forked from mindspore-Ecosystem/mindspore
!23660 textcnn bug fix and codedex fix
Merge pull request !23660 from huangbo/master_codedex
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commit
fc37f44f90
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@ -19,10 +19,10 @@
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namespace mindspore {
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namespace kernel {
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size_t NmsRoundUpPower2(int v) {
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uint32_t NmsRoundUpPower2(int v) {
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constexpr uint32_t ONE = 1, TWO = 2, FOUR = 4, EIGHT = 8, SIXTEEN = 16;
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v--;
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size_t value = IntToSize(v);
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uint32_t value = IntToUint(v);
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value |= value >> ONE;
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value |= value >> TWO;
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value |= value >> FOUR;
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@ -216,7 +216,7 @@ void NMSWithMaskCPUKernel<T>::InitInputOutputSize(const CNodePtr &kernel_node) {
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CPUKernel::InitInputOutputSize(kernel_node);
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auto input_shape = AnfAlgo::GetPrevNodeOutputInferShape(kernel_node, 0);
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num_input_ = SizeToInt(input_shape[0]); // Get N values in [N, 5] data.
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ceil_power_2 = NmsRoundUpPower2(num_input_);
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ceil_power_2 = static_cast<size_t>(NmsRoundUpPower2(num_input_));
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workspace_size_list_.push_back(ceil_power_2 * sizeof(T)); // data buff
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workspace_size_list_.push_back(ceil_power_2 * sizeof(int)); // index buff
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@ -118,12 +118,12 @@ void RandomChoiceWithMaskCPUKernel::InitInputOutputSize(const CNodePtr &kernel_n
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CPUKernel::InitInputOutputSize(kernel_node);
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GetInputTotalCount(dims_, &input_total_count, input_dim_size);
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size_t temp_output_length = count_ > 0 ? count_ : input_total_count;
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int temp_output_length = count_ > 0 ? count_ : input_total_count;
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workspace_size_list_.push_back(IntToSize(input_total_count) * sizeof(int));
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workspace_size_list_.push_back(temp_output_length * sizeof(int));
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workspace_size_list_.push_back(temp_output_length * sizeof(int));
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workspace_size_list_.push_back(temp_output_length * IntToSize(input_dim_size) * sizeof(int));
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workspace_size_list_.push_back(IntToSize(temp_output_length) * sizeof(int));
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workspace_size_list_.push_back(IntToSize(temp_output_length) * sizeof(int));
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workspace_size_list_.push_back(IntToSize(temp_output_length) * IntToSize(input_dim_size) * sizeof(int));
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}
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bool RandomChoiceWithMaskCPUKernel::Launch(const std::vector<kernel::AddressPtr> &inputs,
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@ -23,8 +23,8 @@ template <typename T, typename U>
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void AtomicAddTask(T *const address, const T val) {
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auto *address_as_ull = reinterpret_cast<U *>(address);
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U old = *address_as_ull;
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U assumed;
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T desired;
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U assumed = U(0);
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T desired = T(0);
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do {
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assumed = old;
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T *assumed_t = reinterpret_cast<T *>(&assumed);
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@ -6097,6 +6097,7 @@ class SearchSorted(PrimitiveWithInfer):
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validator.check_tensors_dtypes_same_and_valid(args, mstype.number_type, self.name)
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return mstype.tensor_type(mstype.int32) if self.out_int32 else mstype.tensor_type(mstype.int64)
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class TensorScatterMax(PrimitiveWithInfer):
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"""
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By comparing the value at the position indicated by the index in input_x with the value in the update,
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@ -129,7 +129,7 @@ class MovieReview(DataProcessor):
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self.Pos = []
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self.Neg = []
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for filename in self.files:
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with codecs.open(filename, 'r') as f:
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with codecs.open(filename, 'r', 'Latin1') as f:
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ff = f.read()
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with codecs.open(filename, 'w', 'utf-8') as file_object:
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file_object.write(ff)
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