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samples/bookinfo/src/productpage/productpage.py
} ] def getProduct(product_id): products = getProducts() if product_id + 1 > len(products): return None else: return products[product_id] def getProductDetails(product_id, headers): try:
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Mon Jun 10 14:35:54 UTC 2024 - 14.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/unroll_batch_matmul.cc
/*transpose_a=*/op.getAdjX(), /*transpose_b=*/op.getAdjY()); matmuls.emplace_back(matmul.getProduct()); } // Combine the result of each individual MatMul into a rank-3 tensor. Type packed_type = RankedTensorType::get( {bcast.output_batch_size(), rows, cols}, element_type);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/lower_tf.cc
auto op = cast<SparseMatMulOp>(src_op); // Result type must be f32 for applying the pattern (currently this is // required by the op anyway but this might change). if (!mlir::cast<TensorType>(op.getProduct().getType()) .getElementType() .isF32()) { return failure(); } MLIRContext *context = rewriter.getContext();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 74.9K bytes - Viewed (0)