Add isnan/isinf operator bprop.

mindspore/ccsrc/backend/kernel_compiler/gpu/nn/flatten_gpu_kernel.cc

@@ -60,6 +60,21 @@ MS_REG_GPU_KERNEL_ONE(Reshape, KernelAttr().AddInputAttr(kNumberTypeInt16).AddOu
                       FlattenGpuFwdKernel, int16_t)
 MS_REG_GPU_KERNEL_ONE(ExpandDims, KernelAttr().AddInputAttr(kNumberTypeInt16).AddOutputAttr(kNumberTypeInt16),
                       FlattenGpuFwdKernel, int16_t)
+// int8
+MS_REG_GPU_KERNEL_ONE(Flatten, KernelAttr().AddInputAttr(kNumberTypeInt8).AddOutputAttr(kNumberTypeInt8),
+                      FlattenGpuFwdKernel, char)
+MS_REG_GPU_KERNEL_ONE(Reshape, KernelAttr().AddInputAttr(kNumberTypeInt8).AddOutputAttr(kNumberTypeInt8),
+                      FlattenGpuFwdKernel, char)
+MS_REG_GPU_KERNEL_ONE(ExpandDims, KernelAttr().AddInputAttr(kNumberTypeInt8).AddOutputAttr(kNumberTypeInt8),
+                      FlattenGpuFwdKernel, char)
+
+// uint64
+MS_REG_GPU_KERNEL_ONE(Flatten, KernelAttr().AddInputAttr(kNumberTypeUInt64).AddOutputAttr(kNumberTypeUInt64),
+                      FlattenGpuFwdKernel, uint64_t)
+MS_REG_GPU_KERNEL_ONE(Reshape, KernelAttr().AddInputAttr(kNumberTypeUInt64).AddOutputAttr(kNumberTypeUInt64),
+                      FlattenGpuFwdKernel, uint64_t)
+MS_REG_GPU_KERNEL_ONE(ExpandDims, KernelAttr().AddInputAttr(kNumberTypeUInt64).AddOutputAttr(kNumberTypeUInt64),
+                      FlattenGpuFwdKernel, uint64_t)
 
 // uint32
 MS_REG_GPU_KERNEL_ONE(Flatten, KernelAttr().AddInputAttr(kNumberTypeUInt32).AddOutputAttr(kNumberTypeUInt32),
@@ -69,6 +84,14 @@ MS_REG_GPU_KERNEL_ONE(Reshape, KernelAttr().AddInputAttr(kNumberTypeUInt32).AddO
 MS_REG_GPU_KERNEL_ONE(ExpandDims, KernelAttr().AddInputAttr(kNumberTypeUInt32).AddOutputAttr(kNumberTypeUInt32),
                       FlattenGpuFwdKernel, uint)
 
+// uint16
+MS_REG_GPU_KERNEL_ONE(Flatten, KernelAttr().AddInputAttr(kNumberTypeUInt16).AddOutputAttr(kNumberTypeUInt16),
+                      FlattenGpuFwdKernel, uint16_t)
+MS_REG_GPU_KERNEL_ONE(Reshape, KernelAttr().AddInputAttr(kNumberTypeUInt16).AddOutputAttr(kNumberTypeUInt16),
+                      FlattenGpuFwdKernel, uint16_t)
+MS_REG_GPU_KERNEL_ONE(ExpandDims, KernelAttr().AddInputAttr(kNumberTypeUInt16).AddOutputAttr(kNumberTypeUInt16),
+                      FlattenGpuFwdKernel, uint16_t)
+
 // uint8
 MS_REG_GPU_KERNEL_ONE(Flatten, KernelAttr().AddInputAttr(kNumberTypeUInt8).AddOutputAttr(kNumberTypeUInt8),
                       FlattenGpuFwdKernel, uchar)
@@ -76,13 +99,7 @@ MS_REG_GPU_KERNEL_ONE(Reshape, KernelAttr().AddInputAttr(kNumberTypeUInt8).AddOu
                       FlattenGpuFwdKernel, uchar)
 MS_REG_GPU_KERNEL_ONE(ExpandDims, KernelAttr().AddInputAttr(kNumberTypeUInt8).AddOutputAttr(kNumberTypeUInt8),
                       FlattenGpuFwdKernel, uchar)
-// int8
-MS_REG_GPU_KERNEL_ONE(Flatten, KernelAttr().AddInputAttr(kNumberTypeInt8).AddOutputAttr(kNumberTypeInt8),
-                      FlattenGpuFwdKernel, char)
-MS_REG_GPU_KERNEL_ONE(Reshape, KernelAttr().AddInputAttr(kNumberTypeInt8).AddOutputAttr(kNumberTypeInt8),
-                      FlattenGpuFwdKernel, char)
-MS_REG_GPU_KERNEL_ONE(ExpandDims, KernelAttr().AddInputAttr(kNumberTypeInt8).AddOutputAttr(kNumberTypeInt8),
-                      FlattenGpuFwdKernel, char)
+
 // bool
 MS_REG_GPU_KERNEL_ONE(Flatten, KernelAttr().AddInputAttr(kNumberTypeBool).AddOutputAttr(kNumberTypeBool),
                       FlattenGpuFwdKernel, bool)

mindspore/ops/_grad/grad_math_ops.py

@@ -518,11 +518,12 @@ def get_bprop_erf(self):
     sqrt = P.Sqrt()
     cast = P.Cast()
     dtype = P.DType()
+    neg = P.Neg()
 
     def bprop(x, out, dout):
         half_root_pi = cast(2 / sqrt(F.scalar_to_tensor(np.pi)), dtype(x))
         x_square = square(x)
-        dx = dout * half_root_pi * exp(-x_square)
+        dx = dout * half_root_pi * exp(neg(x_square))
         return (dx,)
 
     return bprop
@@ -536,11 +537,12 @@ def get_bprop_erfc(self):
     sqrt = P.Sqrt()
     cast = P.Cast()
     dtype = P.DType()
+    neg = P.Neg()
 
     def bprop(x, out, dout):
         half_root_pi = cast(2 / sqrt(F.scalar_to_tensor(np.pi)), dtype(x))
         x_square = square(x)
-        dx = dout * (-half_root_pi * exp(-x_square))
+        dx = dout * (neg(half_root_pi) * exp(neg(x_square)))
         return (dx,)
     return bprop
 
@@ -803,6 +805,26 @@ def get_bprop_isfinite(self):
     return bprop
 
 
+@bprop_getters.register(P.IsNan)
+def get_bprop_isnan(self):
+    """Grad definition for `IsNan` operation."""
+
+    def bprop(x, out, dout):
+        return (zeros_like(x),)
+
+    return bprop
+
+
+@bprop_getters.register(P.IsInf)
+def get_bprop_isinf(self):
+    """Grad definition for `IsInf` operation."""
+
+    def bprop(x, out, dout):
+        return (zeros_like(x),)
+
+    return bprop
+
+
 @bprop_getters.register(P.Equal)
 def get_bprop_equal(self):
     """Grad definition for `Equal` operation."""

mindspore/ops/bprop_mindir/ApproximateEqual_bprop.mindir

@@ -16,4 +16,4 @@ bprop.32:x*
 bprop.32:y*
 bprop.32:out*
 
bprop.32:dout2
-bprop.32:[CNode]35:3:€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
+bprop.32:[CNode]35:3:€13f1e8534ff98b1256889fc50eb483e05dc629e575bb06330ae1f2238e2372e82366f7bd59ea5ec135e982de03b4f7cab6b61d833d046a6e13f78bdaf2fb2b22308a904f11db2ab38215d47cda4850a3914997fcd06109bfaa0989d884b51a65565f906930f68ca2413e9ad958d105e129e717cd183b95d11d65a8b0b030fc0d5f6486474eab638624ee1777f9652b2edd3f5f2873c570e2992de1d8b0e878737e635a08323207b4cb3f73fd8437b4d7ee28a7676a68f005a7749bd19e5ed4ec8e2ce5b00361039d0c4e69bd7f109a58f426d56b2a58bd719de8724107c0b9409ed3ebf517f1df8674f01f0e2e91023e456ea99273dba7499f29a0c615077bd2a6c407ad6a3b57190d3702d6a45031d13b97bb6952735edf94fb36f73dbff6cdab258748286fc6d783abacce203dfc79d2fc31e23a427ce1f86e08777a687f71c414b8c313aac4f85c6217fbbb7009dd079b2d5548f8b695a470a11cb8cc83e6f5e78f5b3c67f2e7bf339b250c3638aee952e1a073002e2834011401f3827260

mindspore/ops/bprop_mindir/Argmax_bprop.mindir

@@ -9,4 +9,4 @@ s
 bprop.13:x*
 bprop.13:out*
 
bprop.13:dout2
-bprop.13:[CNode]15:2:€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
+bprop.13:[CNode]15:2:€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

mindspore/ops/bprop_mindir/Argmin_bprop.mindir

@@ -9,4 +9,4 @@ s
 bprop.16:x*
 bprop.16:out*
 
bprop.16:dout2
-bprop.16:[CNode]18:2:€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
+bprop.16:[CNode]18:2:€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

mindspore/ops/bprop_mindir/AssignAdd_bprop.mindir

@@ -16,4 +16,4 @@ bprop.21:x*
 bprop.21:y*
 bprop.21:out*
 
bprop.21:dout2
-bprop.21:[CNode]24:3:€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
+bprop.21:[CNode]24:3:€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

mindspore/ops/bprop_mindir/AssignSub_bprop.mindir

@@ -16,4 +16,4 @@ bprop.25:x*
 bprop.25:y*
 bprop.25:out*
 
bprop.25:dout2
-bprop.25:[CNode]28:3:€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
+bprop.25:[CNode]28:3:€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

mindspore/ops/bprop_mindir/Assign_bprop.mindir

@@ -12,4 +12,4 @@ bprop.60:x*
 bprop.60:y*
 bprop.60:out*
 
bprop.60:dout2
-bprop.60:[CNode]62:2:€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
+bprop.60:[CNode]62:2:€13f1e8534ff98b1256889fc50eb483e05dc629e575bb06330ae1f2238e2372e82366f7bd59ea5ec135e982de03b4f7cab6b61d833d046a6e13f78bdaf2fb2b22308a904f11db2ab38215d47cda4850a3914997fcd06109bfaa0989d884b51a65565f906930f68ca2413e9ad958d105e129e717cd183b95d11d65a8b0b030fc0d5f6486474eab638624ee1777f9652b2edd3f5f2873c570e2992de1d8b0e878737e635a08323207b4cb3f73fd8437b4d7ee28a7676a68f005a7749bd19e5ed4ec8e2ce5b00361039d0c4e69bd7f109a58f426d56b2a58bd719de8724107c0b9409ed3ebf517f1df8674f01f0e2e91023e456ea99273dba7499f29a0c615077bd2a6c407ad6a3b57190d3702d6a45031d13b97bb6952735edf94fb36f73dbff6cdab258748286fc6d783abacce203dfc79d2fc31e23a427ce1f86e08777a687f71c414b8c313aac4f85c6217fbbb7009dd079b2d5548f8b695a470a11cb8cc83e6f5e78f5b3c67f2e7bf339b250c3638aee952e1a073002e2834011401f3827260

mindspore/ops/bprop_mindir/BNTrainingReduce_bprop.mindir

@@ -9,4 +9,4 @@ s
 bprop.67:x*
 bprop.67:out*
 
bprop.67:dout2
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mindspore/ops/bprop_mindir/Broadcast_bprop.mindir

@@ -6,4 +6,4 @@ l
 bprop.19:x*
 bprop.19:out*
 
bprop.19:dout2
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mindspore/ops/bprop_mindir/DropoutDoMask_bprop.mindir

@@ -17,4 +17,4 @@
 bprop.110:keep_prob*
 
bprop.110:out*
 bprop.110:dout2
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mindspore/ops/bprop_mindir/DropoutGenMask_bprop.mindir

@@ -12,4 +12,4 @@
 bprop.50:keep_prob*
 bprop.50:out*
 
bprop.50:dout2
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mindspore/ops/bprop_mindir/Equal_bprop.mindir

@@ -16,4 +16,4 @@ bprop.70:x*
 bprop.70:y*
 bprop.70:out*
 
bprop.70:dout2
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mindspore/ops/bprop_mindir/GreaterEqual_bprop.mindir

@@ -16,4 +16,4 @@ bprop.82:x*
 bprop.82:y*
 bprop.82:out*
 
bprop.82:dout2
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mindspore/ops/bprop_mindir/Greater_bprop.mindir

@@ -16,4 +16,4 @@ bprop.78:x*
 bprop.78:y*
 bprop.78:out*
 
bprop.78:dout2
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mindspore/ops/bprop_mindir/IOU_bprop.mindir

@@ -16,4 +16,4 @@ bprop.63:x*
 bprop.63:y*
 bprop.63:out*
 
bprop.63:dout2
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mindspore/ops/bprop_mindir/Identity_bprop.mindir

@@ -5,4 +5,4 @@ f
 	bprop.2:x*
 bprop.2:out*
 bprop.2:dout2
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mindspore/ops/bprop_mindir/IsFinite_bprop.mindir

@@ -9,4 +9,4 @@ s
 bprop.29:x*
 bprop.29:out*
 
bprop.29:dout2
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mindspore/ops/bprop_mindir/LessEqual_bprop.mindir

@@ -16,4 +16,4 @@ bprop.90:x*
 bprop.90:y*
 bprop.90:out*
 
bprop.90:dout2
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mindspore/ops/bprop_mindir/Less_bprop.mindir

@@ -16,4 +16,4 @@ bprop.86:x*
 bprop.86:y*
 bprop.86:out*
 
bprop.86:dout2
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mindspore/ops/bprop_mindir/LinSpace_bprop.mindir

@@ -15,4 +15,4 @@
 bprop.45:num*
 bprop.45:out*
 
bprop.45:dout2
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mindspore/ops/bprop_mindir/LogicalAnd_bprop.mindir

@@ -16,4 +16,4 @@ bprop.94:x*
 bprop.94:y*
 bprop.94:out*
 
bprop.94:dout2
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mindspore/ops/bprop_mindir/LogicalNot_bprop.mindir

@@ -9,4 +9,4 @@ s
 bprop.39:x*
 bprop.39:out*
 
bprop.39:dout2
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mindspore/ops/bprop_mindir/LogicalOr_bprop.mindir

@@ -16,4 +16,4 @@ bprop.98:x*
 bprop.98:y*
 bprop.98:out*
 
bprop.98:dout2
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mindspore/ops/bprop_mindir/NotEqual_bprop.mindir

@@ -16,4 +16,4 @@ bprop.74:x*
 bprop.74:y*
 bprop.74:out*
 
bprop.74:dout2
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mindspore/ops/bprop_mindir/OneHot_bprop.mindir

@@ -19,4 +19,4 @@
 bprop.54:off_value*
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bprop.54:dout2
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mindspore/ops/bprop_mindir/OnesLike_bprop.mindir

@@ -7,4 +7,4 @@ l
 	bprop.7:x*
 bprop.7:out*
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mindspore/ops/bprop_mindir/Range_bprop.mindir

@@ -7,4 +7,4 @@ l
 	bprop.4:x*
 bprop.4:out*
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mindspore/ops/bprop_mindir/ReLU_bprop.mindir

@@ -8,4 +8,4 @@ f
 	bprop.0:x*
 bprop.0:out*
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mindspore/ops/bprop_mindir/ReduceAll_bprop.mindir

@@ -12,4 +12,4 @@
 bprop.102:axis*
 
bprop.102:out*
 bprop.102:dout2
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mindspore/ops/bprop_mindir/ReduceAny_bprop.mindir

@@ -12,4 +12,4 @@
 bprop.106:axis*
 
bprop.106:out*
 bprop.106:dout2
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mindspore/ops/bprop_mindir/Round_bprop.mindir

@@ -9,4 +9,4 @@ s
 bprop.42:x*
 bprop.42:out*
 
bprop.42:dout2
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mindspore/ops/bprop_mindir/Sign_bprop.mindir

@@ -9,4 +9,4 @@ s
 bprop.36:x*
 bprop.36:out*
 
bprop.36:dout2
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mindspore/ops/bprop_mindir/ZerosLike_bprop.mindir

@@ -9,4 +9,4 @@ r
 bprop.10:x*
 bprop.10:out*
 
bprop.10:dout2
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