a808bb37a6
Add complete SDK implementations for accessing Synor Compute: JavaScript/TypeScript SDK (sdk/js/): - Full async/await API with TypeScript types - Tensor operations: matmul, conv2d, attention - Model inference with streaming support - WebSocket-based job monitoring - Browser and Node.js compatible Python SDK (sdk/python/): - Async/await with aiohttp - NumPy integration for tensors - Context managers for cleanup - Type hints throughout - PyPI-ready package structure Go SDK (sdk/go/): - Idiomatic Go with context support - Efficient binary tensor serialization - HTTP client with configurable timeouts - Zero external dependencies (stdlib only) All SDKs support: - Matrix multiplication (FP64 to INT4 precision) - Convolution operations (2D, 3D) - Flash attention - LLM inference - Spot pricing queries - Job polling and cancellation - Heterogeneous compute targeting (CPU/GPU/TPU/NPU/LPU)
44 lines
947 B
Python
44 lines
947 B
Python
"""
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Synor Compute SDK for Python
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Access distributed heterogeneous compute resources (CPU, GPU, TPU, NPU, LPU)
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for AI/ML workloads at 90% cost reduction compared to traditional cloud.
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Example:
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>>> from synor_compute import SynorCompute
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>>> compute = SynorCompute(api_key="your-api-key")
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>>> result = await compute.matmul(a, b, precision="fp16")
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"""
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from .client import SynorCompute, SynorError
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from .tensor import Tensor
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from .job import ComputeJob, JobBatch
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from .types import (
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ProcessorType,
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Precision,
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BalancingStrategy,
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TaskPriority,
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JobStatus,
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SynorConfig,
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JobResult,
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JobMetrics,
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PricingInfo,
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)
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__version__ = "0.1.0"
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__all__ = [
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"SynorCompute",
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"SynorError",
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"Tensor",
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"ComputeJob",
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"JobBatch",
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"ProcessorType",
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"Precision",
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"BalancingStrategy",
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"TaskPriority",
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"JobStatus",
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"SynorConfig",
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"JobResult",
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"JobMetrics",
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"PricingInfo",
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]
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