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* [GNA] added support for per-channel FakeQuantise layer * [GNA] added quantisation types detection in FQ enabled networks, and added input scale factors detection from FQ connected to input layer * added FakeQuantize callback that will be use to cast integer values stored as float in FakeQuantized layer * fixed per-channel multiplier calculation for int8 case * precision improvements for int8 fake quantization and support for propagating scale factors to activation layers * added initial int16 support * added support for fake quantize layer with many connected output layers and support for FQ data encoded as FP16 * added support for already quantized weights * Shared single layer test * Added subgraph test * Fix comment * int8 * Enabling FQ tests on GNA Co-authored-by: Eugene Smirnov <eugene.smirnov@intel.com> Co-authored-by: Andrey Dmitriev <andrey.dmitriev@intel.com>