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MKLDNNMemoryDesc undefined state has been implemented
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,48 @@ | ||
| // Copyright (C) 2021 Intel Corporation | ||
| // SPDX-License-Identifier: Apache-2.0 | ||
| // | ||
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| #include "cpu_shape.h" | ||
| #include "utils/general_utils.h" | ||
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| using namespace MKLDNNPlugin; | ||
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| bool Shape::isCompatible(const std::vector<size_t> &vecDims) const { | ||
| if (getRank() != vecDims.size()) { | ||
| return false; | ||
| } | ||
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| auto comparator = [](size_t lhs, size_t rhs) { | ||
| return (lhs == rhs) || (lhs == Shape::UNDEFINED_DIM); | ||
| }; | ||
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| if (!std::equal(getDims().begin(), getDims().end(), vecDims.begin(), comparator)) { | ||
| return false; | ||
| } | ||
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| if (!std::equal(getMaxDims().begin(), getMaxDims().end(), vecDims.begin(), [](size_t lhs, size_t rhs) { return lhs >= rhs; })) { | ||
| return false; | ||
| } | ||
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| if (!std::equal(getMinDims().begin(), getMinDims().end(), vecDims.begin(), [](size_t lhs, size_t rhs) { return lhs <= rhs; })) { | ||
| return false; | ||
| } | ||
| return true; | ||
| } | ||
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| std::string Shape::toString() const { | ||
| std::stringstream output; | ||
| output << "{"; | ||
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| size_t i = 0; | ||
| do { | ||
| if (dims[i] == Shape::UNDEFINED_DIM) { | ||
| output << dim2str(minDims[i]) << " - " << dim2str(maxDims[i]); | ||
| } else { | ||
| output << dims[i]; | ||
| } | ||
| } while (++i < dims.size() && output << ", "); | ||
|
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| output << "}"; | ||
| return output.str(); | ||
| } |
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