings.numpy().tolist() if isinstance( diff --git a/python/paddle/fluid/tests/unittests/test_pad2d_op.py b/python/paddle/fluid/tests/unittests/test_pad2d_op.py index a4f3855325b4104377ba493bc05cf19d022af3ba..1da94ee4fca95ca53e706f397e7ce74099e34cf6 100644 --- a/python/paddle/fluid/tests/unittests/test_pad2d_op.py +++ b/python/paddle/fluid/tests/unittests/test_pad2d_op.py @@ -15,6 +15,8 @@ import unittest import numpy as np from op_test import OpTest +import paddle.fluid as fluid +from paddle.fluid import Program, program_guard class TestPad2dOp(OpTest): @@ -124,5 +126,20 @@ class TestCase7(TestPad2dOp): self.variable_paddings = True +class TestPad2dOpError(unittest.TestCase): + def test_errors(self): + with program_guard(Program(), Program()): + input_data = np.random.random((2, 2, 2, 2)).astype("float32") + + def test_Variable(): + fluid.layers.pad2d(input=input_data, paddings=[1, 1, 1, 1]) + + self.assertRaises(TypeError, test_Variable) + + data = fluid.data( + name='data', shape=[None, 3, 20, 20], dtype='float16') + fluid.layers.pad2d(input=data, paddings=[1, 1, 1, 1]) + + if __name__ == '__main__': unittest.main() diff --git a/python/paddle/fluid/tests/unittests/test_pad_constant_like.py b/python/paddle/fluid/tests/unittests/test_pad_constant_like.py index 290b217c31ec323feb00b398965d2ec28739d537..b71b843330bfb3a8961aad18f2a81cc4f614f9e4 100644 --- a/python/paddle/fluid/tests/unittests/test_pad_constant_like.py +++ b/python/paddle/fluid/tests/unittests/test_pad_constant_like.py @@ -17,9 +17,11 @@ from __future__ import print_function import unittest import numpy as np from op_test import OpTest +import paddle.fluid as fluid +from paddle.fluid import Program, program_guard -class TestPadOp(OpTest): +class TestPadConstantLikeOp(OpTest): def setUp(self): self.initTestCase() self.op_type = "pad_constant_like" @@ -49,7 +51,7 @@ class TestPadOp(OpTest): self.paddings = [(0, 13), (0, 0)] -class TestCase1(TestPadOp): +class TestCase1(TestPadConstantLikeOp): def initTestCase(self): self.x_shape = (4, 3, 4, 5) self.y_shape = (2, 3, 4, 5) @@ -57,7 +59,7 @@ class TestCase1(TestPadOp): self.pad_value = 0.5 -class TestCase2(TestPadOp): +class TestCase2(TestPadConstantLikeOp): def initTestCase(self): self.x_shape = (4, 3, 4, 10) self.y_shape = (2, 3, 2, 10) @@ -65,5 +67,26 @@ class TestCase2(TestPadOp): self.pad_value = 0.5 +class TestPadConstantLikeOpError(unittest.TestCase): + def test_errors(self): + with program_guard(Program(), Program()): + x_data = np.random.random((2, 2, 2, 2)).astype("float32") + y_data = np.random.random((2, 2, 2, 2)).astype("float32") + + def test_Variable_x(): + var_y = fluid.data( + name="data_y", shape=[2, 2, 2, 2], dtype="float32") + fluid.layers.pad_constant_like(x=x_data, y=var_y) + + self.assertRaises(TypeError, test_Variable_x) + + def test_Variable_y(): + var_x = fluid.data( + name="data_x", shape=[2, 2, 2, 2], dtype="float32") + fluid.layers.pad_constant_like(x=var_x, y=y_data) + + self.assertRaises(TypeError, test_Variable_y) + + if __name__ == '__main__': unittest.main() diff --git a/python/paddle/fluid/tests/unittests/test_pad_op.py b/python/paddle/fluid/tests/unittests/test_pad_op.py index 7713c3da9303f3c8cea2608a34678ec80a39ae7a..a62d19d1c0ccf5c7e05038158cf1efb1c5913e66 100644 --- a/python/paddle/fluid/tests/unittests/test_pad_op.py +++ b/python/paddle/fluid/tests/unittests/test_pad_op.py @@ -18,6 +18,8 @@ import unittest import numpy as np from op_test import OpTest import paddle.fluid.core as core +import paddle.fluid as fluid +from paddle.fluid import Program, program_guard class TestPadOp(OpTest): @@ -95,5 +97,20 @@ create_test_fp16(TestCase1) create_test_fp16(TestCase2) create_test_fp16(TestCase3) + +class TestPadOpError(unittest.TestCase): + def test_errors(self): + with program_guard(Program(), Program()): + input_data = np.random.random((2, 2)).astype("float32") + + def test_Variable(): + fluid.layers.pad(x=input_data, paddings=[1, 1, 1, 1]) + + self.assertRaises(TypeError, test_Variable) + + data = fluid.data(name='data', shape=[4], dtype='float16') + fluid.layers.pad(x=data, paddings=[0, 1]) + + if __name__ == '__main__': unittest.main()