3aff77a799
Expands SDK support to 8 additional languages/frameworks: - Java SDK with Maven/OkHttp/Jackson - Kotlin SDK with Gradle/Ktor/kotlinx.serialization - Swift SDK with Swift Package Manager/async-await - C SDK with CMake/libcurl - C++ SDK with CMake/Modern C++20 - C# SDK with .NET 8.0/HttpClient - Ruby SDK with Bundler/Faraday - Rust SDK with Cargo/reqwest/tokio All SDKs include: - Tensor operations (matmul, conv2d, attention) - LLM inference with streaming support - Model registry, pricing, and usage APIs - Builder patterns where idiomatic - Full type safety
48 lines
1.3 KiB
Ruby
48 lines
1.3 KiB
Ruby
# frozen_string_literal: true
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require_relative "synor_compute/version"
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require_relative "synor_compute/types"
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require_relative "synor_compute/tensor"
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require_relative "synor_compute/client"
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# Synor Compute SDK for Ruby
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#
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# Access distributed heterogeneous compute resources (CPU, GPU, TPU, NPU, LPU, FPGA, DSP)
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# for AI/ML workloads at 90% cost reduction compared to traditional cloud.
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#
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# @example Quick Start
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# require 'synor_compute'
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#
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# # Create client
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# client = SynorCompute::Client.new(api_key: 'your-api-key')
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#
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# # Matrix multiplication on GPU
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# a = SynorCompute::Tensor.rand([512, 512])
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# b = SynorCompute::Tensor.rand([512, 512])
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# result = client.matmul(a, b, processor: :gpu, precision: :fp16)
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#
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# if result.success?
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# puts "Time: #{result.execution_time_ms}ms"
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# end
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#
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# # LLM inference
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# response = client.inference('llama-3-70b', 'Explain quantum computing')
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# puts response.result
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#
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# # Streaming inference
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# client.inference_stream('llama-3-70b', 'Write a poem') do |token|
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# print token
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# end
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#
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module SynorCompute
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class Error < StandardError; end
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class ApiError < Error
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attr_reader :status_code
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def initialize(message, status_code: nil)
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super(message)
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@status_code = status_code
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end
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end
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class ClientClosedError < Error; end
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end
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